[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_byId_1f73cfb1-2291-4703-8057-1af98083a184":3,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:1f73cfb1-2291-4703-8057-1af98083a184,\"}":90},{"code":4,"data":5,"meta":22},"SUCCESS",{"id":6,"createTime":7,"updateTime":8,"relativeEntities":9,"slug":10,"properties":11,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":24,"manageAffiliations":31,"indexDatabases":47,"url":22,"thumbnailPath":22,"statistic":83,"gsStatistic":22,"type":89,"analyzePriority":22},"1f73cfb1-2291-4703-8057-1af98083a184","2024-04-07T02:58:26.998+00:00","2025-11-21T10:07:35.302+00:00",[],"Biomass-Conversion-and-Biorefinery",{"eissn":12,"issn":14,"title":16,"url":18},{"VOID":13},"21906815",{"VOID":15},"21906823",{"EN":17},"Biomass Conversion and Biorefinery",{"VOID":19},"https:\u002F\u002Flink.springer.com\u002Fjournal\u002F13399","PUBLISHER","PENDING",null,0,[25],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":27,"label":28,"description":30,"parentId":22,"standard":22,"scholarHubFieldId":22},"c5147a36-0234-45f5-8342-724eab1ecfb1",[],{"EN":29},"Renewable Energy, Sustainability and the Environment",{},[32,40],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":34,"slug":22,"properties":35,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":38,"statistic":22},"6b6d67d8-1887-4ca8-86c5-a38f66f10928",[],{"title":36},{"EN":37},"Springer Verlag",[39],"9a7c7208-b28a-42c2-a634-5a7f90eee3ab",{"id":41,"createTime":22,"updateTime":22,"relativeEntities":42,"slug":22,"properties":43,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":46,"statistic":22},"869fc292-62ea-48f4-960e-51fea58b02ba",[],{"title":44},{"EN":45},"Springer Heidelberg",[39],[48,65],{"id":49,"indexDatabase":50,"url":60,"indexYears":61,"academicFieldIds":62,"indexDatabaseRanking":64},"780d9f06-e16f-4989-8033-8d408f4df6dc",{"id":51,"createTime":22,"updateTime":22,"relativeEntities":52,"label":53,"description":55,"key":57,"publicationTags":58,"standard":22},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9",[],{"EN":54,"VI":54},"Scopus - Elsevier",{"EN":54,"VI":56},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[59],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F21100466851","2011-2025",[63],"8562a691-2211-4042-8a21-a63b201683fe","SCOPUS__Q2",{"id":66,"indexDatabase":67,"url":79,"indexYears":22,"academicFieldIds":80,"indexDatabaseRanking":22},"005b174c-dafe-4f84-9929-08073fd88f39",{"id":68,"createTime":22,"updateTime":22,"relativeEntities":69,"label":70,"description":72,"key":75,"publicationTags":76,"standard":22},"a4921856-b128-4d9f-8f1f-e80813d3bbd4",[],{"EN":71,"VI":71},"ISI\u002FSCIE - Science Citation Index Expanded",{"EN":73,"VI":74},"SCIE database","Cơ sở dữ liệu SCIE","scie",[77,78],"SCIE","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=2190-6815",[81,82],"b9de2dc0-e3c5-4d41-9bb2-edad22f0ba84","a44e32db-454c-4c91-a7f7-c422b1913231",{"impactFactor":23,"impactFactorByYear":84,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":86,"totalCitation":23,"totalCitationByYear":87,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":88,"hindexLast5Year":23,"hindex":23},{},1,{"2022":85},{},{},"JOURNAL",{"meta":91,"data":93},{"total":92},"3728",[94,232,400,549,645,740,1179,1614,2079,2726],{"id":95,"createTime":96,"updateTime":97,"relativeEntities":98,"slug":99,"properties":100,"entityType":110,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":111,"viewCount":23,"primaryUrl":113,"fullTextUrl":22,"authors":114,"publicationType":181,"publisherRelationship":182,"citationCount":22,"citationInfo":22,"publishDate":228,"publishYear":229,"citationAnalyzeStatus":21,"lastCitationAnalyze":22,"indexDatabases":230,"openAccess":22,"references":22,"isForceReanalyzing":231},"600b097f-91d8-40ad-beb9-f1a7ad512ab8","2023-12-09T00:50:31.372+00:00","2026-09-10T08:12:22.113+00:00",[],"Ultrasound-assisted-extraction-of-phytochemicals-from-Eryngium-foetidum-leaves-using-response-surface-methodology",{"abstract":101,"title":103,"references":106,"doi":108},{"EN":102},"This study was intended to optimize ultrasound-assisted extraction conditions of the bioactive compounds present in Eryngium foetidum leaves using response surface methodology. Initially, four different solvents (acetone, methanol, ethanol and distilled water) were taken to extract the phytochemicals using ultrasound. Experimentally, acetone was found to be the best solvent for extracting the bioactive compounds because of higher recovery of phenolic compounds with the value of 20 mg GAE\u002Fg of sample in contrast to other solvent. The ranges of independent variables were selected on the basis of maximum phenolic content achieved. For optimization, Box–Behnken design with three independent variables, viz. extraction time of 5–15 min, ultrasound amplitude of 40–80% and solvent concentration of 40–80%, was selected. Three dependent variables, viz. total phenolic content, total flavonoids content and DPPH radical scavenging activity, were selected for the study. Quadratic model was found to be the best fit for all the responses. The optimized condition was extraction time of 12 min, amplitude of 61 % and solvent concentration of 80%, yielding the maximum yield of responses with the desirability value of 0.96. The results indicate that Eryngium foetidum leaves are potent source of phytochemicals.",{"EN":104,"VI":105},"Ultrasound-assisted extraction of phytochemicals from Eryngium foetidum leaves using response surface methodology","Chiết xuất phytochemical từ lá Eryngium foetidum có hỗ trợ của siêu âm bằng phương pháp bề mặt đáp ứng",{"VOID":107},"Morales-Payan JP, Stall WM (2019) (401) Broadleaf cilantro (Eryngium foetidum) growth as affected by selected organic biostimulants. HortScience 40:1062B. https:\u002F\u002Fdoi.org\u002F10.21273\u002Fhortsci.40.4.1062b\nSingh S, Singh DR, Banu S, Salim KM (2013) Determination of bioactives and antioxidant activity in Eryngium foetidum L.: a traditional culinary and medicinal herb. Proc Natl Acad Sci India Sect B - Biol Sci 83:453–460. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40011-012-0141-y\nManjunatha L, Kumar V, Sannabommaji T et al (2019) In vitro antioxidant and antidiabetic properties of Eryngium foetidum linn. Biomed 39:532–538. https:\u002F\u002Fdoi.org\u002F10.51248\u002F.v39i4.128\nRamcharan C (1999) Culantro: a much utilized, little understood herb. Perspectives on new crops and new uses, pp 506–509\nRodrigues TLM, Castro GLS, Viana RG et al (2020) Physiological performance and chemical compositions of the Eryngium foetidum L. (Apiaceae) essential oil cultivated with different fertilizer sources. Nat Prod Res 35:5544–5548. https:\u002F\u002Fdoi.org\u002F10.1080\u002F14786419.2020.1795653\nSaikia A, Shadeque A (1993) Nutritional-evaluation of underexploited leafy vegetables of Assam. Indian J Agri Sci 63:409–411\nPaul JHA, Seaforth CE, Tikasingh T (2011) Eryngium foetidum L.: a review. Fitoterapia 82:302–308\nLeitão DDSTC, Siqueira FC, de Sousa SHB et al (2020) Amazonian Eryngium foetidum leaves exhibited very high contents of bioactive compounds and high singlet oxygen quenching capacity. Int J Food Prop 23:1452–1464. https:\u002F\u002Fdoi.org\u002F10.1080\u002F10942912.2020.1811311\nGao Y, Shi Y, Miao N et al (2022) A green ultrasound-assisted enzymatic extraction method for efficient extraction of total polyphenols from Empetrum nigrum and determination of its bioactivities. J Ind Eng Chem 109:559–567. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jiec.2022.02.041\nTrojanowska A, Tsibranska I, Dzhonova D et al (2019) Ultrasound-assisted extraction of biologically active compounds and their successive concentration by using membrane processes. Chem Eng Res Des 147:378–389. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cherd.2019.05.018\nChen XQ, Li ZH, Wang ZJ et al (2020) Ultrasound-assisted extraction of total anthocyanins from Rubia sylvatica Nakai fruit and radical scavenging activity of the extract. Ind Crops Prod 150:112420. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.indcrop.2020.112420\nBelwal T, Dhyani P, Bhatt ID et al (2016) Optimization extraction conditions for improving phenolic content and antioxidant activity in Berberis asiatica fruits using response surface methodology (RSM). Food Chem 207:115–124. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2016.03.081\nSablania V, Bosco SJD, Bashir M (2019) Extraction process optimization of Murraya koenigii leaf extracts and antioxidant properties. J Food Sci Technol 56:5500–5508. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13197-019-04022-y\nYang L, Yin P, Fan H et al (2017) Response surface methodology optimization of ultrasonic-assisted extraction of Acer truncatum leaves for maximal phenolic yield and antioxidant activity. Molecules 22:1–20. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmolecules22020232\nDalukdeniya D, Rathnayaka R (2017) Comparative study on antibacterial and selected antioxidant activities of different Eryngium foetidum extracts. J Appl Life Sci Int 12:1–7. https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjalsi\u002F2017\u002F34378\nMekhora C, Muangnoi C, Chingsuwanrote P et al (2012) Eryngium foetidum suppresses inflammatory mediators produced by macrophages. Asian Pacific J Cancer Prev 13:653–664. https:\u002F\u002Fdoi.org\u002F10.7314\u002FAPJCP.2012.13.2.653\nDe Souza TCL, Da Silveira TFF, Rodrigues MI et al (2021) A study of the bioactive potential of seven neglected and underutilized leaves consumed in Brazil. Food Chem 364:130350. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2021.130350\nLeitão DDSTC, Barbosa-Carvalho APP, de Siqueira FC, Sousa RPE, Lopes AS, Chisté RC et al (2023) Extracts of Eryngium foetidum leaves from the Amazonia were efficient scavengers of ROS and RNS. Antioxidants 12:1112. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fantiox12051112\nThi NQN, An TNT, Nguyen OB et al (2020) Phytochemical content and antioxidant activity in aqueous and ethanolic extracts of Eryngium foetidum L. In: IOP Conference Series. Materials Science and Engineering\nRohilla S, Mahanta CL (2021) Optimization of extraction conditions for ultrasound-assisted extraction of phenolic compounds from tamarillo fruit (Solanum betaceum) using response surface methodology. J Food Meas Charact 15:1763–1773. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11694-020-00751-3\nSablania V, Bosco SJD, Rohilla S (2019) Effect of extraction temperature and different carrier agents on physicochemical and antioxidant properties of spray-dried Murraya koenigii (Linn.) leaf extract. Adv Plant Microb Biotechnol:85–93. https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-981-13-6321-4_12\nRohilla S, Mahanta CL (2022) Foam mat dried tamarillo powder: effect of foaming agents on drying kinetics, physicochemical and phytochemical properties. J Food Process Preserv 46:e17164. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fjfpp.17164\nRohilla S, Chutia H, Marboh V, Mahanta CL (2022) Ultrasound and supercritical fluid extraction of phytochemicals from purple tamarillo: optimization, comparison, kinetics, and thermodynamics studies. Appl Food Res 2:100210. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.afres.2022.100210\nSulaiman SF, Sajak AAB, Ooi KL et al (2011) Effect of solvents in extracting polyphenols and antioxidants of selected raw vegetables. J Food Compos Anal 24:506–515. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jfca.2011.01.020\nSaifullah M, McCullum R, McCluskey A, Vuong Q (2020) Comparison of conventional extraction technique with ultrasound assisted extraction on recovery of phenolic compounds from lemon scented tea tree (Leptospermum petersonii) leaves. Heliyon 6:e03666. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.heliyon.2020.e03666\nRifna EJ, Dwivedi M (2022) Effect of pulsed ultrasound assisted extraction and aqueous acetone mixture on total hydrolysable tannins from pomegranate peel. Food Biosci 45:101496. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.fbio.2021.101496\nGoltz C, Ávila S, Barbieri JB et al (2018) Ultrasound-assisted extraction of phenolic compounds from Macela (Achyrocline satureioides) extracts. Ind Crops Prod 115:227–234. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.indcrop.2018.02.013\nBenkerrou F, Bachir bey M, Amrane M, Louaileche H (2018) Ultrasonic-assisted extraction of total phenolic contents from Phoenix dactylifera and evaluation of antioxidant activity: statistical optimization of extraction process parameters. J Food Meas Charact 12:1910–1916. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11694-018-9805-5\nShui G, Leong LP (2006) Residue from star fruit as valuable source for functional food ingredients and antioxidant nutraceuticals. Food Chem 97:277–284. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2005.03.048\nOroian M, Ursachi F, Dranca F (2020) Influence of ultrasonic amplitude, temperature, time and solvent concentration on bioactive compounds extraction from propolis. Ultrason Sonochem 64:105021. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ultsonch.2020.105021\nSetyaningsih W, Saputro IE, Carrera CA, Palma M (2019) Optimisation of an ultrasound-assisted extraction method for the simultaneous determination of phenolics in rice grains. Food Chem 288:221–227. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2019.02.107\nRodsamran P, Sothornvit R (2019) Extraction of phenolic compounds from lime peel waste using ultrasonic-assisted and microwave-assisted extractions. Food Biosci 28:66–73. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.fbio.2019.01.017\nSablania V, Bosco SJD, Rohilla S, Shah MA (2018) Microencapsulation of Murraya koenigii L. leaf extract using spray drying. J Food Meas Charact 12:892–901. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11694-017-9704-1\nKadiri O, Gbadamosi SO, Akanbi CT (2019) Extraction kinetics, modelling and optimization of phenolic antioxidants from sweet potato peel vis-a-vis RSM, ANN-GA and application in functional noodles. J Food Meas Charact 13:3267–3284. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11694-019-00249-7",{"VOID":109},"10.1007\u002Fs13399-023-04784-8","PUBLICATION",[112],"VI","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs13399-023-04784-8",[115,140,153,167],{"id":116,"sortIndex":23,"researcher":22,"roles":117,"affiliations":119,"properties":137,"displayName":139,"givenName":22,"familyName":22},"408e95bc-d4f0-43c1-91fc-2e2d76b201f9",[118],"AUTHOR",[120,128],{"id":121,"sortIndex":23,"affiliation":122,"properties":22},"5ad068c3-55ac-4227-b254-a11c3f55a732",{"id":121,"createTime":22,"updateTime":22,"relativeEntities":123,"slug":22,"properties":124,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":127,"statistic":22},[],{"title":125},{"EN":126},"Department of Food Science and Technology, I. K. Gujral Punjab Technical University, Kapurthala, India",[],{"id":129,"sortIndex":85,"affiliation":130,"properties":136},"dd6ff2fb-ec51-4974-960a-8d1eb843c6b4",{"id":129,"createTime":22,"updateTime":22,"relativeEntities":131,"slug":22,"properties":132,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":135,"statistic":22},[],{"title":133},{"VI":134},"Department of Food Engineering and Technology, Tezpur University, Tezpur, India",[],{},{"title":138},{"VI":139},"Shubham Rohilla",{"id":141,"sortIndex":85,"researcher":22,"roles":142,"affiliations":143,"properties":150,"displayName":152,"givenName":22,"familyName":22},"228a1cc0-4235-4cf0-b5b0-923257e27ed6",[118],[144],{"id":121,"sortIndex":23,"affiliation":145,"properties":22},{"id":121,"createTime":22,"updateTime":22,"relativeEntities":146,"slug":22,"properties":147,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":149,"statistic":22},[],{"title":148},{"EN":126},[],{"title":151},{"VI":152},"Akriti Jaiswal",{"id":154,"sortIndex":155,"researcher":22,"roles":156,"affiliations":157,"properties":164,"displayName":166,"givenName":22,"familyName":22},"85ddb3fa-76c7-4eb2-bf9f-7717eba8ebf3",2,[118],[158],{"id":121,"sortIndex":23,"affiliation":159,"properties":22},{"id":121,"createTime":22,"updateTime":22,"relativeEntities":160,"slug":22,"properties":161,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":163,"statistic":22},[],{"title":162},{"EN":126},[],{"title":165},{"VI":166},"Barinderjit Singh",{"id":168,"sortIndex":169,"researcher":22,"roles":170,"affiliations":171,"properties":178,"displayName":180,"givenName":22,"familyName":22},"51d03733-d0d3-4c2e-b21b-90fc11f9b00e",3,[118],[172],{"id":129,"sortIndex":23,"affiliation":173,"properties":22},{"id":129,"createTime":22,"updateTime":22,"relativeEntities":174,"slug":22,"properties":175,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":177,"statistic":22},[],{"title":176},{"VI":134},[],{"title":179},{"VI":180},"Charu Lata Mahanta","ARTICLE",{"url":113,"publisher":183,"properties":225},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":184,"slug":10,"properties":185,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":189,"manageAffiliations":194,"indexDatabases":205,"url":22,"thumbnailPath":22,"statistic":220,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":186,"title":187,"eissn":188},{"VOID":15},{"EN":17},{"VOID":13},[190],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":191,"label":192,"description":193,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[195,200],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":196,"slug":22,"properties":197,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":199,"statistic":22},[],{"title":198},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":201,"slug":22,"properties":202,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":204,"statistic":22},[],{"title":203},{"EN":45},[39],[206,213],{"id":49,"indexDatabase":207,"url":60,"indexYears":61,"academicFieldIds":212,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":208,"label":209,"description":210,"key":57,"publicationTags":211,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":214,"url":79,"indexYears":22,"academicFieldIds":219,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":215,"label":216,"description":217,"key":75,"publicationTags":218,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":221,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":222,"totalCitation":23,"totalCitationByYear":223,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":224,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"pages":226},{"VOID":227},"1-8","2023-08-29",2023,[64,77],false,{"id":233,"createTime":234,"updateTime":235,"relativeEntities":236,"slug":237,"properties":238,"entityType":110,"verifyStatus":248,"verifyTime":249,"verifyNote":250,"languages":22,"translateLanguages":251,"viewCount":23,"primaryUrl":252,"fullTextUrl":253,"authors":254,"publicationType":181,"publisherRelationship":353,"citationCount":22,"citationInfo":22,"publishDate":22,"publishYear":22,"citationAnalyzeStatus":21,"lastCitationAnalyze":22,"indexDatabases":399,"openAccess":22,"references":22,"isForceReanalyzing":231},"67101d1c-1fb8-4f40-a700-4701482160e4","2024-01-27T15:25:08.196+00:00","2026-09-08T10:14:33.139+00:00",[],"Process-simulation-and-environmental-impact-assessment-of-different-cases-in-hydrothermal-catalytic-bio-jet-fuel-production",{"abstract":239,"title":241,"references":244,"doi":246},{"EN":240},"Considering the operation and environmental impact of HCJFP (hydrothermal catalytic jet fuel production) process system with corn stalk as raw material, it met the current demand for green energy and carbon neutralization. Therefore, this work aimed to establish an assessment system of available energy and environmental impact under the basic and optimization process through exergic analysis and life cycle assessment (LCA). The commercial simulation software (Aspen Plus for chemical production simulation and eBalance for LCA analysis) was used to model the production and optimization scheme of 2 t\u002Fday corn stalk HCJFP. Results showed that global warming was the main environmental impact of HCJFP, and gypsum produced in the process also needs attention. In the process of waste gas and residue combustion, different kinds of pollutants had a significant impact on the utilization of available energy and LCA results of the system, especially the direct combustion of lignin, which failed to be effectively utilized. Therefore, two lignin utilization methods were proposed for higher efficient energy utilization compared to the direct combustion of lignin in case 1. In case 2, lignin was gasified in high temperature by steam to obtain hydrogen, which was used in the hydrogenation process; Lignin in case 3 was depolymerized in liquid phase with hydrogen donor solvent ethanol, high temperature, and pressure to obtain hydrocarbon fuel. According to the optimization scheme and evaluation model, the result showed that although the additional lignin utilization unit increases the complexity of the process, the utilization of hydrogen production as a by-product in case 2 reduced the production cost and avoided the waste of high-quality available energy, while case 3 partially converted the carbon dioxide generated by combustion into carbon in liquid fuel, which was conducive to reducing the carbon emissions of the system.",{"EN":242,"VI":243},"Process simulation and environmental impact assessment of different cases in hydrothermal catalytic bio-jet fuel production","Mô phỏng quy trình và đánh giá tác động môi trường của các trường hợp khác nhau trong sản xuất nhiên liệu phản lực sinh học bằng xúc tác thủy nhiệt",{"VOID":245},"citation_journal_title=Environ Eng Manage J; citation_title=Carbon footprints associated with electricity generation from biomass syngas and diesel; citation_author=FM Melo, A Silvestre, M Carvalho; citation_volume=18; citation_issue=7; citation_publication_date=2019; citation_pages=1391-1397; citation_doi=10.30638\u002Feemj.2019.132; citation_id=CR1\ncitation_journal_title=J Cleaner Prod; citation_title=Energy, economic, and environmental assessment of the integrated production of palm oil biodiesel and sugarcane ethanol; citation_author=EAO Batlle, JCE Palacio, EES Lora, ED Bortoni, LAH Nogueira, GEC Caballero, AAV Julio, YC Escorcia; citation_volume=311; citation_publication_date=2021; citation_pages=127638; citation_doi=10.1016\u002Fj.jclepro.2021.127638; citation_id=CR2\ncitation_journal_title=J Cleaner Prod; citation_title=Comparison of energy performance and environmental impacts of three corn stover-based bioenergy pathways; citation_author=Y Yang, J-Q Ni, S Zhou, GH Xie; citation_volume=272; citation_publication_date=2020; citation_pages=122631; citation_doi=10.1016\u002Fj.jclepro.2020.122631; citation_id=CR3\ncitation_journal_title=Energy Convers Manage; citation_title=Renewable aviation fuel by advanced hydroprocessing of biomass: challenges and perspective; citation_author=ESK Why, HC Ong, HV Lee, YY Gan, W-H Chen, CT Chong; citation_volume=199; citation_publication_date=2019; citation_pages=112015; citation_doi=10.1016\u002Fj.enconman.2019.112015; citation_id=CR4\ncitation_journal_title=Renew Energ; citation_title=Solid waste biomass as a potential feedstock for producing sustainable aviation fuel: a systematic review; citation_author=E Emmanouilidou, S Mitkidou, A Agapiou, NC Kokkinos; citation_volume=206; citation_publication_date=2023; citation_pages=897-907; citation_doi=10.1016\u002Fj.renene.2023.02.113; citation_id=CR5\ncitation_journal_title=Fuel; citation_title=Environmental and economic issues for renewable production of bio-jet fuel: a global prospective; citation_author=R Tiwari, R Mishra, A Choubey, S Kumar, AE Atabani, IA Badruddin, TMY Khan; citation_volume=332; citation_publication_date=2023; citation_pages=125978; citation_doi=10.1016\u002Fj.fuel.2022.125978; citation_id=CR6\ncitation_journal_title=Front Chem; citation_title=Hydrolysis of hemicellulose and derivatives-a review of recent advances in the production of furfural; citation_author=F Delbecq, YT Wang, A Muralidhara, K Ouardi, G Marlair, C Len; citation_volume=6; citation_publication_date=2018; citation_pages=146; citation_doi=10.3389\u002Ffchem.2018.00146; citation_id=CR7\ncitation_journal_title=Ind Eng Chem Res; citation_title=Kinetic study on the acid-catalyzed hydrolysis of cellulose to levulinic acid; citation_author=B Girisuta, L Janssen, HJ Heeres; citation_volume=46; citation_issue=6; citation_publication_date=2007; citation_pages=1696-1708; citation_doi=10.1021\u002Fie061186z; citation_id=CR8\ncitation_journal_title=J Cleaner Prod; citation_title=Life cycle assessment of biorefinery technology producing activated carbon and levulinic acid; citation_author=J Chaparro-Garnica, M Guiton, D Salinas-Torres, E Morallón, E Benetto, D Cazorla-Amorós; citation_volume=380; citation_publication_date=2022; citation_pages=135098; citation_doi=10.1016\u002Fj.jclepro.2022.135098; citation_id=CR9\ncitation_journal_title=Fuel; citation_title=Catalytic production of long-chain hydrocarbons suitable for aviation turbine fuel from biomass-derived levulinic acid and furfural; citation_author=LG Chen, Y Liu, XH Zhang, JG Liu, Q Zhang, LL Ma; citation_volume=334; citation_publication_date=2023; citation_pages=126665; citation_doi=10.1016\u002Fj.fuel.2022.126665; citation_id=CR10\ncitation_journal_title=Renew Sustain Energy Rev; citation_title=Producing jet fuel from biomass lignin: potential pathways to alkyl benzenes and cycloalkanes; citation_author=F Cheng, CE Brewer; citation_volume=72; citation_publication_date=2017; citation_pages=673-722; citation_doi=10.1016\u002Fj.rser.2017.01.030; citation_id=CR11\ncitation_journal_title=Chem Soc Rev; citation_title=Catalytic self-transfer hydrogenolysis of lignin with endogenous hydrogen: road to the carbon-neutral future; citation_author=XJ Shen, CF Zhang, BX Han, F Wang; citation_volume=51; citation_issue=5; citation_publication_date=2022; citation_pages=1608-1628; citation_doi=10.1039\u002Fd1cs00908g; citation_id=CR12\ncitation_journal_title=Renew Sustain Energy Rev; citation_title=Liquid fuels, hydrogen and chemicals from lignin: a critical review; citation_author=P Azadi, OR Inderwildi, R Farnood, DA King; citation_volume=21; citation_publication_date=2013; citation_pages=506-523; citation_doi=10.1016\u002Fj.rser.2012.12.022; citation_id=CR13\ncitation_journal_title=Bioresour Technol; citation_title=Pilot study on production of aviation fuel from catalytic conversion of corn stover; citation_author=Y Liu, L Chen, Y Chen, X Zhang, J Liu, Q Liu, Y Li, C Wang, Q Zhang, L Ma; citation_volume=372; citation_publication_date=2023; citation_pages=128653-128653; citation_doi=10.1016\u002Fj.biortech.2023.128653; citation_id=CR14\ncitation_journal_title=Sci Total Environ; citation_title=Bio-oil and biochar from the pyrolytic conversion of biomass: a current and future perspective on the trade-off between economic, environmental, and technical indicators; citation_author=AK Vuppaladadiyam, SSV Vuppaladadiyam, A Sahoo, S Murugavelh, E Anthony, T Bhaskar, Y Zheng, M Zhao, H Duan, Y Zhao, E Antunes, AK Sarmah, S-Y Leu; citation_volume=857; citation_publication_date=2023; citation_pages=159155; citation_doi=10.1016\u002Fj.scitotenv.2022.159155; citation_id=CR15\ncitation_journal_title=J Cleaner Prod; citation_title=Environmental impacts of dry anaerobic biorefineries in a life cycle assessment (LCA) approach; citation_author=E Rossi, F Pasciucco, R Iannelli, I Pecorini; citation_volume=371; citation_publication_date=2022; citation_pages=133692; citation_doi=10.1016\u002Fj.jclepro.2022.133692; citation_id=CR16\ncitation_journal_title=J Cleaner Prod; citation_title=Process design, modeling and life cycle analysis of energy consumption and GHG emission for jet fuel production from bioethanol in China; citation_author=X Wang, L Guo, J Lv, M Li, S Huang, Y Wang, X Ma; citation_volume=389; citation_publication_date=2023; citation_pages=136027; citation_doi=10.1016\u002Fj.jclepro.2023.136027; citation_id=CR17\ncitation_journal_title=Int J Hydrogen Energy; citation_title=Gasification process of palm kernel shell to fuel gas: pilot-scale experiment and life cycle analysis; citation_author=SH Pranolo, J Waluyo, FA Putro, MA Adnan, MG Kibria; citation_volume=48; citation_issue=7; citation_publication_date=2023; citation_pages=2835-2848; citation_doi=10.1016\u002Fj.ijhydene.2022.10.066; citation_id=CR18\ncitation_journal_title=Biomass Convers Biorefin; citation_title=Greenhouse gas assessment of palm oil mill biorefinery in Thailand from a life cycle perspective; citation_author=G Beaudry, C Macklin, E Roknich, L Sears, M Wiener, SH Gheewala; citation_volume=8; citation_issue=1; citation_publication_date=2018; citation_pages=43-58; citation_doi=10.1007\u002Fs13399-016-0233-7; citation_id=CR19\ncitation_journal_title=Energy; citation_title=Comparative energy and environmental analysis of different small-scale biomass-fueled CCHP systems; citation_author=S RajabiHamedani, M Villarini, V Marcantonio, U Matteo, D Monarca, A Colantoni; citation_volume=263; citation_publication_date=2023; citation_pages=125846; citation_doi=10.1016\u002Fj.energy.2022.125846; citation_id=CR20\ncitation_journal_title=Energy Convers Manage; citation_title=Evaluating the environmental impacts of the multi-feedstock biodiesel production process in Indonesia using life cycle assessment (LCA); citation_author=Y Wahyono, H Hadiyanto, SH Gheewala, MA Budihardjo, JS Adiansyah; citation_volume=266; citation_publication_date=2022; citation_pages=115832; citation_doi=10.1016\u002Fj.enconman.2022.115832; citation_id=CR21\ncitation_journal_title=Bioresour Technol; citation_title=Pilot-scale data provide enhanced estimates of the life cycle energy and emissions profile of algae biofuels produced via hydrothermal liquefaction; citation_author=X Liu, B Saydah, P Eranki, LM Colosi, B Greg Mitchell, J Rhodes, AF Clarens; citation_volume=148; citation_publication_date=2013; citation_pages=163-171; citation_doi=10.1016\u002Fj.biortech.2013.08.112; citation_id=CR22\ncitation_journal_title=Energy Convers Manage: X; citation_title=Economic and environmental analysis of algal biorefinery for the production of renewable fuels and co-product; citation_author=JS Saral, AR Satheesh, P Ranganathan; citation_volume=14; citation_publication_date=2022; citation_pages=100189; citation_doi=10.1016\u002Fj.ecmx.2022.100189; citation_id=CR23\ncitation_journal_title=Renew Energ; citation_title=Life cycle assessment of the biofuel production from lignocellulosic biomass in a hydrothermal liquefaction – aqueous phase reforming integrated biorefinery; citation_author=G Zoppi, E Tito, I Bianco, G Pipitone, R Pirone, S Bensaid; citation_volume=206; citation_publication_date=2023; citation_pages=375-385; citation_doi=10.1016\u002Fj.renene.2023.02.011; citation_id=CR24\ncitation_journal_title=Energy; citation_title=Life cycle assessment of the Fischer-Tropsch biofuels production by supercritical water reforming of the bio-oil aqueous phase; citation_author=FJ Gutiérrez Ortiz, B Alonso-Fariñas, FJ Campanario, A Kruse; citation_volume=210; citation_publication_date=2020; citation_pages=118648; citation_doi=10.1016\u002Fj.energy.2020.118648; citation_id=CR25\ncitation_journal_title=Case Stud Therm Eng; citation_title=Energy and exergy analysis of bio-jet fuel production from lignocellulosic biomass via aqueous conversion; citation_author=J Hao, J Xiao, G Song, Q Zhang; citation_volume=26; citation_publication_date=2021; citation_pages=101006; citation_doi=10.1016\u002Fj.csite.2021.101006; citation_id=CR26\ncitation_journal_title=Appl Energy; citation_title=Production of bio-jet fuel from corncob by hydrothermal decomposition and catalytic hydrogenation: lab analysis of process and techno-economics of a pilot-scale facility; citation_author=Y Li, C Zhao, L Chen, X Zhang, Q Zhang, T Wang, S Qiu, J Tan, K Li, C Wang, L Ma; citation_volume=227; citation_publication_date=2018; citation_pages=128-136; citation_doi=10.1016\u002Fj.apenergy.2017.07.133; citation_id=CR27\ncitation_journal_title=Int J Energy Res; citation_title=Energy and exergy analysis of the preheating of combustion reactants; citation_author=J Szargut; citation_volume=12; citation_issue=1; citation_publication_date=1988; citation_pages=45-58; citation_doi=10.1002\u002Fer.4440120106; citation_id=CR28\ncitation_journal_title=Renew Sustain Energy Rev; citation_title=Exergoenvironmental analysis of bioenergy systems: a comprehensive review; citation_author=A Mortaza, Z Khounani, H Hosseinzadeh-Bandbafha, VK Gupta, H Amiri, SS Lam, T Morosuk, M Tabatabaei; citation_volume=149; citation_publication_date=2021; citation_pages=111399; citation_doi=10.1016\u002Fj.rser.2021.111399; citation_id=CR29\ncitation_journal_title=Bioresour Technol; citation_title=Bioprocessing of waste biomass for sustainable product development and minimizing environmental impact; citation_author=Z Usmani, M Sharma, AK Awasthi, N Sivakumar, T Lukk, L Pecoraro, VK Thakur, D Roberts, J Newbold, VK Gupta; citation_volume=322; citation_publication_date=2021; citation_pages=124548; citation_doi=10.1016\u002Fj.biortech.2020.124548; citation_id=CR30\nSun HR, Luo ZY, Li SM, Xue S, Zhou QG, Wei TY, Du LW (2021) Comparative life cycle assessment (LCA) of biofuel production via corn stover: fermentation to ethanol, pyrolysis to bio-oil, and gasification to jet fuel. Biomass Convers Biorefin. \n                https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13399-021-02054-z\n                \n              \nLiu YB, Zhu ZY, Zhang R, Zhao XB (2022) Life cycle assessment and life cycle cost analysis of Jatropha biodiesel production in China. Biomass Convers Biorefin. \n                https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13399-022-03614-7\n                \n              \ncitation_journal_title=Proc R Soc A; citation_title=Environmental sustainability of biofuels: a review; citation_author=HK Jeswani, A Chilvers, A Azapagic; citation_volume=476; citation_issue=2243; citation_publication_date=2020; citation_pages=20200351; citation_doi=10.1098\u002Frspa.2020.0351; citation_id=CR33\ncitation_journal_title=Renew Sustain Energy Rev; citation_title=Life cycle assessment (LCA) of electricity generation technologies: overview, comparability and limitations; citation_author=R Turconi, A Boldrin, T Astrup; citation_volume=28; citation_publication_date=2013; citation_pages=555-565; citation_doi=10.1016\u002Fj.rser.2013.08.013; citation_id=CR34\nZheng X, Zhong ZP, Zhang B, Du HR, Wang W, Li Q, Yang YX, Qi RZ, Li ZY (2023) Techno-economic analysis and life cycle assessment of hydrogenation upgrading and supercritical ethanol upgrading processes based on fast pyrolysis of cornstalk for biofuel. Biomass Convers Biorefin. \n                https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13399-023-04096-x\n                \n              \ncitation_journal_title=Green Chem Eng; citation_title=Application and progress of techno-economic analysis and life cycle assessment in biomanufacturing of fuels and chemicals; citation_author=R Fu, L Kang, C Zhang, Q Fei; citation_volume=4; citation_issue=2; citation_publication_date=2023; citation_pages=189-198; citation_doi=10.1016\u002Fj.gce.2022.09.002; citation_id=CR36\ncitation_journal_title=ACS Sustain Chem Eng; citation_title=Life cycle assessment and technoeconomic analysis of thermochemical conversion technologies applied to poultry litter with energy and nutrient recovery; citation_author=RR Bora, M Lei, JW Tester, J Lehmann, FQ You; citation_volume=8; citation_issue=22; citation_publication_date=2020; citation_pages=8436-8447; citation_doi=10.1021\u002Facssuschemeng.0c02860; citation_id=CR37\ncitation_title=Simulation and the Monte Carlo method; citation_publication_date=2016; citation_id=CR38; citation_author=RYK Rubinstein; citation_author=DP Kroese; citation_publisher=Wiley\ncitation_journal_title=Sci Total Environ; citation_title=Quantifying and reducing uncertainty in life cycle assessment using the Bayesian Monte Carlo method; citation_author=SC Lo, HW Ma, SL Lo; citation_volume=340; citation_issue=1–3; citation_publication_date=2005; citation_pages=23-33; citation_doi=10.1016\u002Fj.scitotenv.2004.08.020; citation_id=CR39\ncitation_journal_title=Sustainability; citation_title=Uncertainty analysis for data-driven chance-constrained optimization; citation_author=BH Lowgren, J Weigert, E Esche, JU Repke; citation_volume=12; citation_issue=6; citation_publication_date=2020; citation_pages=2450; citation_doi=10.3390\u002Fsu12062450; citation_id=CR40\ncitation_journal_title=Appl Energy; citation_title=Aviation fuel synthesis by catalytic conversion of biomass hydrolysate in aqueous phase; citation_author=T Wang, K Li, Q Liu, Q Zhang, S Qiu, J Long, L Chen, L Ma, Q Zhang; citation_volume=136; citation_publication_date=2014; citation_pages=775-780; citation_doi=10.1016\u002Fj.apenergy.2014.06.035; citation_id=CR41\ncitation_journal_title=Environ Dev; citation_title=Life cycle assessment (LCA) in the olive oil value chain: a descriptive review; citation_author=L Joumri, N Labjar, M Dalimi, S Harti, D Dhiba, N Messaoudi, S Bonnefille, S Hajjaji; citation_volume=45; citation_publication_date=2023; citation_pages=100800; citation_doi=10.1016\u002Fj.envdev.2022.100800; citation_id=CR42\ncitation_journal_title=Biomass Bioenergy; citation_title=Advances in hexitol and ethylene glycol production by one-pot hydrolytic hydrogenation and hydrogenolysis of cellulose; citation_author=Y Li, Y Liao, X Cao, T Wang, L Ma, J Long, Q Liu, Y Xua; citation_volume=74; citation_publication_date=2015; citation_pages=148-161; citation_doi=10.1016\u002Fj.biombioe.2014.12.025; citation_id=CR43\ncitation_journal_title=Int J Hydrogen Energy; citation_title=Hydrogen production from agricultural biomass wastes gasification in a fluidized bed with calcium oxide enhancing; citation_author=B Li, H Yang, L Wei, J Shao, X Wang, H Chen; citation_volume=42; citation_issue=8; citation_publication_date=2017; citation_pages=4832-4839; citation_doi=10.1016\u002Fj.ijhydene.2017.01.138; citation_id=CR44\ncitation_journal_title=Int J Hydrogen Energy; citation_title=Absorption-enhanced steam gasification of biomass for hydrogen production: effects of calcium-based absorbents and NiO-based catalysts on corn stalk pyrolysis-gasification; citation_author=B Li, H Yang, L Wei, J Shao, X Wang, H Chen; citation_volume=42; citation_issue=9; citation_publication_date=2017; citation_pages=5840-5848; citation_doi=10.1016\u002Fj.ijhydene.2016.12.031; citation_id=CR45\ncitation_journal_title=Bioresour Technol; citation_title=Catalytic depolymerization of the hydrolyzed lignin over mesoporous catalysts; citation_author=PR Chen, Q Zhang, RY Shu, Y Xu, LL Ma, TJ Wang; citation_volume=226; citation_publication_date=2017; citation_pages=125-131; citation_doi=10.1016\u002Fj.biortech.2016.12.030; citation_id=CR46\ncitation_journal_title=Bioresour Technol; citation_title=Combustion of hydrolysis lignin in a drop tube furnace and subsequent gaseous and particulate emissions; citation_author=C Schonnenbeck, P Maryandyshev, G Trouve, A Brillard, V Lyubov, JF Brilhac; citation_volume=288; citation_publication_date=2019; citation_pages=121498; citation_doi=10.1016\u002Fj.biortech.2019.121498; citation_id=CR47\ncitation_journal_title=Korean J Chem Eng; citation_title=Catalytic effects of potassium on lignin steam gasification with gamma-Al2O3 as a bed material; citation_author=P Kuchonthara, T Vitidsant, A Tsutsumi; citation_volume=25; citation_issue=4; citation_publication_date=2008; citation_pages=656-662; citation_doi=10.1007\u002Fs11814-008-0108-0; citation_id=CR48\ncitation_journal_title=Energy Fuels; citation_title=Catalytic alcoholysis of lignin with HY and ZSM-5 zeolite catalysts; citation_author=WT Liao, X Wang, L Li, D Fan, ZY Wang, YQ Chen, Y Li, XA Xie; citation_volume=34; citation_issue=1; citation_publication_date=2020; citation_pages=599-606; citation_doi=10.1021\u002Facs.energyfuels.9b03729; citation_id=CR49\ncitation_journal_title=Energy; citation_title=Life cycle assessment of bioenergy from lignocellulosic herbaceous biomass: the case study of Spartina argentinensis; citation_author=E Jozami, FD Mele, R Piastrellini, BM Civit, SR Feldman; citation_volume=254; citation_publication_date=2022; citation_pages=124215; citation_doi=10.1016\u002Fj.energy.2022.124215; citation_id=CR50\ncitation_title=China statistical yearbook 2019; citation_publication_date=2019; citation_id=CR51; citation_publisher=China Statistics Press\ncitation_journal_title=Resour, Conserv Recycl; citation_title=Life cycle inventory and emissions modelling in organic field crop LCA studies: review and recommendations; citation_author=N Bamber, R Johnson, E Laage, G Dias, P Tyedmers, N Pelletier; citation_volume=185; citation_publication_date=2022; citation_pages=106465; citation_doi=10.1016\u002Fj.resconrec.2022.106465; citation_id=CR52",{"VOID":247},"10.1007\u002Fs13399-023-04403-6","VERIFIED","2025-02-03T07:06:16.467+00:00","Auto Verify",[112],"https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13399-023-04403-6","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs13399-023-04403-6.pdf",[255,270,283,298,311,325,339],{"id":256,"sortIndex":23,"researcher":22,"roles":257,"affiliations":258,"properties":267,"displayName":269,"givenName":22,"familyName":22},"8c8d54ab-9567-4603-a7de-b3694e60437c",[118],[259],{"id":260,"sortIndex":23,"affiliation":261,"properties":22},"6075b1f2-ca27-417b-81e4-43378225ee3c",{"id":260,"createTime":22,"updateTime":22,"relativeEntities":262,"slug":22,"properties":263,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":266,"statistic":22},[],{"title":264},{"VI":265},"Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing, China",[],{"title":268},{"VI":269},"Wang, Wei",{"id":271,"sortIndex":85,"researcher":22,"roles":272,"affiliations":273,"properties":280,"displayName":282,"givenName":22,"familyName":22},"c01510ba-b6ba-485b-b486-6cd5cf5b5d50",[118],[274],{"id":260,"sortIndex":23,"affiliation":275,"properties":22},{"id":260,"createTime":22,"updateTime":22,"relativeEntities":276,"slug":22,"properties":277,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":279,"statistic":22},[],{"title":278},{"VI":265},[],{"title":281},{"VI":282},"Zhong, Zhaoping",{"id":284,"sortIndex":155,"researcher":22,"roles":285,"affiliations":286,"properties":295,"displayName":297,"givenName":22,"familyName":22},"10eb11d7-d6e2-4f90-8caf-6f5c6c51be26",[118],[287],{"id":288,"sortIndex":23,"affiliation":289,"properties":22},"756fbb7d-26af-4c85-8810-07d4e8c1616d",{"id":288,"createTime":22,"updateTime":22,"relativeEntities":290,"slug":22,"properties":291,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":294,"statistic":22},[],{"title":292},{"VI":293},"CAS Key Laboratory of Renewable Energy, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou, China",[],{"title":296},{"VI":297},"Liu, Qiying",{"id":299,"sortIndex":169,"researcher":22,"roles":300,"affiliations":301,"properties":308,"displayName":310,"givenName":22,"familyName":22},"f8416aa2-9c33-4c44-a97e-fcaba3729b73",[118],[302],{"id":260,"sortIndex":23,"affiliation":303,"properties":22},{"id":260,"createTime":22,"updateTime":22,"relativeEntities":304,"slug":22,"properties":305,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":307,"statistic":22},[],{"title":306},{"VI":265},[],{"title":309},{"VI":310},"Xiang, Zheng",{"id":312,"sortIndex":313,"researcher":22,"roles":314,"affiliations":315,"properties":322,"displayName":324,"givenName":22,"familyName":22},"c7579e75-ee2c-45f7-a62c-ec71d8014da1",4,[118],[316],{"id":260,"sortIndex":23,"affiliation":317,"properties":22},{"id":260,"createTime":22,"updateTime":22,"relativeEntities":318,"slug":22,"properties":319,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":321,"statistic":22},[],{"title":320},{"VI":265},[],{"title":323},{"VI":324},"Yang, Yuxuan",{"id":326,"sortIndex":327,"researcher":22,"roles":328,"affiliations":329,"properties":336,"displayName":338,"givenName":22,"familyName":22},"f425e1c8-2471-4e0c-bf1b-57936aa7845d",5,[118],[330],{"id":260,"sortIndex":23,"affiliation":331,"properties":22},{"id":260,"createTime":22,"updateTime":22,"relativeEntities":332,"slug":22,"properties":333,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":335,"statistic":22},[],{"title":334},{"VI":265},[],{"title":337},{"VI":338},"Pan, Xiaotian",{"id":340,"sortIndex":341,"researcher":22,"roles":342,"affiliations":343,"properties":350,"displayName":352,"givenName":22,"familyName":22},"f6559b6a-8438-4edd-92d6-c2df6bb81789",6,[118],[344],{"id":260,"sortIndex":23,"affiliation":345,"properties":22},{"id":260,"createTime":22,"updateTime":22,"relativeEntities":346,"slug":22,"properties":347,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":349,"statistic":22},[],{"title":348},{"VI":265},[],{"title":351},{"VI":352},"Shen, Zhaocheng",{"url":252,"publisher":354,"properties":396},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":355,"slug":10,"properties":356,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":360,"manageAffiliations":365,"indexDatabases":376,"url":22,"thumbnailPath":22,"statistic":391,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":357,"title":358,"eissn":359},{"VOID":15},{"EN":17},{"VOID":13},[361],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":362,"label":363,"description":364,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[366,371],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":367,"slug":22,"properties":368,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":370,"statistic":22},[],{"title":369},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":372,"slug":22,"properties":373,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":375,"statistic":22},[],{"title":374},{"EN":45},[39],[377,384],{"id":49,"indexDatabase":378,"url":60,"indexYears":61,"academicFieldIds":383,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":379,"label":380,"description":381,"key":57,"publicationTags":382,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":385,"url":79,"indexYears":22,"academicFieldIds":390,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":386,"label":387,"description":388,"key":75,"publicationTags":389,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":392,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":393,"totalCitation":23,"totalCitationByYear":394,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":395,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"pages":397},{"VOID":398},"1-16",[],{"id":401,"createTime":402,"updateTime":403,"relativeEntities":404,"slug":405,"properties":406,"entityType":110,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":416,"viewCount":23,"primaryUrl":417,"fullTextUrl":22,"authors":418,"publicationType":181,"publisherRelationship":501,"citationCount":22,"citationInfo":22,"publishDate":547,"publishYear":229,"citationAnalyzeStatus":21,"lastCitationAnalyze":22,"indexDatabases":548,"openAccess":22,"references":22,"isForceReanalyzing":231},"5adf9971-9bc5-4bdf-bf65-f1f15ce2acf5","2024-01-09T11:16:00.395+00:00","2026-09-08T05:11:46.362+00:00",[],"Experimental-investigation-of-mechanical-and-physical-properties-of-coconut-shell-and-eggshell-filler-based-bio-fiber-reinforced-epoxy-hybrid-composites",{"abstract":407,"title":409,"references":412,"doi":414},{"EN":408},"Synthetic plastic pollution has focussed the attention of material scientist and researchers towards the development of non-toxic biodegradable composite materials. To develop bio-composites, sustainable products and materials should be encouraged with involvement of non-toxic raw materials. Exploration of bio-composites development imparts the attention of researchers towards nature-based resources. This study gives a brief role of natural fibers, animal and plant wastages, and polymer to develop composite materials. In this study, fabrication of bio-composites was done by the reinforcement of ramie and kenaf fibers with eggshell and coconut shell powders with epoxy polymer matrix using hand lay-up technique. Present research includes moisture uptake capacity, density and surface roughness measurement, and mechanical characterization of developed composite specimens. Kenaf\u002Fcoconut shell powder\u002Fepoxy composite absorbed more water than other developed specimens. Similarly, kenaf reinforced nanocomposite has slightly higher surface roughness than ramie reinforced nanocomposite with eggshell and coconut shell powders. Ramie\u002Fepoxy\u002Fcoconut shell had the highest tensile strength of 42.3 MPa. Kenaf\u002Fepoxy\u002Fcoconut shell achieved the highest tensile modulus of 1.97 MPa, and kenaf\u002Fepoxy\u002Feggshell had highest elongation at break of 3.6% as compared to all other developed specimens. Flexural strength was highest for ramie\u002Fepoxy\u002Fcoconut shell at 30.5 MPa. Impact strength was also highest for ramie\u002Fepoxy\u002Fcoconut shell at 8.9 kJ\u002Fm2. From the SEM analysis, it was found that kenaf fiber reinforced specimens are more damaged when compared to ramie fiber reinforced specimens due to rough surface and better wettability of ramie fiber which provided better interfacial adhesion between fiber and matrix phase hence. Thus, it was observed that ramie fiber reinforced with coconut shell and eggshell powder achieved better performance during mechanical analysis.",{"EN":410,"VI":411},"Experimental investigation of mechanical and physical properties of coconut shell and eggshell filler-based bio-fiber reinforced epoxy hybrid composites","Nghiên cứu thực nghiệm các tính chất cơ lý của vật liệu compozit lai epoxy gia cường sợi sinh học chứa chất độn vỏ gáo dừa và vỏ trứng",{"VOID":413},"Alemdar A, Sain M (2008) Biocomposites from wheat straw nanofibers: morphology, thermal and mechanical properties. Compos Sci Technol 68(2):557–565. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.COMPSCITECH.2007.05.044\nChichane A, Boujmal R, El Barkany A (2023) Bio-composites and bio-hybrid composites reinforced with natural fibers: review. Mater Today Proc 72:3471–3479. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.MATPR.2022.08.132\nRadhakrishnan S, Das PP, Chaudhary V (2022) Deciphering the pathways for evaluation of nanofillers for polymer composites: biodegradability, sustainability, and emerging applications. Biomass Convers Biorefin 2022:1–32. https:\u002F\u002Fdoi.org\u002F10.1007\u002FS13399-022-03548-0\nChaudhary V, Ahmad F (2020) A review on plant fiber reinforced thermoset polymers for structural and frictional composites. Polym Test 91. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.polymertesting.2020.106792\nVinod A, Sanjay MR, Suchart S, Jyotishkumar P (2020) Renewable and sustainable biobased materials: an assessment on biofibers, biofilms, biopolymers and biocomposites. J Clean Prod 258:120978. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.JCLEPRO.2020.120978\nDas PP, Chaudhary V, Ahmad F, Manral A (2021) Effect of nanotoxicity and enhancement in performance of polymer composites using nanofillers: a state-of-the-art review. Polym Compos 42(5) John Wiley and Sons Inc:2152–2170. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fpc.25968\nFortunati E, Peltzer M, Armentano I, Torre L, Jiménez A, Kenny JM (2012) Effects of modified cellulose nanocrystals on the barrier and migration properties of PLA nano-biocomposites. Carbohydr Polym 90(2):948–956. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.CARBPOL.2012.06.025\nKrishna JS, Chaudhary V, Mehta J, Malhotra P, Gupta S, Gupta P (2022) Synergistic reinforcement of nanofillers in biocomposites developed by additive manufacturing techniques. Biomass Convers Biorefin:1–16. https:\u002F\u002Fdoi.org\u002F10.1007\u002FS13399-022-03395-Z\u002FMETRICS\nNagalakshmaiah M et al (2019) Biocomposites: present trends and challenges for the future. Green Compos Automot Appl:197–215. https:\u002F\u002Fdoi.org\u002F10.1016\u002FB978-0-08-102177-4.00009-4\nRadhakrishnan S et al (2023) Studies on mechanical, thermal, and water immersion of plant and animal wastage nanofiller–based bio-fiber-reinforced composites. Biomass Convers Biorefin 2023:1–22. https:\u002F\u002Fdoi.org\u002F10.1007\u002FS13399-023-04788-4\nRidho MR et al (2022) Lignin as green filler in polymer composites: development methods, characteristics, and potential applications. Adv Mater Sci Eng 2022. https:\u002F\u002Fdoi.org\u002F10.1155\u002F2022\u002F1363481\nDas PP, Chaudhary V, Ahmad F, Manral A, Gupta S, Gupta P (2022) Acoustic performance of natural fiber reinforced polymer composites: influencing factors, future scope, challenges, and applications. Polym Compos 43(3):1221–1237. https:\u002F\u002Fdoi.org\u002F10.1002\u002FPC.26455\nHolbery J, Houston D (2006) Natural-fiber-reinforced polymer composites in automotive applications. JOM 58(11):80–86. https:\u002F\u002Fdoi.org\u002F10.1007\u002FS11837-006-0234-2\u002FMETRICS\nMoudood A, Rahman A, Khanlou HM, Hall W, Öchsner A, Francucci G (2019) Environmental effects on the durability and the mechanical performance of flax fiber\u002Fbio-epoxy composites. Compos B Eng 171:284–293. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.COMPOSITESB.2019.05.032\nNatrayan L, Merneedi A, Bharathiraja G, Kaliappan S, Veeman D, Murugan P (2021) Processing and characterization of carbon nanofibre composites for automotive applications. https:\u002F\u002Fdoi.org\u002F10.1155\u002F2021\u002F7323885\nSuhaily M, Che Hassan CH, Jaharah AG, Afifah MA, Nor Khairusshima MK (2018) Analysis and modeling of delamination factor in drilling of woven kenaf fiber reinforced epoxy using Box Behnken experimental design. IOP Conf Ser Mater Sci Eng 290(1). https:\u002F\u002Fdoi.org\u002F10.1088\u002F1757-899X\u002F290\u002F1\u002F012033\nHe L, Xia F, Wang Y, Yuan J, Chen D, Zheng J (2021) Mechanical and dynamic mechanical properties of the amino silicone oil emulsion modified ramie fiber reinforced composites. Polymers (Basel) 13(23). https:\u002F\u002Fdoi.org\u002F10.3390\u002FPOLYM13234083\nJha MK, Das PP, Pandey V, Gupta P, Chaudhary V, Gupta S (2022) Water immersion aging of polymer composites: architectural change of reinforcement, mechanical, and morphological analysis. Biomass Conv Bioref. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13399-022-03622-7\nChaudhary V, Bajpai PK, Maheshwari S (2020) Effect of moisture absorption on the mechanical performance of natural fiber reinforced woven hybrid bio-composites. J Nat Fibers 17(1):84–100. https:\u002F\u002Fdoi.org\u002F10.1080\u002F15440478.2018.1469451\nChaudhary V, Sahu R, Manral A, Ahmad F (2020) Comparative study of mechanical properties of dry and water aged jute\u002Fflax\u002Fepoxy hybrid composite. Mater Today Proc 25:857–861. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.MATPR.2019.11.053\nRadhakrishnan S, Chaudhary V, Das PP, Sharma B, Sharma R (2023) Deterioration of polymer composites after water ageing of chemically treated and untreated biomass. Biomass Convers Biorefin 2023:1–32. https:\u002F\u002Fdoi.org\u002F10.1007\u002FS13399-023-04086-Z\nChaudhary V, Bajpai PK, Maheshwari S (2017) Studies on mechanical and morphological characterization of developed jute\u002Fhemp\u002Fflax reinforced hybrid composites for structural applications. J Natur Fibers 15(1):80–97. https:\u002F\u002Fdoi.org\u002F10.1080\u002F15440478.2017.1320260\nDjafar Z, Renreng I, Jannah M (2020) Tensile and bending strength analysis of ramie fiber and woven ramie reinforced epoxy composite. J Natur Fibers 18(12):2315–2326. https:\u002F\u002Fdoi.org\u002F10.1080\u002F15440478.2020.1726242\nSapiai N, Jumahat A, Jawaid M, Midani M, Khan A (2020) Tensile and flexural properties of silica nanoparticles modified unidirectional kenaf and hybrid glass\u002Fkenaf epoxy composites. Polymers 12(11):2733. https:\u002F\u002Fdoi.org\u002F10.3390\u002FPOLYM12112733\nSyafri E et al (2018) Synthesis and characterization of cellulose nanofibers (CNF) ramie reinforced cassava starch hybrid composites. Int J Biol Macromol 120:578–586. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.IJBIOMAC.2018.08.134\nAbd El-baky MA, Attia MA, Abdelhaleem MM, Hassan MA (2020) Mechanical characterization of hybrid composites based on flax, basalt and glass fibers. J Compos Mater 54(27):4185–4205. https:\u002F\u002Fdoi.org\u002F10.1177\u002F0021998320928509\nZainol I, Asyraf MRM (2018) Preparation and characterisation of epoxy\u002Fsilica\u002Fkenaf composite using hand lay-up method. Safety and Health of Biocomposites View project natural hydroxyapatite and collagen for wound dressing View project. [Online]. Available: https:\u002F\u002Fwww.researchgate.net\u002Fpublication\u002F331927907. Accessed 8 Aug 2023\nKumar R, Anand A (2019) Fabrication and mechanical characterization of Indian ramie reinforced polymer composites. Mater Res Express 6(5):055303. https:\u002F\u002Fdoi.org\u002F10.1088\u002F2053-1591\u002FAAFF12\nSosiati H, Firmansyah F, Rahman MBN (2022) The role of silica in improving the properties of kenaf\u002Fsilica\u002Fepoxy hybrid composites. AIP Conf Proc 2499(1). https:\u002F\u002Fdoi.org\u002F10.1063\u002F5.0104978\u002F2827119\nThiyagu C, NarendraKumar U (2023) Effect of ammonium polyphosphate on fire-retardant, mechanical, and vibrational analysis of epoxy\u002Fglass\u002Framie hybrid composite. Polym Compos 44(1):621–631. https:\u002F\u002Fdoi.org\u002F10.1002\u002FPC.27123\nWang H, Memon H, Hassan EAM, Miah MS, Ali MA (2019) Effect of jute fiber modification on mechanical properties of jute fiber composite. Materials 12(8):1226. https:\u002F\u002Fdoi.org\u002F10.3390\u002FMA12081226\nBoopalan M, Niranjanaa M, Umapathy MJ (2013) Study on the mechanical properties and thermal properties of jute and banana fiber reinforced epoxy hybrid composites. Compos B Eng 51:54–57. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.COMPOSITESB.2013.02.033\nVerma D, Goh KL (2021) Effect of mercerization\u002Falkali surface treatment of natural fibres and their utilization in polymer composites: mechanical and morphological studies. J Compos Sci 5(7):175. https:\u002F\u002Fdoi.org\u002F10.3390\u002FJCS5070175\nRamasubbu R, Madasamy S (2020) Fabrication of automobile component using hybrid natural fiber reinforced polymer composite. J Natur Fibers 19(2):736–746. https:\u002F\u002Fdoi.org\u002F10.1080\u002F15440478.2020.1761927\nAsumani O, Paskaramoorthy R (2020) Fatigue and impact strengths of Kenaf fibre reinforced polypropylene composites: effects of fibre treatments. Adv Compos Mater 30(2):103–115. https:\u002F\u002Fdoi.org\u002F10.1080\u002F09243046.2020.1733308\nYahaya R, Sapuan SM, Jawaid M, Leman Z, Zainudin ES (2016) Water absorption behaviour and impact strength of Kenaf-Kevlar reinforced epoxy hybrid composites. Adv Compos Lett 25(4):98–102. https:\u002F\u002Fdoi.org\u002F10.1177\u002F096369351602500403\u002FASSET\u002FIMAGES\u002FLARGE\u002F10.1177_096369351602500403-FIG3.JPEG\nYu T, Jiang N, Li Y (2014) Study on short ramie fiber\u002Fpoly(lactic acid) composites compatibilized by maleic anhydride. Compos Part A Appl Sci Manuf 64:139–146. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.COMPOSITESA.2014.05.008\nChoi HY, Lee JS (2012) Effects of surface treatment of ramie fibers in a ramie\u002Fpoly(lactic acid) composite. Fibers Polym 13(2):217–223. https:\u002F\u002Fdoi.org\u002F10.1007\u002FS12221-012-0217-6\nMahapatra SK, Satapathy A (2023) Development and characterization of titanium oxide filled ramie fiber based hybrid composites. Polym Compos. https:\u002F\u002Fdoi.org\u002F10.1002\u002FPC.27590\nTaj A, Swamy RP, Naik K, Bharath KN (2023) An evaluation on mechanical properties of vacuum bagging processed kenaf epoxy nano aluminium oxide and nanographene composites. Eng Res Exp 5(2):025007. https:\u002F\u002Fdoi.org\u002F10.1088\u002F2631-8695\u002FACC996\nSai Krishnan G, Shanmugasundar G, Vanitha M, Pradhan R, Sivam SPSS (2021) Performance analysis on mechanical\u002Fmorphological properties of ramie-kenaf hybrid polymer composites. AIP Conf Proc 2417(1). https:\u002F\u002Fdoi.org\u002F10.1063\u002F5.0072635\u002F611245\nChaudhary V, Bajpai PK, Maheshwari S (2018) An investigation on wear and dynamic mechanical behavior of jute\u002Fhemp\u002Fflax reinforced composites and its hybrids for tribological applications. Fibers Polym 19(2):403–415. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12221-018-7759-6",{"VOID":415},"10.1007\u002Fs13399-023-05037-4",[112],"https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13399-023-05037-4",[419,434,447,462,475,488],{"id":420,"sortIndex":23,"researcher":22,"roles":421,"affiliations":422,"properties":431,"displayName":433,"givenName":22,"familyName":22},"d2f782ac-cf07-4e0a-a7a4-daa569c7010e",[118],[423],{"id":424,"sortIndex":23,"affiliation":425,"properties":22},"9174d82e-3877-4db6-a7a1-0aba7dbe52d6",{"id":424,"createTime":22,"updateTime":22,"relativeEntities":426,"slug":22,"properties":427,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":430,"statistic":22},[],{"title":428},{"EN":429},"Department of Mechanical Engineering, A.S.E.T, Amity University Uttar Pradesh, Noida, India",[],{"title":432},{"VI":433},"Sidharth Radhakrishnan",{"id":435,"sortIndex":85,"researcher":22,"roles":436,"affiliations":437,"properties":444,"displayName":446,"givenName":22,"familyName":22},"2fb096a5-4b49-410f-bfe5-7bdbfa8ce7dc",[118],[438],{"id":424,"sortIndex":23,"affiliation":439,"properties":22},{"id":424,"createTime":22,"updateTime":22,"relativeEntities":440,"slug":22,"properties":441,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":443,"statistic":22},[],{"title":442},{"EN":429},[],{"title":445},{"VI":446},"Jalaparthi Sai Krishna",{"id":448,"sortIndex":155,"researcher":22,"roles":449,"affiliations":450,"properties":459,"displayName":461,"givenName":22,"familyName":22},"10beab0a-2af7-4b92-9023-09efa7494722",[118],[451],{"id":452,"sortIndex":23,"affiliation":453,"properties":22},"1d55c7ba-7e08-4f7b-ac88-5b04929aa977",{"id":452,"createTime":22,"updateTime":22,"relativeEntities":454,"slug":22,"properties":455,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":458,"statistic":22},[],{"title":456},{"VI":457},"Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, India",[],{"title":460},{"VI":461},"Shashi Prakash Dwivedi",{"id":463,"sortIndex":169,"researcher":22,"roles":464,"affiliations":465,"properties":472,"displayName":474,"givenName":22,"familyName":22},"31723ae4-4226-4be8-9e97-fec3fc30e4b2",[118],[466],{"id":424,"sortIndex":23,"affiliation":467,"properties":22},{"id":424,"createTime":22,"updateTime":22,"relativeEntities":468,"slug":22,"properties":469,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":471,"statistic":22},[],{"title":470},{"EN":429},[],{"title":473},{"VI":474},"Sumit Gupta",{"id":476,"sortIndex":313,"researcher":22,"roles":477,"affiliations":478,"properties":485,"displayName":487,"givenName":22,"familyName":22},"6185170a-5cde-4566-a78f-9ab269195708",[118],[479],{"id":424,"sortIndex":23,"affiliation":480,"properties":22},{"id":424,"createTime":22,"updateTime":22,"relativeEntities":481,"slug":22,"properties":482,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":484,"statistic":22},[],{"title":483},{"EN":429},[],{"title":486},{"VI":487},"Pallav Gupta",{"id":489,"sortIndex":327,"researcher":22,"roles":490,"affiliations":491,"properties":498,"displayName":500,"givenName":22,"familyName":22},"579bad81-71f5-4733-9923-cf31680b7d0b",[118],[492],{"id":424,"sortIndex":23,"affiliation":493,"properties":22},{"id":424,"createTime":22,"updateTime":22,"relativeEntities":494,"slug":22,"properties":495,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":497,"statistic":22},[],{"title":496},{"EN":429},[],{"title":499},{"VI":500},"Vijay Chaudhary",{"url":417,"publisher":502,"properties":544},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":503,"slug":10,"properties":504,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":508,"manageAffiliations":513,"indexDatabases":524,"url":22,"thumbnailPath":22,"statistic":539,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":505,"title":506,"eissn":507},{"VOID":15},{"EN":17},{"VOID":13},[509],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":510,"label":511,"description":512,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[514,519],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":515,"slug":22,"properties":516,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":518,"statistic":22},[],{"title":517},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":520,"slug":22,"properties":521,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":523,"statistic":22},[],{"title":522},{"EN":45},[39],[525,532],{"id":49,"indexDatabase":526,"url":60,"indexYears":61,"academicFieldIds":531,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":527,"label":528,"description":529,"key":57,"publicationTags":530,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":533,"url":79,"indexYears":22,"academicFieldIds":538,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":534,"label":535,"description":536,"key":75,"publicationTags":537,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":540,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":541,"totalCitation":23,"totalCitationByYear":542,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":543,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"pages":545},{"VOID":546},"1-13","2023-10-28",[64,77],{"id":550,"createTime":551,"updateTime":552,"relativeEntities":553,"slug":554,"properties":555,"entityType":110,"verifyStatus":248,"verifyTime":565,"verifyNote":250,"languages":22,"translateLanguages":566,"viewCount":23,"primaryUrl":567,"fullTextUrl":568,"authors":569,"publicationType":181,"publisherRelationship":598,"citationCount":22,"citationInfo":22,"publishDate":22,"publishYear":22,"citationAnalyzeStatus":21,"lastCitationAnalyze":22,"indexDatabases":644,"openAccess":22,"references":22,"isForceReanalyzing":231},"40e39695-58fc-4df9-a910-af776e066533","2024-01-27T14:08:59.700+00:00","2026-09-07T10:16:31.353+00:00",[],"Biosynthesis-characterization-and-evaluation-of-antibacterial-and-photocatalytic-dye-degradation-activities-of-silver-nanoparticles-biosynthesized-by-Chlorella-sorokiniana",{"abstract":556,"title":558,"references":561,"doi":563},{"EN":557},"Nanoparticle synthesis by physiochemical methods is highly expensive and uses hazardous chemicals, and leaves behind toxic by-products. Thus, green or biological synthesis has emerged as an alternative for the same. The present study reports the synthesis of silver nanoparticles (SNPs) using Chlorella sorokiniana microalgae extract. The influence of certain parameters (pH, cell disruption methods, temperature, extract to precursor metal salt solution ratio, salt strength, biomass concentration, and incubation conditions) on SNP synthesis was studied. A strong surface plasmon response band occurred with a maximum between 400 and 440 nm at different physiochemical parameters tested. Synthesized SNPs were spherical and were 79 nm in size with a zeta potential of − 23.7 mV at optimized conditions. XRD analysis confirmed the crystalline structure of nanoparticles. The synthesized SNPs were found to be an effective bactericide, with zones of inhibition up to 20 ± 1 and 15 ± 1 mm for E. coli and S. aureus, respectively. SNPs were observed to catalyze the degradation of crystal violet by 97.04%, followed by methylene blue (95.75%) and eosin Y (94.9%), and the least efficiency was observed for rhodamine B (56.05%), at the end of 18 h under direct exposure to sunlight. Thus, the study concludes that SNPs synthesized using Chlorella sorokiniana are potent antibacterial agents and catalysts for photocatalytic dye degradation.",{"EN":559,"VI":560},"Biosynthesis, characterization, and evaluation of antibacterial and photocatalytic dye degradation activities of silver nanoparticles biosynthesized by Chlorella sorokiniana","Tổng hợp sinh học, đặc trưng hoá và đánh giá hoạt tính kháng khuẩn cùng hoạt tính quang xúc tác phân huỷ thuốc nhuộm của các hạt nano bạc được tổng hợp sinh học từ Chlorella sorokiniana",{"VOID":562},"citation_journal_title=Int Biodeterior Biodegrad; citation_title=Biodegradation of dyes by some green algae and cyanobacteria; citation_author=MM El-Sheekh, MM Gharieb, GW Abou-El-Souod; citation_volume=63; citation_publication_date=2009; citation_pages=699-704; citation_doi=10.1016\u002Fj.ibiod.2009.04.010; citation_id=CR1\nLiu Q (2020) Pollution and treatment of dye waste-water. IOP Conference Series: Earth and Environmental Science 514(5):052001\nKumar L, Bharadvaja N (2020) Microorganisms: a remedial source for dye pollution. In: Removal of toxic pollutants through microbiological and tertiary treatment. Elsevier, pp 309–333\ncitation_journal_title=Biol Trace Elem Res; citation_title=Nanoparticles as novel emerging therapeutic antibacterial agents in the antibiotics resistant era; citation_author=F Fatima, S Siddiqui, WA Khan; citation_volume=199; citation_publication_date=2021; citation_pages=2552-2564; citation_doi=10.1007\u002Fs12011-020-02394-3; citation_id=CR4\ncitation_journal_title=Lancet; citation_title=Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis; citation_author=CJ Murray, KS Ikuta, F Sharara; citation_volume=399; citation_publication_date=2022; citation_pages=629-655; citation_doi=10.1016\u002FS0140-6736(21)02724-0; citation_id=CR5\ncitation_journal_title=Water (Switzerland); citation_title=Antimicrobials and antibiotic-resistant bacteria: a risk to the environment and to public health; citation_author=L Serwecińska; citation_volume=12; citation_publication_date=2020; citation_pages=3313; citation_doi=10.3390\u002Fw12123313; citation_id=CR6\ncitation_journal_title=Environ Chem Lett; citation_title=Nanomaterials for remediation of contaminants: a review; citation_author=L Kumar, V Ragunathan, M Chugh, N Bharadvaja; citation_volume=19; citation_publication_date=2021; citation_pages=3139-3163; citation_doi=10.1007\u002Fs10311-021-01212-z; citation_id=CR7\ncitation_journal_title=Chem Soc Rev; citation_title=Combatting antibiotic-resistant bacteria using nanomaterials; citation_author=A Gupta, S Mumtaz, CH Li; citation_volume=48; citation_publication_date=2019; citation_pages=415-427; citation_doi=10.1039\u002FC7CS00748E; citation_id=CR8\ncitation_journal_title=Nat Rev Microbiol; citation_title=Nanomaterial-based therapeutics for antibiotic-resistant bacterial infections; citation_author=JMV Makabenta, A Nabawy, CH Li; citation_volume=19; citation_publication_date=2021; citation_pages=23-36; citation_doi=10.1038\u002Fs41579-020-0420-1; citation_id=CR9\ncitation_journal_title=J Hazard Mater; citation_title=Impact of synthetic silver nanoparticles on the biofilm microbial communities and wastewater treatment efficiency in experimental hybrid filter system treating municipal wastewater; citation_author=M Truu, T Ligi, H Nõlvak; citation_volume=440; citation_publication_date=2022; citation_pages=129721; citation_doi=10.1016\u002Fj.jhazmat.2022.129721; citation_id=CR10\ncitation_journal_title=J Clean Prod; citation_title=Performance evaluation and optimization of ZnO-PVP nanoparticles for photocatalytic wastewater treatment: interactions between UV light intensity and nanoparticles dosage; citation_author=S Abdolalian, M Taghavijeloudar; citation_volume=365; citation_publication_date=2022; citation_pages=132833; citation_doi=10.1016\u002Fj.jclepro.2022.132833; citation_id=CR11\ncitation_journal_title=New Carbon Mater; citation_title=Preparation and antibacterial activities of copper nanoparticles encapsulated by carbon; citation_author=H-f Chen, J-j Wu, M-y Wu, H Jia; citation_volume=34; citation_publication_date=2019; citation_pages=382-389; citation_doi=10.1016\u002FS1872-5805(19)30023-X; citation_id=CR12\ncitation_journal_title=Sci Rep; citation_title=Antimicrobial activity of titanium dioxide and zinc oxide nanoparticles supported in 4A zeolite and evaluation the morphological characteristic; citation_author=M Azizi-Lalabadi, A Ehsani, B Divband, M Alizadeh-Sani; citation_volume=9; citation_publication_date=2019; citation_pages=1-10; citation_doi=10.1038\u002Fs41598-019-54025-0; citation_id=CR13\ncitation_journal_title=ACS Appl Nano Mater; citation_title=Enhancing the antibacterial performance of titanium dioxide nanofibers by coating with silver nanoparticles; citation_author=JZ Soo, LC Chai, BC Ang, BH Ong; citation_volume=3; citation_publication_date=2020; citation_pages=5743-5751; citation_doi=10.1021\u002Facsanm.0c00925; citation_id=CR14\ncitation_journal_title=Sci Rep; citation_title=Antimicrobial activity of iron oxide nanoparticle upon modulation of nanoparticle-bacteria interface; citation_author=M Arakha, S Pal, D Samantarrai; citation_volume=5; citation_publication_date=2015; citation_pages=1-12; citation_doi=10.1038\u002Fsrep14813; citation_id=CR15\ncitation_journal_title=Nanomaterials; citation_title=Gold nanoparticles: an efficient antimicrobial agent against enteric bacterial human pathogen; citation_author=S Shamaila, N Zafar, S Riaz; citation_volume=6; citation_publication_date=2016; citation_pages=71; citation_doi=10.3390\u002Fnano6040071; citation_id=CR16\nYun JE, Lee DG (2017) Silver nanoparticles: a novel antimicrobial agent. In: Antimicrobial nanoarchitectonics: from synthesis to applications. Elsevier, pp 139–166\ncitation_journal_title=Vegetos; citation_title=Phyconanoremediation: a sustainable approach to deal with environmental pollutants heavy metals and dyes; citation_author=L Kumar, L Mohan, S Anand; citation_volume=2022; citation_publication_date=2022; citation_pages=1-16; citation_doi=10.1007\u002FS42535-022-00399-Y; citation_id=CR18\ncitation_journal_title=J Genet Eng Biotechnol; citation_title=Algal production of nano-silver and gold: their antimicrobial and cytotoxic activities: a review; citation_author=MM El-Sheekh, HY El-Kassas; citation_volume=14; citation_publication_date=2016; citation_pages=299-310; citation_doi=10.1016\u002Fj.jgeb.2016.09.008; citation_id=CR19\ncitation_journal_title=Biomolecules; citation_title=An overview of the algae-mediated biosynthesis of nanoparticles and their biomedical applications; citation_author=R Chaudhary, K Nawaz, AK Khan; citation_volume=10; citation_publication_date=2020; citation_pages=1-35; citation_doi=10.3390\u002Fbiom10111498; citation_id=CR20\nZiganshina EE, Bulynina SS, Ziganshin AM (2022) Growth characteristics of Chlorella sorokiniana in a photobioreactor during the utilization of different forms of nitrogen at various temperatures. Plants 11. \n                https:\u002F\u002Fdoi.org\u002F10.3390\u002Fplants11081086\n                \n              \ncitation_journal_title=Clean Technol Environ Policy; citation_title=Optimization of cultivation condition of newly isolated strain Chlorella sorokiniana pa.91 for CO2 bio-fixation and nutrients removal from wastewater: Impact of temperature and light intensity; citation_author=M Taghavijeloudar, P Yaqoubnejad, H Amini-Rad, J Park; citation_volume=1; citation_publication_date=2021; citation_pages=1-13; citation_doi=10.1007\u002Fs10098-021-02199-5; citation_id=CR22\ncitation_journal_title=Biotechnol Biofuels; citation_title=Domestication of the green alga Chlorella sorokiniana: reduction of antenna size improves light-use efficiency in a photobioreactor; citation_author=S Cazzaniga, L Dall’Osto, J Szaub; citation_volume=7; citation_publication_date=2014; citation_pages=1-13; citation_doi=10.1186\u002Fs13068-014-0157-z; citation_id=CR23\ncitation_journal_title=Appl Nanosci; citation_title=Green synthesis of silver nanoparticles using marine algae Caulerpa racemosa and their antibacterial activity against some human pathogens; citation_author=T Kathiraven, A Sundaramanickam, N Shanmugam, T Balasubramanian; citation_volume=5; citation_publication_date=2015; citation_pages=499-504; citation_doi=10.1007\u002Fs13204-014-0341-2; citation_id=CR24\nBhuyar P, Rahim MHA, Sundararaju S et al (2020) Synthesis of silver nanoparticles using marine macroalgae Padina sp. and its antibacterial activity towards pathogenic bacteria. Beni-Suef Univ J Basic Appl Sci 9. \n                https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs43088-019-0031-y\n                \n              \nIbraheem IBM, Abd Elaziz BEE, Saad WF, Fathy WA (2016) Green biosynthesis of silver nanoparticles using marine red algae Acanthophora specifera and its antibacterial activity. J Nanomed Nanotechnol 7:7–10. \n                https:\u002F\u002Fdoi.org\u002F10.4172\u002F2157-7439.1000409\n                \n              \ncitation_journal_title=Avicenna J Med Biotechnol; citation_title=Biogenic silver nanoparticles by Gelidiella acerosa extract and their antifungal effects; citation_author=M Vivek, PS Kumar, S Steffi, S Sudha; citation_volume=3; citation_publication_date=2011; citation_pages=143-148; citation_id=CR27\ncitation_journal_title=Environ Int; citation_title=Highly stable AgNPs prepared via a novel green approach for catalytic and photocatalytic removal of biological and non-biological pollutants; citation_author=P Rani, V Kumar, PP Singh; citation_volume=143; citation_publication_date=2020; citation_pages=105924; citation_doi=10.1016\u002Fj.envint.2020.105924; citation_id=CR28\ncitation_journal_title=Appl Nanosci; citation_title=Green synthesis of silver nanoparticles using marine macroalga Chaetomorpha linum; citation_author=RRR Kannan, R Arumugam, D Ramya; citation_volume=3; citation_publication_date=2013; citation_pages=229-233; citation_doi=10.1007\u002Fs13204-012-0125-5; citation_id=CR29\nRajkumar R, Ezhumalai G, Gnanadesigan M (2021) A green approach for the synthesis of silver nanoparticles by Chlorella vulgaris and its application in photocatalytic dye degradation activity. Environ Technol Innov 21.\n                https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.eti.2020.101282\n                \n              \ncitation_journal_title=Org Med Chem Int J; citation_title=Effect of concentration and pH on the size of silver nanoparticles synthesized by green chemistry; citation_author=LB Anigol, JS Charantimath, PM Gurubasavaraj; citation_volume=3; citation_publication_date=2017; citation_pages=1-5; citation_doi=10.19080\u002FOMCIJ.2017.03.555622; citation_id=CR31\ncitation_journal_title=Int Nano Lett; citation_title=Green synthesis of silver nanoparticles mediated by traditionally used medicinal plants in Sudan; citation_author=RH Ahmed, DE Mustafa; citation_volume=10; citation_publication_date=2020; citation_pages=1-14; citation_doi=10.1007\u002Fs40089-019-00291-9; citation_id=CR32\ncitation_journal_title=Chem Phys Lett; citation_title=Green synthesis of silver nanoparticles using Kalanchoe pinnata leaves (life plant) and their antibacterial and photocatalytic activities; citation_author=R Aryan, MS Mehata; citation_volume=778; citation_publication_date=2021; citation_pages=138760; citation_doi=10.1016\u002Fj.cplett.2021.138760; citation_id=CR33\ncitation_journal_title=Sustainability; citation_title=Plant-extract-assisted green synthesis of silver nanoparticles using Origanum vulgare L. extract and their microbicidal activities; citation_author=MR Shaik, M Khan, M Kuniyil; citation_volume=10; citation_publication_date=2018; citation_pages=1-14; citation_doi=10.3390\u002Fsu10040913; citation_id=CR34\ncitation_journal_title=Int J Mol Sci; citation_title=Green synthesis of silver nanoparticles through reduction with Solanum xanthocarpum L. berry extract: characterization, antimicrobial and urease inhibitory activities against Helicobacter pylori; citation_author=M Amin, F Anwar, MRSA Janjua; citation_volume=13; citation_publication_date=2012; citation_pages=9923-9941; citation_doi=10.3390\u002Fijms13089923; citation_id=CR35\ncitation_journal_title=Langmuir; citation_title=Formation of PVP-protected metal nanoparticles in DMF; citation_author=I Pastoriza-Santos, LM Liz-Marzán; citation_volume=18; citation_publication_date=2002; citation_pages=2888-2894; citation_doi=10.1021\u002Fla015578g; citation_id=CR36\ncitation_journal_title=Nanomaterials; citation_title=A sustainable approach to fabricating ag nanoparticles\u002FPVA hybrid nanofiber and its catalytic activity; citation_author=Y Meng; citation_volume=5; citation_publication_date=2015; citation_pages=1124-1135; citation_doi=10.3390\u002Fnano5021124; citation_id=CR37\ncitation_journal_title=Appl Biochem Biotechnol; citation_title=Microwave-mediated extracellular synthesis of metallic silver and zinc oxide nanoparticles using macro-algae (Gracilaria edulis) extracts and its anticancer activity against human PC3 cell lines; citation_author=RI Priyadharshini, G Prasannaraj, N Geetha, P Venkatachalam; citation_volume=174; citation_publication_date=2014; citation_pages=2777-2790; citation_doi=10.1007\u002Fs12010-014-1225-3; citation_id=CR38\ncitation_journal_title=Mater Chem Phys; citation_title=Biosynthesis and characterization of cadmium sulfide nanoparticles - an emphasis of zeta potential behavior due to capping; citation_author=A Sankhla, R Sharma, RS Yadav; citation_volume=170; citation_publication_date=2016; citation_pages=44-51; citation_doi=10.1016\u002Fj.matchemphys.2015.12.017; citation_id=CR39\nShnoudeh AJ, Hamad I, Abdo RW et al (2019) Synthesis, characterization, and applications of metal nanoparticles. In: Biomaterials and bionanotechnology. Academic Press, pp 527–612\ncitation_journal_title=Particuology; citation_title=Progress in nanoparticles characterization: sizing and zeta potential measurement; citation_author=R Xu; citation_volume=6; citation_publication_date=2008; citation_pages=112-115; citation_doi=10.1016\u002Fj.partic.2007.12.002; citation_id=CR41\ncitation_journal_title=Environ Sci Technol; citation_title=Impact of environmental conditions (pH, ionic strength, and electrolyte type) on the surface charge and aggregation of silver nanoparticles suspensions; citation_author=AM Badawy, TP Luxton, RG Silva; citation_volume=44; citation_publication_date=2010; citation_pages=1260-1266; citation_doi=10.1021\u002Fes902240k; citation_id=CR42\ncitation_journal_title=J Phys Chem B; citation_title=Relationship between absorbance spectra and particle size distributions for quantum-sized nanocrystals; citation_author=NS Pesika, KJ Stebe, PC Searson; citation_volume=107; citation_publication_date=2003; citation_pages=10412-10415; citation_doi=10.1021\u002Fjp0303218; citation_id=CR43\ncitation_journal_title=J Appl Phycol; citation_title=Evaluation of the performance of an algal bioreactor for silver nanoparticle production; citation_author=S Satapathy, SP Shukla, KP Sandeep; citation_volume=27; citation_publication_date=2015; citation_pages=285-291; citation_doi=10.1007\u002Fs10811-014-0311-9; citation_id=CR44\ncitation_journal_title=Arab J Chem; citation_title=Green synthesis of silver nanoparticles using the seaweed Gracilaria birdiae and their antibacterial activity; citation_author=AP Aragão, TM Oliveira, PV Quelemes; citation_volume=12; citation_publication_date=2016; citation_pages=4182-4188; citation_doi=10.1016\u002Fj.arabjc.2016.04.014; citation_id=CR45\ncitation_journal_title=Indian J Pharm Sci; citation_title=Biosynthesis of silver nanoparticles from marine seaweed Sargassum cinereum and their antibacterial activity; citation_author=C Mohandass, AS Vijayaraj, R Rajasabapathy; citation_volume=75; citation_publication_date=2013; citation_pages=606-610; citation_id=CR46\ncitation_journal_title=Indian J Microbiol; citation_title=Comparison of antimicrobial properties of silver nanoparticles synthesized from selected bacteria; citation_author=MMK Peiris, SSN Fernando, PM Jayaweera; citation_volume=58; citation_publication_date=2018; citation_pages=301-311; citation_doi=10.1007\u002Fs12088-018-0723-3; citation_id=CR47\ncitation_journal_title=Int J Nanomed; citation_title=The antimicrobial activity of nanoparticles: present situation and prospects for the future; citation_author=L Wang, C Hu, L Shao; citation_volume=12; citation_publication_date=2017; citation_pages=1227-1249; citation_doi=10.2147\u002FIJN.S121956; citation_id=CR48\ncitation_journal_title=Int J Nanomed; citation_title=Silver nanoparticles embedded in zeolite membranes: release of silver ions and mechanism of antibacterial action; citation_author=A Nagy, A Harrison, S Sabbani; citation_volume=6; citation_publication_date=2011; citation_pages=1833-1852; citation_doi=10.2147\u002Fijn.s24019; citation_id=CR49\ncitation_journal_title=Small; citation_title=Mechanisms of antibacterial activity of MgO: non-ROS mediated toxicity of MgO nanoparticles towards Escherichia coli; citation_author=YH Leung, AMC Ng, X Xu; citation_volume=10; citation_publication_date=2014; citation_pages=1171-1183; citation_doi=10.1002\u002Fsmll.201302434; citation_id=CR50\ncitation_journal_title=Chemosphere; citation_title=Decolorization of textile wastewater by photo-Fenton oxidation technology; citation_author=SF Kang, CH Liao, ST Po; citation_volume=41; citation_publication_date=2000; citation_pages=1287-1294; citation_doi=10.1016\u002FS0045-6535(99)00524-X; citation_id=CR51\ncitation_journal_title=J Photochem Photobiol B Biol; citation_title=Biosynthesis of silver nanoparticles by using Camellia japonica leaf extract for the electrocatalytic reduction of nitrobenzene and photocatalytic degradation of eosin-Y; citation_author=R Karthik, M Govindasamy, SM Chen; citation_volume=170; citation_publication_date=2017; citation_pages=164-172; citation_doi=10.1016\u002Fj.jphotobiol.2017.03.018; citation_id=CR52\ncitation_journal_title=ACS Sustain Chem Eng; citation_title=Sunlight-induced selective photocatalytic degradation of methylene blue in bacterial culture by pollutant soot derived nontoxic graphene nanosheets; citation_author=P Khare, A Singh, S Verma; citation_volume=6; citation_publication_date=2018; citation_pages=579-589; citation_doi=10.1021\u002Facssuschemeng.7b02929; citation_id=CR53\ncitation_journal_title=Optik (Stuttg); citation_title=Phase-dependent optical and photocatalytic performance of synthesized titanium dioxide (TiO2) nanoparticles; citation_author=MK Singh, MS Mehata; citation_volume=193; citation_publication_date=2019; citation_pages=163011; citation_doi=10.1016\u002Fj.ijleo.2019.163011; citation_id=CR54\nAbdel Azeem MN, Hassaballa S, Ahmed OM et al (2021) Photocatalytic activity of revolutionary Galaxaura elongata, Turbinaria ornata, and Enteromorpha flexuosa’s bio-capped silver nanoparticles for industrial wastewater treatment. Nanomaterials 11.\n                https:\u002F\u002Fdoi.org\u002F10.3390\u002Fnano11123241\n                \n              \ncitation_journal_title=Int J Chem Phys Sci; citation_title=Removal of hazardous Rhodamine B dye by using chemically activated low cost adsorbent: pine cone charcoal; citation_author=A Thakur, H Kaur; citation_volume=5; citation_publication_date=2016; citation_pages=17-28; citation_id=CR56\nVanaja M, Paulkumar K, Baburaja M et al (2014) Degradation of methylene blue using biologically synthesized silver nanoparticles. Bioinorg Chem Appl 2014.\n                https:\u002F\u002Fdoi.org\u002F10.1155\u002F2014\u002F742346\n                \n              \ncitation_journal_title=Int J Environ Sci Technol; citation_title=Photocatalytic degradation of rhodamine B under UV irradiation using Shorea robusta leaf extract-mediated bio-synthesized silver nanoparticles; citation_author=WA Shaikh, S Chakraborty, RU Islam; citation_volume=17; citation_publication_date=2020; citation_pages=2059-2072; citation_doi=10.1007\u002Fs13762-019-02473-6; citation_id=CR58\ncitation_journal_title=J Photochem Photobiol B Biol; citation_title=Photocatalytic degradation of Rhodamine B by zinc oxide nanoparticles synthesized using the leaf extract of Cyanometra ramiflora; citation_author=T Varadavenkatesan, E Lyubchik, S Pai; citation_volume=199; citation_publication_date=2019; citation_pages=111621; citation_doi=10.1016\u002Fj.jphotobiol.2019.111621; citation_id=CR59\nKumar B (2021) Green synthesis of gold, silver, and iron nanoparticles for the degradation of organic pollutants in wastewater. J Compos Sci 5.\n                https:\u002F\u002Fdoi.org\u002F10.3390\u002Fjcs5080219\n                \n              ",{"VOID":564},"10.1007\u002Fs13399-022-03433-w","2025-02-06T19:00:14.731+00:00",[112],"https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13399-022-03433-w","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs13399-022-03433-w.pdf",[570,585],{"id":571,"sortIndex":23,"researcher":22,"roles":572,"affiliations":573,"properties":582,"displayName":584,"givenName":22,"familyName":22},"e727910e-ec12-49e4-b321-7c94c4310b9c",[118],[574],{"id":575,"sortIndex":23,"affiliation":576,"properties":22},"201261dd-2eb7-43cc-b6d9-f0217089358e",{"id":575,"createTime":22,"updateTime":22,"relativeEntities":577,"slug":22,"properties":578,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":581,"statistic":22},[],{"title":579},{"VI":580},"Plant Biotechnology Laboratory, Department of Biotechnology, Delhi Technological University, Delhi, India",[],{"title":583},{"VI":584},"Kumar, Lakhan",{"id":586,"sortIndex":85,"researcher":22,"roles":587,"affiliations":588,"properties":595,"displayName":597,"givenName":22,"familyName":22},"18cfc4e0-35ad-4306-beb3-800a01a43178",[118],[589],{"id":575,"sortIndex":23,"affiliation":590,"properties":22},{"id":575,"createTime":22,"updateTime":22,"relativeEntities":591,"slug":22,"properties":592,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":594,"statistic":22},[],{"title":593},{"VI":580},[],{"title":596},{"VI":597},"Bharadvaja, Navneeta",{"url":567,"publisher":599,"properties":641},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":600,"slug":10,"properties":601,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":605,"manageAffiliations":610,"indexDatabases":621,"url":22,"thumbnailPath":22,"statistic":636,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":602,"title":603,"eissn":604},{"VOID":15},{"EN":17},{"VOID":13},[606],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":607,"label":608,"description":609,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[611,616],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":612,"slug":22,"properties":613,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":615,"statistic":22},[],{"title":614},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":617,"slug":22,"properties":618,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":620,"statistic":22},[],{"title":619},{"EN":45},[39],[622,629],{"id":49,"indexDatabase":623,"url":60,"indexYears":61,"academicFieldIds":628,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":624,"label":625,"description":626,"key":57,"publicationTags":627,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":630,"url":79,"indexYears":22,"academicFieldIds":635,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":631,"label":632,"description":633,"key":75,"publicationTags":634,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":637,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":638,"totalCitation":23,"totalCitationByYear":639,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":640,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"pages":642},{"VOID":643},"1-11",[],{"id":646,"createTime":647,"updateTime":648,"relativeEntities":649,"slug":650,"properties":651,"entityType":110,"verifyStatus":248,"verifyTime":661,"verifyNote":250,"languages":22,"translateLanguages":662,"viewCount":23,"primaryUrl":663,"fullTextUrl":22,"authors":664,"publicationType":181,"publisherRelationship":693,"citationCount":22,"citationInfo":22,"publishDate":738,"publishYear":229,"citationAnalyzeStatus":21,"lastCitationAnalyze":22,"indexDatabases":739,"openAccess":22,"references":22,"isForceReanalyzing":231},"ec24865b-1c94-4be3-83f1-aeb70fd1c502","2023-12-07T10:04:41.914+00:00","2026-09-06T08:12:51.341+00:00",[],"Optimization-of-ultrasound-assisted-deep-eutectic-solvent-extraction-of-betanin-and-its-application-in-chitosan-based-biofilm",{"abstract":652,"title":654,"references":657,"doi":659},{"EN":653},"A red dragon fruit peel (DFP) contributes to 30–35% of total fruit weight and is disposed of as waste by the fruit processing industries, despite the fact that it contains bioactive compounds with nutritional properties. Ultrasound-assisted deep eutectic solvent (DES) extraction of DFP was performed for the extraction of betanin. From the parametric study, ChCl–ethylene glycol was chosen for further optimization. Extraction parameters were screened using the Plackett–Burman design. Box–Behnken design was applied to get the optimum condition of 40% cycle time, 40% water concentration, and 5 min extraction time to obtain total betanin content of 10.2 mg\u002F10 g dry wt. DFP was valorized to chitosan-based antioxidant films. % DPPH, and % ABTS radical scavenging activity of extract incorporated film was better than control film. Thermogravimetric analysis (TGA) confirmed biofilms could be used safely at food temperature (up to 145 °C). FTIR analysis confirmed the functional group of extract in the chitosan films. With the addition of DES extract, the water vapor permeability and water solubility increased to 3.59 × 10-10 g m-1 s-1 Pa-1 and 47.03%, respectively. The thickness of the film also increased because of the enlargement of space between polymer chains. The elasticity of the films increased by 192.40%, indicating that the DES extract was successfully incorporated as a plasticizer. The tensile strength decreased to 12.46 MPa because of the interaction of DES with the –OH group of chitosan, which disrupts polymer chain bonds. Therefore, bio-refining of waste peel can be advantageous for managing waste disposal and reducing plastic pollution. \n                \n                  \n                    \n                  \n                \n              ",{"EN":655,"VI":656},"Optimization of ultrasound-assisted deep eutectic solvent extraction of betanin and its application in chitosan-based biofilm","Tối ưu hóa quá trình chiết tách betanin bằng dung môi eutectic sâu có hỗ trợ của sóng siêu âm và ứng dụng trong màng sinh học gốc chitosan",{"VOID":658},"Ho PL, Tran DT, Hertog MLATM, Nicolaï BM (2021) Effect of controlled atmosphere storage on the quality attributes and volatile organic compounds profile of dragon fruit (Hylocereus undatus). Postharvest Biol Technol 173:111406. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.postharvbio.2020.111406\nPaśko P, Galanty A, Zagrodzki P et al (2021) Bioactivity and cytotoxicity of different species of pitaya fruits – a comparative study with advanced chemometric analysis. Food Biosci 40:100888. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.fbio.2021.100888\nGengatharan A, Dykes GA, Choo WS (2015) Betalains: natural plant pigments with potential application in functional foods. LWT Food Sci Technol 64:645–649. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.lwt.2015.06.052\nLee BH, Hsu KT, Chen YZ et al (2022) Polysaccharide extracts derived from defloration waste of fruit pitaya regulates gut microbiota in a mice model. Fermentation 8:108. https:\u002F\u002Fdoi.org\u002F10.3390\u002Ffermentation8030108\nMa J, Mo W, Zhang P et al (2020) Constituent diversity of ethanol extracts from pitaya. Asia-Pacific J Chem Eng 15:2478. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fapj.2478\nKoutsoukos S, Tsiaka T, Tzani A et al (2019) Choline chloride and tartaric acid, a natural deep eutectic solvent for the efficient extraction of phenolic and carotenoid compounds. J Clean Prod 241:118384. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jclepro.2019.118384\nDai Y, Verpoorte R, Choi YH (2014) Natural deep eutectic solvents providing enhanced stability of natural colorants from safflower (Carthamus tinctorius). Food Chem 159:116–121. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2014.02.155\nCunha SC, Fernandes JO (2018) Extraction techniques with deep eutectic solvents. TrAC Trends Anal Chem 105:225–239. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trac.2018.05.001\nJakubowska E, Gierszewska M, Nowaczyk J, Olewnik-Kruszkowska E (2020) Physicochemical and storage properties of chitosan-based films plasticized with deep eutectic solvent. Food Hydrocoll 108:106007. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodhyd.2020.106007\nKyriakidou A, Makris DP, Lazaridou A et al (2021) Physical properties of chitosan films containing pomegranate peel extracts obtained by deep eutectic solvents. Foods 10:1–17. https:\u002F\u002Fdoi.org\u002F10.3390\u002Ffoods10061262\nSobral PJA, Menegalli FC, Hubinger MD, Roques MA (2001) Mechanical, water vapor barrier and thermal properties of gelatin based edible films. Food Hydrocoll 15:423–432. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0268-005X(01)00061-3\nShahbazi Y (2017) The properties of chitosan and gelatin films incorporated with ethanolic red grape seed extract and ziziphora clinopodioides essential oil as biodegradable materials for active food packaging. Int J Biol Macromol 99:746–753. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijbiomac.2017.03.065\nLi X, Chen F, Li S et al (2016) An efficient homogenate-microwave-assisted extraction of flavonols and anthocyanins from blackcurrant marc: optimization using combination of plackett-burman design and box-behnken design. Ind Crop Prod 94:834–847. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.indcrop.2016.09.063\nRebecca OPS, Boyce AN, Chandran S (2010) Pigment identification and antioxidant properties of red dragon fruit (Hylocereus polyrhizus). Afr J Biotechnol 9:1450–1454. https:\u002F\u002Fdoi.org\u002F10.5897\u002Fajb09.1603\nRoriz CL, Xavier V, Heleno SA et al (2021) Chemical and bioactive features of Amaranthus caudatus L. flowers and optimized ultrasound-assisted extraction of betalains. Foods 10:779. https:\u002F\u002Fdoi.org\u002F10.3390\u002Ffoods10040779\nJakubowska E, Gierszewska M, Nowaczyk J, Olewnik-Kruszkowska E (2021) The role of a deep eutectic solvent in changes of physicochemical and antioxidative properties of chitosan-based films. Carbohydr Polym 255:117527. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.carbpol.2020.117527\nMartins JT, Cerqueira MA, Vicente AA (2012) Influence of α-tocopherol on physicochemical properties of chitosan-based films. Food Hydrocoll 27:220–227. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodhyd.2011.06.011\nVelásquez P, Bustos D, Montenegro G, Giordano A (2021) Ultrasound-assisted extraction of anthocyanins using natural deep eutectic solvents and their incorporation in edible films. Molecules 26:984. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmolecules26040984\nPontillo ARN, Koutsoukos S, Welton T, Detsi A (2021) Investigation of the influence of natural deep eutectic solvents (NaDES) in the properties of chitosan-stabilised films. Mater Adv 2:3954–3964. https:\u002F\u002Fdoi.org\u002F10.1039\u002Fd0ma01008a\nGalvis-Sánchez AC, Castro MCR, Biernacki K et al (2018) Natural deep eutectic solvents as green plasticizers for chitosan thermoplastic production with controlled\u002Fdesired mechanical and barrier properties. Food Hydrocoll 82:478–489. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodhyd.2018.04.026\nChen F, Zhang Q, Fei S et al (2017) Optimization of ultrasonic circulating extraction of samara oil from Acer saccharum using combination of Plackett–Burman design and Box–Behnken design. Ultrason Sonochem 35:161–175. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ultsonch.2016.09.015\nCarrera C, Pastol J, Setyaningsih W et al (2021) Optimization by means of chemometric tools of an ultrasound-assisted method for the extraction of betacyanins from red dragon fruit (Hylocereus polyrhizus). Agronomy 11. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagronomy11061053\nTabio-García D, Paraguay-Delgado F, Sánchez-Madrigal MÁ et al (2021) Optimisation of the ultrasound-assisted extraction of betalains and polyphenols from Amaranthus hypochondriacus var. Nutrisol. Ultrason Sonochem 77:105680. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ultsonch.2021.105680\nChen S, Zeng Z, Hu N et al (2018) Simultaneous optimization of the ultrasound-assisted extraction for phenolic compounds content and antioxidant activity of Lycium ruthenicum Murr. fruit using response surface methodology. Food Chem 242:1–8. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2017.08.105\nPrajapati RA, Jadeja GC (2022) Natural food colorants: extraction and stability study. Mater Today Proc 57:2381–2395. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.matpr.2021.12.151\nTaira J, Tsuchida E, Katoh MC et al (2015) Antioxidant capacity of betacyanins as radical scavengers for peroxyl radical and nitric oxide. Food Chem 166:531–536. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2014.05.102\nLee S, Suh DH, Lee S et al (2014) Metabolite profiling of red and white pitayas (Hylocereus polyrhizus and Hylocereus undatus) for comparing betalain biosynthesis and antioxidant activity. J Agric Food Chem 62:8764–8771. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fjf5020704\nAbirami K, Swain S, Baskaran V et al (2021) Distinguishing three dragon fruit (Hylocereus spp.) species grown in Andaman and Nicobar islands of India using morphological, biochemical and molecular traits. Sci Rep 11:1–14. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-021-81682-x\nAl-Saqer JM, Sidhu JS, Al-Hooti SN et al (2004) Developing functional foods using red palm olein. IV. Tocopherols and tocotrienols. Food Chem 85:579–583. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2003.08.003\nWang L, Guo H, Wang J et al (2019) Effects of Herba Lophatheri extract on the physicochemical properties and biological activities of the chitosan film. Int J Biol Macromol 133:51–57. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijbiomac.2019.04.067\nSong X, Liu L, Wu X et al (2021) Chitosan-based functional films integrated with magnolol: characterization, antioxidant and antimicrobial activity and pork preservation. Int J Mol Sci 22. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fijms22157769\nDelgado-Mellado N, Larriba M, Navarro P et al (2018) Thermal stability of choline chloride deep eutectic solvents by TGA\u002FFTIR-ATR analysis. J Mol Liq 260:37–43. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.molliq.2018.03.076\nNeto CG, Giacometti JA, Job AE et al (2005) Thermal analysis of chitosan based networks. Carbohydr Polym 62:97–103. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.carbpol.2005.02.022\nFathordoobady F, Jarzębski M, Pratap-Singh A et al (2021) Encapsulation of betacyanins from the peel of red dragon fruit (Hylocereus polyrhizus L.) in alginate microbeads. Food Hydrocoll 113:106535. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodhyd.2020.106535\nChandra Roy V, Ho TC, Lee HJ et al (2021) Extraction of astaxanthin using ultrasound-assisted natural deep eutectic solvents from shrimp wastes and its application in bioactive films. J Clean Prod 284:125417. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jclepro.2020.125417\nOjagh SM, Rezaei M, Razavi SH, Hosseini SMH (2010) Development and evaluation of a novel biodegradable film made from chitosan and cinnamon essential oil with low affinity toward water. Food Chem 122:161–166. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2010.02.033\nSouza BW, Cerqueira MA, Martins JT et al (2010) Influence of electric fields on the structure of chitosan edible coatings. Food Hydrocoll 24:330–335. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodhyd.2009.10.011\nMatet M, Heuzey MC, Pollet E et al (2013) Innovative thermoplastic chitosan obtained by thermo-mechanical mixing with polyol plasticizers. Carbohydr Polym 95:241–251. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.carbpol.2013.02.052\nSokolova MP, Smirnov MA, Samarov AA et al (2018) Plasticizing of chitosan films with deep eutectic mixture of malonic acid and choline chloride. Carbohydr Polym 197:548–557. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.carbpol.2018.06.037\nCazón P, Vázquez M, Velazquez G (2020) Environmentally friendly films combining bacterial cellulose, chitosan, and polyvinyl alcohol: effect of water activity on barrier, mechanical, and optical properties. Biomacromolecules 21:753–760. https:\u002F\u002Fdoi.org\u002F10.1021\u002Facs.biomac.9b01457\nBerg C (1991) Food-water relations: progress and integration, comments and thoughts. In: Water relationships in foods. Springer, Boston, pp 21–28\nCazón P, Antoniewska A, Rutkowska J, Vázquez M (2021) Evaluation of easy-removing antioxidant films of chitosan with Melaleuca alternifolia essential oil. Int J Biol Macromol 186:365–376. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijbiomac.2021.07.035\nAlves TFP, Teixeira N, Vieira J et al (2022) Sustainable chitosan packaging films: green tea polyphenolic extraction strategies using deep eutectic solvents. J Clean Prod 372:133589. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jclepro.2022.133589\nKhoshgozaran-Abras S, Azizi MH, Hamidy Z, Bagheripoor-Fallah N (2012) Mechanical, physicochemical and color properties of chitosan based-films as a function of aloe vera gel incorporation. Carbohydr Polym 87:2058–2062. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.carbpol.2011.10.020\nWang L, Dong Y, Men H et al (2013) Preparation and characterization of active films based on chitosan incorporated tea polyphenols. Food Hydrocoll 32:35–41. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodhyd.2012.11.034\nAlmeida CMR, Magalhães JMCS, Souza HKS, Gonçalves MP (2018) The role of choline chloride-based deep eutectic solvent and curcumin on chitosan films properties. Food Hydrocoll 81:456–466. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodhyd.2018.03.025",{"VOID":660},"10.1007\u002Fs13399-023-03808-7","2024-12-06T19:59:42.789+00:00",[112],"https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs13399-023-03808-7",[665,680],{"id":666,"sortIndex":23,"researcher":22,"roles":667,"affiliations":668,"properties":677,"displayName":679,"givenName":22,"familyName":22},"1577d7b5-30a3-40f2-bedd-cd065c716a19",[118],[669],{"id":670,"sortIndex":23,"affiliation":671,"properties":22},"a7ba5145-bb30-4e3e-b6a5-b19024d809db",{"id":670,"createTime":22,"updateTime":22,"relativeEntities":672,"slug":22,"properties":673,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":676,"statistic":22},[],{"title":674},{"VI":675},"Department of Chemical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India",[],{"title":678},{"VI":679},"Rushikesh A. Prajapati",{"id":681,"sortIndex":85,"researcher":22,"roles":682,"affiliations":683,"properties":690,"displayName":692,"givenName":22,"familyName":22},"cdeb8827-0e29-4e02-94db-3684b28f57c5",[118],[684],{"id":670,"sortIndex":23,"affiliation":685,"properties":22},{"id":670,"createTime":22,"updateTime":22,"relativeEntities":686,"slug":22,"properties":687,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":689,"statistic":22},[],{"title":688},{"VI":675},[],{"title":691},{"VI":692},"Girirajsinh C. Jadeja",{"url":663,"publisher":694,"properties":736},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":695,"slug":10,"properties":696,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":700,"manageAffiliations":705,"indexDatabases":716,"url":22,"thumbnailPath":22,"statistic":731,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":697,"title":698,"eissn":699},{"VOID":15},{"EN":17},{"VOID":13},[701],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":702,"label":703,"description":704,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[706,711],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":707,"slug":22,"properties":708,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":710,"statistic":22},[],{"title":709},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":712,"slug":22,"properties":713,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":715,"statistic":22},[],{"title":714},{"EN":45},[39],[717,724],{"id":49,"indexDatabase":718,"url":60,"indexYears":61,"academicFieldIds":723,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":719,"label":720,"description":721,"key":57,"publicationTags":722,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":725,"url":79,"indexYears":22,"academicFieldIds":730,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":726,"label":727,"description":728,"key":75,"publicationTags":729,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":732,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":733,"totalCitation":23,"totalCitationByYear":734,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":735,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"pages":737},{"VOID":546},"2023-01-24",[64,77],{"id":741,"createTime":742,"updateTime":743,"relativeEntities":744,"slug":745,"properties":746,"entityType":110,"verifyStatus":248,"verifyTime":756,"verifyNote":250,"languages":757,"translateLanguages":759,"viewCount":23,"primaryUrl":760,"fullTextUrl":22,"authors":761,"publicationType":181,"publisherRelationship":849,"citationCount":23,"citationInfo":892,"publishDate":22,"publishYear":22,"citationAnalyzeStatus":21,"lastCitationAnalyze":22,"indexDatabases":894,"openAccess":22,"references":895,"isForceReanalyzing":231},"261adf44-512c-447d-9320-292fd96bd94b","2024-04-21T23:33:43.885+00:00","2026-09-05T09:21:40.933+00:00",[],"Evaluation-of-different-fractionation-methods-for-the-simultaneous-protein-and-carbohydrate-extraction-from-microalgae",{"openalex":747,"abstract":749,"title":751,"doi":754},{"VOID":748},"W4391006523",{"EN":750},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>The production of high-value products from microalgae, one of the preferred emerging biorefineries’ feedstocks, relies on the crucial step of biomass fractionation. In this work, the fractionation of \u003Cjats:italic>Chlorella vulgaris\u003C\u002Fjats:italic> and \u003Cjats:italic>Scenedesmus obliquus\u003C\u002Fjats:italic> biomass was tested for protein extraction using a wide range of physical, chemical, and enzymatic treatment combinations, including ultrasound, cell homogenizer, cellulase, and alcalase combinations in aqueous and alkali extraction conditions. The impact of these processes on biomass carbohydrates was also evaluated. Alkaline-assisted ultrasound treatments using alcalase presented the highest protein extraction yield, reaching 90 g\u002F100 g protein on \u003Cjats:italic>C. vulgaris\u003C\u002Fjats:italic>, closely followed by the same treatment in aqueous conditions (85 g\u002F100 g protein). The same aqueous treatment achieved the best performance on \u003Cjats:italic>S. obliquus\u003C\u002Fjats:italic>, reaching 82 g\u002F100 g protein. All treatments on both microalgae partially solubilized the polysaccharide fraction with all alkaline treatments solubilizing over 50 g\u002F100 g sugars for all conditions. Overall, all the treatments applied were effective methods for biomass fractionation, although they showed low selectivity regarding the individual extraction of protein or carbohydrates.\u003C\u002Fjats:p>",{"EN":752,"VI":753},"Evaluation of different fractionation methods for the simultaneous protein and carbohydrate extraction from microalgae","Đánh giá các phương pháp phân đoạn khác nhau nhằm chiết tách đồng thời protein và carbohydrate từ vi tảo",{"VOID":755},"10.1007\u002Fs13399-024-05279-w","2024-12-31T21:11:05.863+00:00",[758],"EN",[112],"https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs13399-024-05279-w",[762,779,796,815,832],{"id":763,"sortIndex":23,"researcher":22,"roles":764,"affiliations":765,"properties":774,"displayName":776,"givenName":22,"familyName":22},"1a9985a7-eddb-498d-9adf-eb6099fac9c6",[],[766],{"id":767,"sortIndex":23,"affiliation":768,"properties":22},"1bb2de7d-57b2-4049-854d-3f3b57456cc8",{"id":767,"createTime":22,"updateTime":22,"relativeEntities":769,"slug":22,"properties":770,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":773,"statistic":22},[],{"title":771},{"EN":772},"Unidade de Bioenergia e Biorrefinarias, LNEG - Laboratório Nacional de Energia e Geologia, Estrada do Paço do Lumiar, 22, 1649-038, Lisbon, Portugal",[],{"title":775,"openalex":777},{"EN":776},"Pedro L. Martins",{"VOID":778},"A5091149012",{"id":780,"sortIndex":85,"researcher":22,"roles":781,"affiliations":782,"properties":789,"displayName":793,"givenName":22,"familyName":22},"f7ee34d2-fc84-44d9-a608-edf12c94e7aa",[],[783],{"id":767,"sortIndex":23,"affiliation":784,"properties":22},{"id":767,"createTime":22,"updateTime":22,"relativeEntities":785,"slug":22,"properties":786,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":788,"statistic":22},[],{"title":787},{"EN":772},[],{"orcid":790,"title":792,"openalex":794},{"VOID":791},"https:\u002F\u002Forcid.org\u002F0000-0001-5820-3669",{"EN":793},"Luís C. Duarte",{"VOID":795},"A5010963822",{"id":797,"sortIndex":155,"researcher":22,"roles":798,"affiliations":799,"properties":808,"displayName":812,"givenName":22,"familyName":22},"eeb4d71a-b144-45db-8fdc-e6088d07c3bb",[],[800],{"id":801,"sortIndex":23,"affiliation":802,"properties":22},"ad9a91fb-dcbf-4738-9e60-7a1a8a79fde6",{"id":801,"createTime":22,"updateTime":22,"relativeEntities":803,"slug":22,"properties":804,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":807,"statistic":22},[],{"title":805},{"EN":806},"Centro de Estudos Florestais, Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017, Lisbon, Portugal",[],{"orcid":809,"title":811,"openalex":813},{"VOID":810},"https:\u002F\u002Forcid.org\u002F0000-0002-5393-4443",{"EN":812},"Helena Pereira",{"VOID":814},"A5066735906",{"id":816,"sortIndex":169,"researcher":22,"roles":817,"affiliations":818,"properties":825,"displayName":829,"givenName":22,"familyName":22},"f5f3e503-8455-44da-b0d8-bd65de723ccc",[],[819],{"id":767,"sortIndex":23,"affiliation":820,"properties":22},{"id":767,"createTime":22,"updateTime":22,"relativeEntities":821,"slug":22,"properties":822,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":824,"statistic":22},[],{"title":823},{"EN":772},[],{"orcid":826,"title":828,"openalex":830},{"VOID":827},"https:\u002F\u002Forcid.org\u002F0000-0003-2726-8763",{"EN":829},"Alberto Reis",{"VOID":831},"A5082587482",{"id":833,"sortIndex":313,"researcher":22,"roles":834,"affiliations":835,"properties":842,"displayName":846,"givenName":22,"familyName":22},"2e70d5d6-8b4b-419f-9041-11382a36bdb6",[],[836],{"id":767,"sortIndex":23,"affiliation":837,"properties":22},{"id":767,"createTime":22,"updateTime":22,"relativeEntities":838,"slug":22,"properties":839,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":841,"statistic":22},[],{"title":840},{"EN":772},[],{"orcid":843,"title":845,"openalex":847},{"VOID":844},"https:\u002F\u002Forcid.org\u002F0000-0002-0270-4832",{"EN":846},"Florbela Carvalheiro",{"VOID":848},"A5066442014",{"url":22,"publisher":850,"properties":22},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":851,"slug":10,"properties":852,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":856,"manageAffiliations":861,"indexDatabases":872,"url":22,"thumbnailPath":22,"statistic":887,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":853,"title":854,"eissn":855},{"VOID":15},{"EN":17},{"VOID":13},[857],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":858,"label":859,"description":860,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[862,867],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":863,"slug":22,"properties":864,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":866,"statistic":22},[],{"title":865},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":868,"slug":22,"properties":869,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":871,"statistic":22},[],{"title":870},{"EN":45},[39],[873,880],{"id":49,"indexDatabase":874,"url":60,"indexYears":61,"academicFieldIds":879,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":875,"label":876,"description":877,"key":57,"publicationTags":878,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":881,"url":79,"indexYears":22,"academicFieldIds":886,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":882,"label":883,"description":884,"key":75,"publicationTags":885,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":888,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":889,"totalCitation":23,"totalCitationByYear":890,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":891,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"total":23,"publishYear":22,"statisticByYear":893},{},[],[896,900,904,908,912,916,920,924,928,931,935,939,943,946,950,954,958,962,966,970,974,978,982,986,990,994,998,1002,1006,1010,1014,1018,1022,1026,1030,1034,1038,1042,1046,1050,1053,1056,1059,1062,1065,1068,1072,1076,1080,1084,1088,1092,1096,1100,1104,1107,1111,1115,1119,1123,1127,1131,1135,1139,1143,1147,1151,1155,1159,1163,1167,1171,1175],{"id":22,"text":897,"url":22,"identifiers":898},"Zhang S, Zhang L, Xu G, Li F, Li X (2022) A review on biodiesel production from microalgae: influencing parameters and recent advanced technologies. Front Microbiol 13:970028. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffmicb.2022.970028",{"doi":899},"10.3389\u002Ffmicb.2022.970028",{"id":22,"text":901,"url":22,"identifiers":902},"Dolganyuk V, Belova D, Babich O, Prosekov A, Ivanova S, Katserov D, Patyukov N, Sukhikh S (2020) Microalgae: a promising source of valuable bioproducts. Biomolecules 10(8). https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbiom10081153",{"doi":903},"10.3390\u002Fbiom10081153",{"id":22,"text":905,"url":22,"identifiers":906},"Sirotiya V, Ahirwar A, Mourya M, Khan MJ, Rai A, Kwatra R, Sharma AK, Harish Schoefs B, Marchand J et al (2022) Astaxanthin bioaccumulation in microalgae under environmental stress simulated in industrial effluents highlighting prospects of Haematococcus pluvialis: knowledge gaps and prospective approaches. Phytochem Rev 22(4):1041–1066. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11101-022-09807-2",{"doi":907},"10.1007\u002Fs11101-022-09807-2",{"id":22,"text":909,"url":22,"identifiers":910},"Nair A, Ahirwar A, Singh S, Lodhi R, Lodhi A, Rai A, Jadhav DA, Harish Varjani S, Singh G et al (2023) Astaxanthin as a king of ketocarotenoids: structure, synthesis, accumulation, bioavailability and antioxidant properties. Mar Drugs 21(3). https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmd21030176",{"doi":911},"10.3390\u002Fmd21030176",{"id":22,"text":913,"url":22,"identifiers":914},"Sarkar S, Manna MS, Bhowmick TK, Gayen K (2020) Extraction of chlorophylls and carotenoids from dry and wet biomass of isolated Chlorella Thermophila: optimization of process parameters and modelling by artificial neural network. Process Biochem 96:58–72. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.procbio.2020.05.025",{"doi":915},"10.1016\u002Fj.procbio.2020.05.025",{"id":22,"text":917,"url":22,"identifiers":918},"Wang Y, Tibbetts SM, McGinn PJ (2021) Microalgae as sources of high-quality protein for human food and protein supplements. Foods 10(12). https:\u002F\u002Fdoi.org\u002F10.3390\u002Ffoods10123002",{"doi":919},"10.3390\u002Ffoods10123002",{"id":22,"text":921,"url":22,"identifiers":922},"Geada P, Moreira C, Silva M, Nunes R, Madureira L, Rocha CMR, Pereira RN, Vicente AA, Teixeira JA (2021) Algal proteins: production strategies and nutritional and functional properties. Bioresour Technol 332:125125. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biortech.2021.125125",{"doi":923},"10.1016\u002Fj.biortech.2021.125125",{"id":22,"text":925,"url":22,"identifiers":926},"Ramesh Kumar B, Deviram G, Mathimani T, Duc PA, Pugazhendhi A (2019) Microalgae as rich source of polyunsaturated fatty acids. Biocatal Agric Biotechnol 17:583–588. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.bcab.2019.01.017",{"doi":927},"10.1016\u002Fj.bcab.2019.01.017",{"id":22,"text":929,"url":22,"identifiers":930},"Towards a Strong and Sustainable EU Algae Sector (2022) Opinion of the European Economic and Social Committee on the communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee, and the Committee of the Regions, COM\u002F2022\u002F592, Official Journal of the European Union, C 228\u002F126",{},{"id":22,"text":932,"url":22,"identifiers":933},"Onen Cinar S, Chong ZK, Kucuker MA, Wieczorek N, Cengiz U, Kuchta K (2020) Bioplastic production from microalgae: a review. Int J Environ Res Public Health 17(11). https:\u002F\u002Fdoi.org\u002F10.3390\u002Fijerph17113842",{"doi":934},"10.3390\u002Fijerph17113842",{"id":22,"text":936,"url":22,"identifiers":937},"Koyande AK, Chew KW, Rambabu K, Tao Y, Chu DT, Show PL (2019) Microalgae: a potential alternative to health supplementation for humans. Food Sci Hum Wellness 8(1):16–24. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.fshw.2019.03.001",{"doi":938},"10.1016\u002Fj.fshw.2019.03.001",{"id":22,"text":940,"url":22,"identifiers":941},"Onyeaka H, Miri T, Obileke K, Hart A, Anumudu C, Al-Sharify ZT (2021) Minimizing carbon footprint via microalgae as a biological capture. Carbon Capture Sci Technol 1:100007. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ccst.2021.100007",{"doi":942},"10.1016\u002Fj.ccst.2021.100007",{"id":22,"text":944,"url":22,"identifiers":945},"Kuech A, Breuer M, Popescu I (2023) Research for PECH Committee – The future of the EU algae sector, European Parliament, Policy Department for Structural and Cohesion Policies, Brussels. https:\u002F\u002Fbit.ly\u002F3ZszAt2",{},{"id":22,"text":947,"url":22,"identifiers":948},"Foley PM, Beach ES, Zimmerman JB (2011) Algae as a source of renewable chemicals: opportunities and challenges. Green Chem 13(6):1399. https:\u002F\u002Fdoi.org\u002F10.1039\u002Fc1gc00015b",{"doi":949},"10.1039\u002Fc1gc00015b",{"id":22,"text":951,"url":22,"identifiers":952},"Yang L, Chen J, Qin S, Zeng M, Jiang Y, Hu L, Xiao P, Hao W, Hu Z, Lei A et al (2018) Growth and lipid accumulation by different nutrients in the microalga Chlamydomonas reinhardtii. Biotechnol Biofuels 11:40. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs13068-018-1041-z",{"doi":953},"10.1186\u002Fs13068-018-1041-z",{"id":22,"text":955,"url":22,"identifiers":956},"Mourya M, Khan MJ, Ahirwar A, Schoefs B, Marchand J, Rai A, Varjani S, Rajendran K, Banu JR, Vinayak V (2022) Latest trends and developments in microalgae as potential source for biofuels: the case of diatoms. Fuel 314:122738. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.fuel.2021.122738",{"doi":957},"10.1016\u002Fj.fuel.2021.122738",{"id":22,"text":959,"url":22,"identifiers":960},"Srimongkol P, Sangtanoo P, Songserm P, Watsuntorn W, Karnchanatat A (2022) Microalgae-based wastewater treatment for developing economic and environmental sustainability: current status and future prospects. Front Bioeng Biotechnol 10:904046. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffbioe.2022.904046",{"doi":961},"10.3389\u002Ffbioe.2022.904046",{"id":22,"text":963,"url":22,"identifiers":964},"Kashyap M, Chakraborty S, Kumari A, Rai A, Varjani S, Vinayak V (2023) Strategies and challenges to enhance commercial viability of algal biorefineries for biofuel production. Bioresour Technol 387:129551. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biortech.2023.129551",{"doi":965},"10.1016\u002Fj.biortech.2023.129551",{"id":22,"text":967,"url":22,"identifiers":968},"Sutherland DL, Ralph PJ (2019) Microalgal bioremediation of emerging contaminants - opportunities and challenges. Water Res 164:114921. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.watres.2019.114921",{"doi":969},"10.1016\u002Fj.watres.2019.114921",{"id":22,"text":971,"url":22,"identifiers":972},"Moldes D, Rojo EM, Bolado S, Garcia-Encina PA, Comesaña-Gándara B (2022) Biodegradable solvents: a promising tool to recover proteins from microalgae. Appl Sci 12(2391):1–18. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp12052391",{"doi":973},"10.3390\u002Fapp12052391",{"id":22,"text":975,"url":22,"identifiers":976},"Waghmare AG, Salve MK, LeBlanc JG, Arya SS (2016) Concentration and characterization of microalgae proteins from Chlorella pyrenoidosa. Biores Bioproc 3(1). https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs40643-016-0094-8",{"doi":977},"10.1186\u002Fs40643-016-0094-8",{"id":22,"text":979,"url":22,"identifiers":980},"Safi C, Frances C, Ursu AV, Laroche C, Pouzet C, Vaca-Garcia C, Pontalier P (2015) Understanding the effect of cell disruption methods on the diffusion of Chlorella vulgaris proteins and pigments in the aqueous phase. Algal Res 8:61–68. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.algal.2015.01.002",{"doi":981},"10.1016\u002Fj.algal.2015.01.002",{"id":22,"text":983,"url":22,"identifiers":984},"Phong WN, Le CF, Show PL, Lam HL, Ling TC (2016) Evaluation of different solvent types on the extraction of proteins from microalgae. Chem Eng Trans 52:1063–1068. https:\u002F\u002Fdoi.org\u002F10.3303\u002FCET1652178",{"doi":985},"10.3303\u002FCET1652178",{"id":22,"text":987,"url":22,"identifiers":988},"Lam MK, Lee KT (2015) Bioethanol production from microalgae. In: Kim S-K (ed) Handbook of marine microalgae. Elsevier Inc., pp 197–208",{"doi":989},"10.1016\u002FB978-0-12-800776-1.00012-1",{"id":22,"text":991,"url":22,"identifiers":992},"Alhattab M, Kermanshahi-Pour A, Brooks MS (2018) Microalgae disruption techniques for product recovery: influence of cell wall composition. J Appl Phycol 31(1):61–88. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10811-018-1560-9",{"doi":993},"10.1007\u002Fs10811-018-1560-9",{"id":22,"text":995,"url":22,"identifiers":996},"Bleakley S, Hayes M (2017) Algal proteins: extraction, application, and challenges concerning production. Foods 6(5). https:\u002F\u002Fdoi.org\u002F10.3390\u002Ffoods6050033",{"doi":997},"10.3390\u002Ffoods6050033",{"id":22,"text":999,"url":22,"identifiers":1000},"Espinosa-Ramirez J, Mondragon-Portocarrero AC, Rodriguez JA, Lorenzo JM, Santos EM (2023) Algae as a potential source of protein meat alternatives. Front Nutr 10:1254300. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffnut.2023.1254300",{"doi":1001},"10.3389\u002Ffnut.2023.1254300",{"id":22,"text":1003,"url":22,"identifiers":1004},"de Souza Celente G, Sui Y, Acharya P (2023) Seaweed as an alternative protein source: prospective protein extraction technologies. Innov Food Sci Emerg Technol 86:103374. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ifset.2023.103374",{"doi":1005},"10.1016\u002Fj.ifset.2023.103374",{"id":22,"text":1007,"url":22,"identifiers":1008},"Parimi NS, Singh M, Kastner JR, Das KC, Forsberg LS, Azadi P (2015) Optimization of protein extraction from Spirulina platensis to generate a potential co-product and a biofuel feedstock with reduced nitrogen content. Front Energy Res 3. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffenrg.2015.00030",{"doi":1009},"10.3389\u002Ffenrg.2015.00030",{"id":22,"text":1011,"url":22,"identifiers":1012},"D’Hondt E, Martín-Juárez J, Bolado S, Kasperoviciene J, Koreiviene J, Sulcius S, Elst K, Bastiaens L (2017) Cell disruption technologies. In: Cristina Gonzalez-Fernandez RM (ed) Microalgae-based biofuels and bioproducts. Elsevier Inc., pp 133–154",{"doi":1013},"10.1016\u002FB978-0-08-101023-5.00006-6",{"id":22,"text":1015,"url":22,"identifiers":1016},"Ahirwar A, Meignen G, Khan MJ, Khan N, Rai A, Schoefs B, Marchand J, Varjani S, Vinayak V (2021) Nanotechnological approaches to disrupt the rigid cell walled microalgae grown in wastewater for value-added biocompounds: commercial applications, challenges, and breakthrough. Biomass Convers Biorefin 13(15):13309–13334. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13399-021-01965-1",{"doi":1017},"10.1007\u002Fs13399-021-01965-1",{"id":22,"text":1019,"url":22,"identifiers":1020},"Mendes-Pinto MM, Raposo MFJ, Bowen J, Young AJ, Morais R (2001) Evaluation of different cell disruption process on encysted cells of Haematococcus pluvialis. J App Phycol 13:19–24. https:\u002F\u002Fdoi.org\u002F10.1023\u002FA:1008183429747",{"doi":1021},"10.1023\u002FA:1008183429747",{"id":22,"text":1023,"url":22,"identifiers":1024},"Liu Y, Liu X, Cui Y, Yuan W (2022) Ultrasound for microalgal cell disruption and product extraction: a review. Ultrason Sonochem 87:106054. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ultsonch.2022.106054",{"doi":1025},"10.1016\u002Fj.ultsonch.2022.106054",{"id":22,"text":1027,"url":22,"identifiers":1028},"Safi C, Ursu AV, Laroche C, Zebib B, Merah O, Pontalier P, Vaca-Garcia C (2014) Aqueous extraction of proteins from microalgae: effect of different cell disruption methods. Algal Res 3:61–65. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.algal.2013.12.004",{"doi":1029},"10.1016\u002Fj.algal.2013.12.004",{"id":22,"text":1031,"url":22,"identifiers":1032},"Kapoore RV, Butler TO, Pandhal J, Vaidyanathan S (2018) Microwave-assisted extraction for microalgae: from biofuels to biorefinery. Biology (Basel) 7(1). https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbiology7010018",{"doi":1033},"10.3390\u002Fbiology7010018",{"id":22,"text":1035,"url":22,"identifiers":1036},"Bernaerts TMM, Gheysen L, Foubert I, Hendrickx ME, Van Loey AM (2019) Evaluating microalgal cell disruption upon ultra high pressure homogenization. Algal Res 42:101616. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.algal.2019.101616",{"doi":1037},"10.1016\u002Fj.algal.2019.101616",{"id":22,"text":1039,"url":22,"identifiers":1040},"Al-Zuhair S, Ashraf S, Hisaindee S, Darmaki NA, Battah S, Svistunenko D, Reeder B, Stanway G, Chaudhary A (2017) Enzymatic pre-treatment of microalgae cells for enhanced extraction of proteins. Eng Life Sci 17(2):175–185. https:\u002F\u002Fdoi.org\u002F10.1002\u002Felsc.201600127",{"doi":1041},"10.1002\u002Felsc.201600127",{"id":22,"text":1043,"url":22,"identifiers":1044},"Chiong T, Acquah C, Lau SY, Khor EH, Danquah MK (2016) Microalgal-based protein by-products: extraction, purification, and applications. In: Dhillon GS (ed) Protein Byproducts. Elsevier Inc., pp 213–234",{"doi":1045},"10.1016\u002FB978-0-12-802391-4.00012-4",{"id":22,"text":1047,"url":22,"identifiers":1048},"Martins PL, Reis A, Duarte LC, Carvalheiro F (2022) Effective fractionation of microalgae biomass as an initial step for its utilization as a bioenergy feedstock. Energy Convers Manag: X 16:100317. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecmx.2022.100317",{"doi":1049},"10.1016\u002Fj.ecmx.2022.100317",{"id":22,"text":1051,"url":22,"identifiers":1052},"Buchanan M (2007) Solvent extractives of wood and pulp (proposed revision of T 204 cm-97). Tappi Press, Atlanta, GA",{},{"id":22,"text":1054,"url":22,"identifiers":1055},"Sluiter A, Ruiz R, Scarlata C, Sluiter J, Templeton D (2008) Determination of extractives in biomass. (NREL\u002FTP-510-42619). National Renewable Energy Laboratory, Golden, CO",{},{"id":22,"text":1057,"url":22,"identifiers":1058},"Sluiter A, Hames B, Ruiz R, Scarlata C, Sluiter J, Templeton D (2008) Determination of ash in biomass. In: Laboratory analytical procedure (LAP). (NREL\u002FTP-510-42622). National Renewable Energy Laboratory, Golden, CO",{},{"id":22,"text":1060,"url":22,"identifiers":1061},"AOAC (1975) AOAC Official Methods of Analysis - \"Total protein nitrogen: evaluation and comparison of four different methods\". AOAC international, Washington D.C",{},{"id":22,"text":1063,"url":22,"identifiers":1064},"Laurens LML (2015) Summative mass analysis of algal biomass – Integration of analytical procedures. (NREL\u002FTP-5100-60943). National Renewable Energy Laboratory, Golden, CO",{},{"id":22,"text":1066,"url":22,"identifiers":1067},"Wychen SV, Laurens LML (2015) Determination of total carbohydrates in algal biomass. (NREL\u002FTP-5100-60957). National Renewable Energy Laboratory, Golden, CO",{},{"id":22,"text":1069,"url":22,"identifiers":1070},"Branco PC, Dionísio AM, Torrado I, Carvalheiro F, Castilho PC, Duarte LC (2015) Autohydrolysis of Annona cherimola mill. seeds: optimization, modeling and products characterization. Biochem Eng J 104(12):2–9. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.bej.2015.06.006",{"doi":1071},"10.1016\u002Fj.bej.2015.06.006",{"id":22,"text":1073,"url":22,"identifiers":1074},"Ursu AV, Marcati A, Sayd T, Sante-Lhoutellier V, Djelveh G, Michaud P (2014) Extraction, fractionation and functional properties of proteins from the microalgae Chlorella vulgaris. Bioresour Technol 157:134–139. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biortech.2014.01.071",{"doi":1075},"10.1016\u002Fj.biortech.2014.01.071",{"id":22,"text":1077,"url":22,"identifiers":1078},"Barka A, Blecker C (2016) Microalgae as a potential source of single-cell proteins. A review. Biotechnol Agron Soc Environ 20(3):427–436. https:\u002F\u002Fdoi.org\u002F10.25518\u002F1780-4507.13132",{"doi":1079},"10.25518\u002F1780-4507.13132",{"id":22,"text":1081,"url":22,"identifiers":1082},"Lardon L, Helias A, Sialve B, Steyer JP, Bernard O (2009) Life-cycle assessment of biodiesel production from microalgae. Environ Sci Technol 43(17):6475–6481. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fes900705j",{"doi":1083},"10.1021\u002Fes900705j",{"id":22,"text":1085,"url":22,"identifiers":1086},"Fajardo AR, Cerdán LE, Medina AR, Fernández FGA, Moreno PAG, Grima EM (2007) Lipid extraction from the microalga Phaeodactylum tricornutum. Eur J Lipid Sci Technol 109(2):120–126. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fejlt.200600216",{"doi":1087},"10.1002\u002Fejlt.200600216",{"id":22,"text":1089,"url":22,"identifiers":1090},"Yang F, Cheng C, Long L, Hu Q, Jia Q, Wu H, Xiang W (2015) Extracting lipids from several species of wet microalgae using ethanol at room temperature. Energy Fuels 29(4):2380–2386. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fef5023576",{"doi":1091},"10.1021\u002Fef5023576",{"id":22,"text":1093,"url":22,"identifiers":1094},"Sriariyanun M, Show PL, Chew KW, Khoo KS, Tawai A, Cheng Y, Bhattacharyya D, Rodiahwati W, Panakkal EJ (2022) Effective solvents for proteins recovery from microalgae. E3S Web of Conferences 355:02009. https:\u002F\u002Fdoi.org\u002F10.1051\u002Fe3sconf\u002F202235502009",{"doi":1095},"10.1051\u002Fe3sconf\u002F202235502009",{"id":22,"text":1097,"url":22,"identifiers":1098},"Nikolaidis A, Andreadis M, Moschakis T (2017) Effect of heat, pH, ultrasonication and ethanol on the denaturation of whey protein isolate using a newly developed approach in the analysis of difference-UV spectra. Food Chem 232:425–433. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2017.04.022",{"doi":1099},"10.1016\u002Fj.foodchem.2017.04.022",{"id":22,"text":1101,"url":22,"identifiers":1102},"Noreen A, Mahmood S, Aziz I, Takriff MS (2021) Microalgae as potential protein sources: evidence from protein extraction and amino acid profiling of Chlorella vulgaris and Scenedesmus SP. Pak J Agric Res 53(3):821–829. https:\u002F\u002Fdoi.org\u002F10.21162\u002FPAKJAS\u002F21.511",{"doi":1103},"10.21162\u002FPAKJAS\u002F21.511",{"id":22,"text":1105,"url":22,"identifiers":1106},"Pereira H (2019) Biotechnological applications of a promising marine chlorophyte (Tetraselmis sp. CTP4): a biorefinery approach. PhD thesis, Universidade do Algarve, Portugal",{},{"id":22,"text":1108,"url":22,"identifiers":1109},"Taucher J, Baer S, Schwerna P, Hofmann D, Hümmer M, Buchholz R, Becker A (2016) Cell disruption and pressurized liquid extraction of carotenoids from microalgae. Microalgae J Thermodyn Catal 7(158):1–7. https:\u002F\u002Fdoi.org\u002F10.4172\u002F2158-7544.1000158",{"doi":1110},"10.4172\u002F2158-7544.1000158",{"id":22,"text":1112,"url":22,"identifiers":1113},"Azencott HR, Peter GF, Prausnitz MR (2007) Influence of the cell wall on intracellular delivery to algal cells by electroporation and sonication. Ultrasound Med Biol 33(11):1805–1817. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ultrasmedbio.2007.05.008",{"doi":1114},"10.1016\u002Fj.ultrasmedbio.2007.05.008",{"id":22,"text":1116,"url":22,"identifiers":1117},"Mercer P, Armenta RE (2011) Developments in oil extraction from microalgae. Eur J Lipid Sci Technol 113(5):539–547. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fejlt.201000455",{"doi":1118},"10.1002\u002Fejlt.201000455",{"id":22,"text":1120,"url":22,"identifiers":1121},"Soto-Sierra L, Stoykova P, Nikolov ZL (2018) Extraction and fractionation of microalgae-based protein products. Algal Res 36:175–192. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.algal.2018.10.023",{"doi":1122},"10.1016\u002Fj.algal.2018.10.023",{"id":22,"text":1124,"url":22,"identifiers":1125},"Rashidi B, Trindade LM (2018) Detailed biochemical and morphologic characteristics of the green microalga Neochloris oleoabundans cell wall. Algal Res 35:152–159. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.algal.2018.08.033",{"doi":1126},"10.1016\u002Fj.algal.2018.08.033",{"id":22,"text":1128,"url":22,"identifiers":1129},"Sierra LS, Dixon CK, Wilken LR (2017) Enzymatic cell disruption of the microalgae Chlamydomonas reinhardtii for lipid and protein extraction. Algal Res 25:149–159. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.algal.2017.04.004",{"doi":1130},"10.1016\u002Fj.algal.2017.04.004",{"id":22,"text":1132,"url":22,"identifiers":1133},"Sari YW, Sanders JPM, Bruins ME (2016) Techno-economical evaluation of protein extraction for microalgae biorefinery. IOP Conf Series: Earth Environ Sci 31:012034. https:\u002F\u002Fdoi.org\u002F10.1088\u002F1755-1315\u002F31\u002F1\u002F012034",{"doi":1134},"10.1088\u002F1755-1315\u002F31\u002F1\u002F012034",{"id":22,"text":1136,"url":22,"identifiers":1137},"Gifuni I, Lavenant L, Pruvost J, Masse A (2020) Recovery of microalgal protein by three-steps membrane filtration: advancements and feasibility. Algal Res 51:102082. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.algal.2020.102082",{"doi":1138},"10.1016\u002Fj.algal.2020.102082",{"id":22,"text":1140,"url":22,"identifiers":1141},"Duong-Ly KC, Gabelli SB (2014) Salting out of proteins using ammonium sulfate precipitation. Methods Enzymol 541:85–94. https:\u002F\u002Fdoi.org\u002F10.1016\u002FB978-0-12-420119-4.00007-0",{"doi":1142},"10.1016\u002FB978-0-12-420119-4.00007-0",{"id":22,"text":1144,"url":22,"identifiers":1145},"Vilg JV, Undeland I (2017) pH-driven solubilization and isoelectric precipitation of proteins from the brown seaweed Saccharina latissima-effects of osmotic shock, water volume and temperature. J Appl Phycol 29(1):585–593. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10811-016-0957-6",{"doi":1146},"10.1007\u002Fs10811-016-0957-6",{"id":22,"text":1148,"url":22,"identifiers":1149},"Chen Y, Stevens MA, Zhu Y, Holmes J, Xu H (2013) Understanding of alkaline pretreatment parameters for corn stover enzymatic saccharification. Biotechnol Biofuels 6(8):2–11. https:\u002F\u002Fdoi.org\u002F10.1186\u002F1754-6834-6-8",{"doi":1150},"10.1186\u002F1754-6834-6-8",{"id":22,"text":1152,"url":22,"identifiers":1153},"Mahdy A, Mendez L, Ballesteros M, González-Fernández C (2014) Autohydrolysis and alkaline pretreatment effect on Chlorella vulgaris and Scenedesmus sp. methane production. Energy 78:48–52. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2014.05.052",{"doi":1154},"10.1016\u002Fj.energy.2014.05.052",{"id":22,"text":1156,"url":22,"identifiers":1157},"Teh YY, Lee KT, Chen WH, Lin SC, Sheen HK, Tan IS (2017) Dilute sulfuric acid hydrolysis of red macroalgae Eucheuma denticulatum with microwave-assisted heating for biochar production and sugar recovery. Bioresour Technol 246:20–27. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biortech.2017.07.101",{"doi":1158},"10.1016\u002Fj.biortech.2017.07.101",{"id":22,"text":1160,"url":22,"identifiers":1161},"Ben Yahmed N, Berrejeb N, Jmel MA, Jazzar S, Marzouki MN, Smaali I (2018) Efficient biocatalytic conversion of stranded green macroalgal biomass using a specific cellulases-based cocktail. Waste Biomass Valor 11(1):211–222. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12649-018-0397-4",{"doi":1162},"10.1007\u002Fs12649-018-0397-4",{"id":22,"text":1164,"url":22,"identifiers":1165},"Poulhazan A, Dickwella Widanage MC, Muszynski A, Arnold AA, Warschawski DE, Azadi P, Marcotte I, Wang T (2021) Identification and quantification of glycans in whole cells: architecture of microalgal polysaccharides described by solid-state nuclear magnetic resonance. J Am Chem Soc 143(46):19374–19388. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fjacs.1c07429",{"doi":1166},"10.1021\u002Fjacs.1c07429",{"id":22,"text":1168,"url":22,"identifiers":1169},"Flores EMM, Cravotto G, Bizzi CA, Santos D, Iop GD (2021) Ultrasound-assisted biomass valorization to industrial interesting products: state-of-the-art, perspectives and challenges. Ultrason Sonochem 72:105455. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ultsonch.2020.105455",{"doi":1170},"10.1016\u002Fj.ultsonch.2020.105455",{"id":22,"text":1172,"url":22,"identifiers":1173},"Chanda MJ, Merghoub N, El Arroussi H (2019) Microalgae polysaccharides: the new sustainable bioactive products for the development of plant bio-stimulants? World J Microbiol Biotechnol 35(11):177. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11274-019-2745-3",{"doi":1174},"10.1007\u002Fs11274-019-2745-3",{"id":22,"text":1176,"url":22,"identifiers":1177},"Karan H, de Boeck R, Roles J, Hankamer B, Ross IL (2019) Hydrothermal pre-treatment coupled with urea solubilisation enables efficient protein extraction from microalgae. Green Chem 21(23):6361–6371. https:\u002F\u002Fdoi.org\u002F10.1039\u002Fc9gc03120k",{"doi":1178},"10.1039\u002Fc9gc03120k",{"id":1180,"createTime":1181,"updateTime":1182,"relativeEntities":1183,"slug":1184,"properties":1185,"entityType":110,"verifyStatus":248,"verifyTime":1195,"verifyNote":250,"languages":1196,"translateLanguages":1197,"viewCount":23,"primaryUrl":1198,"fullTextUrl":22,"authors":1199,"publicationType":181,"publisherRelationship":1268,"citationCount":23,"citationInfo":1311,"publishDate":22,"publishYear":22,"citationAnalyzeStatus":21,"lastCitationAnalyze":22,"indexDatabases":1313,"openAccess":22,"references":1314,"isForceReanalyzing":231},"efc877a2-5fb5-49be-8a11-e55bbf865cbd","2024-04-20T19:16:01.790+00:00","2026-09-05T07:11:09.035+00:00",[],"Arthrospira-platensis-nanoparticle-based-approach-for-efficient-removal-of-methyl-orange-dye-from-aqueous-solutions-isotherm-kinetic-and-thermodynamic-analysis",{"openalex":1186,"abstract":1188,"title":1190,"doi":1193},{"VOID":1187},"W4387576123",{"EN":1189},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>Blue-green algae \u003Cjats:italic>Arthrospira platensis\u003C\u002Fjats:italic>, strain NIOF 17\u002F003, is an ecologically friendly were tested as adsorbents for the removal of methyl orange dye (MO) from aqueous solution. The surface deposition of\u003Cjats:italic> A. platensis\u003C\u002Fjats:italic> was investigated utilizing a variety of techniques, including Fourier-transform infrared spectroscopy (FT-IR), Brunauer–Emmett–Teller (BET), and scanning electron microscopy (SEM). FTIR analysis demonstrated the contribution of carbonyl and carboxylic groups to MO dye adsorption. Different initial concentrations of MO dye (5–30 mg L\u003Cjats:sup>–1\u003C\u002Fjats:sup>) at contact time (5–180 min.), adsorbent doses (0.05–0.4 g), temperature (20–60 °C), and pH (1–11) were conducted in batch conditions. The results revealed that MO sorption in aqueous solutions increased with contact time and concentration. Temperature also affects MO adsorption. The elimination of MO from the solution augmented as the mass of \u003Cjats:italic>A. platensis\u003C\u002Fjats:italic> increased. The maximum MO dye sorption onto \u003Cjats:italic>A. platensis\u003C\u002Fjats:italic> was achieved at 15 mg L\u003Cjats:sup>−1\u003C\u002Fjats:sup>, 20 °C, 0.4 g, pH 1, for 30 min. A significant quantity of dye can be removed with just 0.1 g of \u003Cjats:italic>A. platensis\u003C\u002Fjats:italic>, with a removal efficiency of 18.1% and 28.35% for seawater and real wastewater, respectively. Many isotherm equations were used to analyze the experimental results (including Freundlich, Langmuir, Dubinin-Radushkevich, and Temkin models). The maximum adsorption capacity of MO onto \u003Cjats:italic>A. platensis\u003C\u002Fjats:italic> was 156.25 mg g\u003Cjats:sup>−1\u003C\u002Fjats:sup>. The fractionary-order kinetic model provided the best fit to experimental data compared with other models. Moreover, the thermodynamic parameters of ΔH° and ΔG° factors showed exothermic as well as spontaneous sorption processes. Additionally, \u003Cjats:italic>A. platensis\u003C\u002Fjats:italic> can be used more than once for economic gain, and it was found that the percent removal decreased to 89.28% of regeneration after three cycles for synthetic wastewater. These investigations indicate the effectiveness of the blue-green algae \u003Cjats:italic>A. platensis\u003C\u002Fjats:italic>, which may have significant potential for methyl orange dye applications in wastewater treatment.\u003C\u002Fjats:p>",{"EN":1191,"VI":1192},"Arthrospira platensis nanoparticle-based approach for efficient removal of methyl orange dye from aqueous solutions: isotherm, kinetic, and thermodynamic analysis","Phương pháp tiếp cận dựa trên hạt nano Arthrospira platensis để loại bỏ hiệu quả phẩm màu methyl da cam khỏi dung dịch nước: phân tích đẳng nhiệt, động học và nhiệt động lực học",{"VOID":1194},"10.1007\u002Fs13399-023-04844-z","2024-12-17T03:44:49.805+00:00",[758],[112],"https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs13399-023-04844-z",[1200,1217,1234,1251],{"id":1201,"sortIndex":23,"researcher":22,"roles":1202,"affiliations":1203,"properties":1212,"displayName":1214,"givenName":22,"familyName":22},"3d5ef7bd-13ce-4db5-839f-16322f35573f",[],[1204],{"id":1205,"sortIndex":23,"affiliation":1206,"properties":22},"6fb5cc21-3c8b-49a3-8b3e-a80615184762",{"id":1205,"createTime":22,"updateTime":22,"relativeEntities":1207,"slug":22,"properties":1208,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1211,"statistic":22},[],{"title":1209},{"EN":1210},"National Institute of Oceanography and Fisheries (NIOF), Cairo, 11516, Egypt",[],{"title":1213,"openalex":1215},{"EN":1214},"Ahmed E. Alprol",{"VOID":1216},"A5033447974",{"id":1218,"sortIndex":85,"researcher":22,"roles":1219,"affiliations":1220,"properties":1227,"displayName":1231,"givenName":22,"familyName":22},"e246a91c-15de-419e-a1dd-5b68cb7dd5e5",[],[1221],{"id":1205,"sortIndex":23,"affiliation":1222,"properties":22},{"id":1205,"createTime":22,"updateTime":22,"relativeEntities":1223,"slug":22,"properties":1224,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1226,"statistic":22},[],{"title":1225},{"EN":1210},[],{"orcid":1228,"title":1230,"openalex":1232},{"VOID":1229},"https:\u002F\u002Forcid.org\u002F0000-0003-3016-4762",{"EN":1231},"Mohamed Khedawy",{"VOID":1233},"A5032725861",{"id":1235,"sortIndex":155,"researcher":22,"roles":1236,"affiliations":1237,"properties":1244,"displayName":1248,"givenName":22,"familyName":22},"1d3193ce-425c-48ee-af01-5dd2d9dc4c6b",[],[1238],{"id":1205,"sortIndex":23,"affiliation":1239,"properties":22},{"id":1205,"createTime":22,"updateTime":22,"relativeEntities":1240,"slug":22,"properties":1241,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1243,"statistic":22},[],{"title":1242},{"EN":1210},[],{"orcid":1245,"title":1247,"openalex":1249},{"VOID":1246},"https:\u002F\u002Forcid.org\u002F0000-0002-1595-1197",{"EN":1248},"Mohamed Ashour",{"VOID":1250},"A5013046994",{"id":1252,"sortIndex":169,"researcher":22,"roles":1253,"affiliations":1254,"properties":1261,"displayName":1265,"givenName":22,"familyName":22},"df995e68-6183-4e99-9a8c-28821b25554a",[],[1255],{"id":1205,"sortIndex":23,"affiliation":1256,"properties":22},{"id":1205,"createTime":22,"updateTime":22,"relativeEntities":1257,"slug":22,"properties":1258,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1260,"statistic":22},[],{"title":1259},{"EN":1210},[],{"orcid":1262,"title":1264,"openalex":1266},{"VOID":1263},"https:\u002F\u002Forcid.org\u002F0000-0003-4964-0511",{"EN":1265},"Walaa M. Thabet",{"VOID":1267},"A5033135574",{"url":22,"publisher":1269,"properties":22},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1270,"slug":10,"properties":1271,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":1275,"manageAffiliations":1280,"indexDatabases":1291,"url":22,"thumbnailPath":22,"statistic":1306,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":1272,"title":1273,"eissn":1274},{"VOID":15},{"EN":17},{"VOID":13},[1276],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":1277,"label":1278,"description":1279,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[1281,1286],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":1282,"slug":22,"properties":1283,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1285,"statistic":22},[],{"title":1284},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":1287,"slug":22,"properties":1288,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1290,"statistic":22},[],{"title":1289},{"EN":45},[39],[1292,1299],{"id":49,"indexDatabase":1293,"url":60,"indexYears":61,"academicFieldIds":1298,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":1294,"label":1295,"description":1296,"key":57,"publicationTags":1297,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":1300,"url":79,"indexYears":22,"academicFieldIds":1305,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":1301,"label":1302,"description":1303,"key":75,"publicationTags":1304,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":1307,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":1308,"totalCitation":23,"totalCitationByYear":1309,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":1310,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"total":23,"publishYear":22,"statisticByYear":1312},{},[],[1315,1319,1322,1326,1329,1332,1336,1339,1343,1347,1351,1355,1359,1362,1366,1370,1374,1378,1382,1386,1390,1394,1398,1402,1406,1409,1413,1417,1421,1425,1429,1433,1437,1440,1443,1446,1450,1454,1458,1462,1466,1470,1474,1478,1482,1485,1489,1493,1497,1501,1505,1509,1513,1516,1519,1523,1527,1531,1534,1538,1542,1546,1550,1554,1558,1562,1566,1570,1574,1578,1582,1586,1590,1594,1598,1602,1606,1610],{"id":22,"text":1316,"url":22,"identifiers":1317},"Blaber SJ, Cyrus D, Albaret J-J, Ching CV, Day J, Elliott M, Fonseca M, Hoss D, Orensanz J, Potter I (2000) Effects of fishing on the structure and functioning of estuarine and nearshore ecosystems. iCES J Marine Sci 57:590–602",{"doi":1318},"10.1006\u002Fjmsc.2000.0723",{"id":22,"text":1320,"url":22,"identifiers":1321},"Salman JM, Amrin AR, Hassan FM, Jouda SA (2015) Removal of congo red dye from aqueous solution by using natural materials. Mesopotamia Environ J 1:82–89",{},{"id":22,"text":1323,"url":22,"identifiers":1324},"Reddy MS, Sivaramakrishna L, Reddy AV (2012) The use of an agricultural waste material, Jujuba seeds for the removal of anionic dye (Congo red) from aqueous medium. J Hazard Mater 203:118–127",{"doi":1325},"10.1016\u002Fj.jhazmat.2011.11.083",{"id":22,"text":1327,"url":22,"identifiers":1328},"Bazrafshan E, Zarei AA, Nadi H, Zazouli MA (2014) Adsorptive removal of methyl orange and reactive red 198 dyes by Moringa peregrina ash. Ind J Chem Technol 21:105–113",{},{"id":22,"text":1330,"url":22,"identifiers":1331},"Seifpanahi Shabani K, Abedi-Orang B (2020) Experimental studies, response surface methodology and molecular modeling for optimization and mechanism analysis of methylene blue dye removal by different clays. J Min Environ 11:1079–1093",{},{"id":22,"text":1333,"url":22,"identifiers":1334},"Mo JH, Lee YH, Kim J, Jeong JY, Jegal J (2008) Treatment of dye aqueous solutions using nanofiltration polyamide composite membranes for the dye wastewater reuse. Dyes Pigm 76:429–434",{"doi":1335},"10.1016\u002Fj.dyepig.2006.09.007",{"id":22,"text":1337,"url":22,"identifiers":1338},"Balarak D, Mahdavi Y, Bazrafshan E, Mahvi AH (2016) Kinetic, isotherms and thermodynamic modeling for adsorption of Acid Blue 92 (AB92) from aqueous solution by modified Azolla filicoloides. Fresenius Environ Bull 25:1322–1331",{},{"id":22,"text":1340,"url":22,"identifiers":1341},"Guo J, Qiu L, Deng Z, Yan F (2013) Plastic reusable pH indicator strips: preparation via anion-exchange of poly (ionic liquids) with anionic dyes. Polym Chem 4:1309–1312",{"doi":1342},"10.1039\u002Fc2py21076b",{"id":22,"text":1344,"url":22,"identifiers":1345},"ALzaydien AS (2009) Adsorption of methylene blue from aqueous solution onto a low-cost natural Jordanian Tripoli. Am J Appl Sci 6:1047",{"doi":1346},"10.3844\u002Fajassp.2009.1047.1058",{"id":22,"text":1348,"url":22,"identifiers":1349},"Abbas EM, Ali FS, Desouky MG, Ashour M, El-Shafei A, Maaty MM, Sharawy ZZ (2021) Novel comprehensive molecular and ecological study introducing coastal mud shrimp (Solenocera crassicornis) recorded at the Gulf of suez, Egypt. J Mar Sci Eng 9:1–13. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fjmse9010009",{"doi":1350},"10.3390\u002Fjmse9010009",{"id":22,"text":1352,"url":22,"identifiers":1353},"Sen TK, Afroze S, Ang H (2011) Equilibrium, kinetics and mechanism of removal of methylene blue from aqueous solution by adsorption onto pine cone biomass of Pinus radiata. Water Air Soil Pollut 218:499–515",{"doi":1354},"10.1007\u002Fs11270-010-0663-y",{"id":22,"text":1356,"url":22,"identifiers":1357},"Yagub MT, Sen TK, Ang H (2012) Equilibrium, kinetics, and thermodynamics of methylene blue adsorption by pine tree leaves. Water Air Soil Pollut 223:5267–5282",{"doi":1358},"10.1007\u002Fs11270-012-1277-3",{"id":22,"text":1360,"url":22,"identifiers":1361},"Al Prol AE (2019) Study of environmental concerns of dyes and recent textile effluents treatment technology: a review. Asian J Fish Aquat Res 3:1–18",{},{"id":22,"text":1363,"url":22,"identifiers":1364},"Gupta V (2009) Application of low-cost adsorbents for dye removal–a review. J Environ Manage 90:2313–2342",{"doi":1365},"10.1016\u002Fj.jenvman.2008.11.017",{"id":22,"text":1367,"url":22,"identifiers":1368},"Ozsoy F, Ozdilek B, Onder A, Ilgin P, Ozay H, Ozay O (2022) Graphene nanoplate incorporated Gelatin\u002Fpoly (2-(Acryloyloxy) ethyl trimethylammonium chloride) composites hydrogel for highly effective removal of Alizarin Red S from aqueous solution. J Polym Res 29:481",{"doi":1369},"10.1007\u002Fs10965-022-03327-5",{"id":22,"text":1371,"url":22,"identifiers":1372},"Al-Saeedi SI, Ashour M, Alprol AE (n.d.) Adsorption of toxic dye using red seaweeds from synthetic aqueous solution and its application to industrial wastewater effluents. Front Marine Sci 10:1202362. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffmars.2023.1202362",{"doi":1373},"10.3389\u002Ffmars.2023.1202362",{"id":22,"text":1375,"url":22,"identifiers":1376},"Rita K (2012) Adsorption of dye eosin from an aqueous solution on two different samples of activated carbon by static batch method. J Water Res Protect 4(2):17426. https:\u002F\u002Fdoi.org\u002F10.4236\u002Fjwarp.2012.42011",{"doi":1377},"10.4236\u002Fjwarp.2012.42011",{"id":22,"text":1379,"url":22,"identifiers":1380},"Onder A, Ozay H (2021) Highly efficient removal of methyl orange from aqueous media by amine functional cyclotriphosphazene submicrospheres as reusable column packing material. Chem Eng Process-Process Intensif 165:108427",{"doi":1381},"10.1016\u002Fj.cep.2021.108427",{"id":22,"text":1383,"url":22,"identifiers":1384},"Rehman MSU, Kim I, Han J-I (2012) Adsorption of methylene blue dye from aqueous solution by sugar extracted spent rice biomass. Carbohyd Polym 90:1314–1322",{"doi":1385},"10.1016\u002Fj.carbpol.2012.06.078",{"id":22,"text":1387,"url":22,"identifiers":1388},"Li T, Liu L, Zhang Z, Han Z (2020) Preparation of nanofibrous metal-organic framework filter for rapid adsorption and selective separation of cationic dye from aqueous solution. Sep Purif Technol 237:116360",{"doi":1389},"10.1016\u002Fj.seppur.2019.116360",{"id":22,"text":1391,"url":22,"identifiers":1392},"Abdelrhman AM, Ashour M, Al-Zahaby MA, Sharawy ZZ, Nazmi H, Zaki MA, Ahmed NH, Ahmed SR, El-Haroun E, Van Doan H (2022) Effect of polysaccharides derived from brown macroalgae Sargassum dentifolium on growth performance, serum biochemical, digestive histology and enzyme activity of hybrid red tilapia. Aquacult Rep 25:101212. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aqrep.2022.101212",{"doi":1393},"10.1016\u002Fj.aqrep.2022.101212",{"id":22,"text":1395,"url":22,"identifiers":1396},"Onder A, Kıvanç MR, Ilgin P, Ozay H, Ozay O (2023) Synthesis of p (HEMA-co-AETAC) nanocomposite hydrogel with vinyl-function montmorillonite nanoparticles and effective removal of methyl orange from aqueous solution. J Macromol Sci Part A 60:108–123",{"doi":1397},"10.1080\u002F10601325.2023.2169155",{"id":22,"text":1399,"url":22,"identifiers":1400},"Shao W, Ebaid R, El-Sheekh M, Abomohra A, Eladel H (2019) Pharmaceutical applications and consequent environmental impacts of Spirulina (Arthrospira): an overview. Grasas Aceites 70:e292–e292",{"doi":1401},"10.3989\u002Fgya.0690181",{"id":22,"text":1403,"url":22,"identifiers":1404},"Mansour AT, Alprol AE, Abualnaja KM, El-Beltagi HS, Ramadan KMA, Ashour M (2022) Dried brown seaweed’s phytoremediation potential for methylene blue dye removal from aquatic environments. Polymers 14(7):1375. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fpolym14071375",{"doi":1405},"10.3390\u002Fpolym14071375",{"id":22,"text":1407,"url":22,"identifiers":1408},"Gaese H (2012) Chemical composition and potential application of Spirulina platensis biomass. Int J Agr Env 4:2012",{},{"id":22,"text":1410,"url":22,"identifiers":1411},"Mabrouk MM, Ashour M, Labena A, Zaki MAA, Abdelhamid AF, Gewaily MS, Dawood MAO, Abualnaja KM, Ayoub HF (2022) Nanoparticles of Arthrospira platensis improves growth, antioxidative and immunological responses of Nile tilapia (Oreochromisniloticus) and its resistance to Aeromonashydrophila. Aquacult Res 53:125–135. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fare.15558",{"doi":1412},"10.1111\u002Fare.15558",{"id":22,"text":1414,"url":22,"identifiers":1415},"Mansour AT, Alprol AE, Abualnaja KM, El-Beltagi HS, Ramadan KMA, Ashour M (2022) The using of nanoparticles of microalgae in remediation of toxic dye from industrial wastewater: kinetic and isotherm studies. Materials (Basel) 15(11):3922. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fma15113922",{"doi":1416},"10.3390\u002Fma15113922",{"id":22,"text":1418,"url":22,"identifiers":1419},"Sharawy ZZ, Ashour M, Labena A, Alsaqufi AS, Mansour AT (2022) Abbas EM Effects of dietary Arthrospira platensis nanoparticles on growth performance, feed utilization, and growth-related gene expression of Pacific white shrimp, Litopenaeus Vannamei. Aquaculture 551:737905. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aquaculture.2022.737905",{"doi":1420},"10.1016\u002Fj.aquaculture.2022.737905",{"id":22,"text":1422,"url":22,"identifiers":1423},"Mansour AT, Alprol AE, Ashour M, Ramadan KM, Alhajji AH, Abualnaja KM (2022) Do red seaweed nanoparticles enhance bioremediation capacity of toxic dyes from aqueous solution? Gels 8:310. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fgels8050310",{"doi":1424},"10.3390\u002Fgels8050310",{"id":22,"text":1426,"url":22,"identifiers":1427},"Alprol AE, Heneash AMM, Ashour M, Abualnaja KM, Alhashmialameer D, Mansour AT, Sharawy ZZ, Abu-Saied MA, Abomohra AE (2021) Potential applications of Arthrospira platensis lipid-free biomass in bioremediation of organic dye from industrial textile effluents and its influence on marine rotifer (Brachionusplicatilis). Materials (Basel) 14(16):4446. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fma14164446",{"doi":1428},"10.3390\u002Fma14164446",{"id":22,"text":1430,"url":22,"identifiers":1431},"Ashour M, Alprol AE, Heneash AMM, Saleh H, Abualnaja KM, Alhashmialameer D, Mansour AT (2021) Ammonia bioremediation from aquaculture wastewater effluents using Arthrospira platensis NIOF17\u002F003: impact of biodiesel residue and potential of ammonia-loaded biomass as rotifer feed. Materials (Basel) 14:5460. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fma14185460",{"doi":1432},"10.3390\u002Fma14185460",{"id":22,"text":1434,"url":22,"identifiers":1435},"Langmuir I (1916) The constitution and fundamental properties of solids and liquids. Part I. Solids. J Am Chem Soc 38:2221–2295",{"doi":1436},"10.1021\u002Fja02268a002",{"id":22,"text":1438,"url":22,"identifiers":1439},"Alghamdi AA, Al-Odayni A-B, Saeed WS, Al-Kahtani A, Alharthi FA, Aouak T (2020) Efficient adsorption of lead (II) from aqueous phase solutions using polypyrrole-based activated carbon. Materials 2019:12",{},{"id":22,"text":1441,"url":22,"identifiers":1442},"Temkin M, Pyzhev V (1940) Recent modifications to Langmuir isotherms. Acta Physiochim URSS 12:217–225",{},{"id":22,"text":1444,"url":22,"identifiers":1445},"Fazal A, Rafique U (2012) Mechanistic understanding of cadmium sorption by sulfonated and esterified spent black tea. Int J 3:230–237",{},{"id":22,"text":1447,"url":22,"identifiers":1448},"Ghoneim MM, El-Desoky HS, El-Moselhy KM, Amer A, Abou El-Naga EH, Mohamedein LI, Al-Prol AE (2014) Removal of cadmium from aqueous solution using marine green algae Ulva lactuca. Egypt J Aquat Res 40:235–242. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ejar.2014.08.005Get",{"doi":1449},"10.1016\u002Fj.ejar.2014.08.005Get",{"id":22,"text":1451,"url":22,"identifiers":1452},"Dutta DP, Venugopalan R, Chopade S (2017) Manipulating carbon nanotubes for efficient removal of both cationic and anionic dyes from wastewater. ChemistrySelect 2:3878–3888",{"doi":1453},"10.1002\u002Fslct.201700135",{"id":22,"text":1455,"url":22,"identifiers":1456},"Padilha FP, de França FP, da Costa ACA (2005) The use of waste biomass of Sargassum sp. for the biosorption of copper from simulated semiconductor effluents. Bioresour Technol 96:1511–1517",{"doi":1457},"10.1016\u002Fj.biortech.2004.11.009",{"id":22,"text":1459,"url":22,"identifiers":1460},"Villaescusa I, Fiol N, Martı́nez MA, Miralles N, Poch J, Serarols J (2004) Removal of copper and nickel ions from aqueous solutions by grape stalks wastes. Water Res 38:992–1002",{"doi":1461},"10.1016\u002Fj.watres.2003.10.040",{"id":22,"text":1463,"url":22,"identifiers":1464},"Richner G, Puxty G (2012) Assessing the chemical speciation during CO2 absorption by aqueous amines using in situ FTIR. Ind Eng Chem Res 51:14317–14324",{"doi":1465},"10.1021\u002Fie302056f",{"id":22,"text":1467,"url":22,"identifiers":1468},"Celekli A, Yavuzatmaca M, Bozkurt H (2010) An eco-friendly process: predictive modelling of copper adsorption from aqueous solution on Spirulina platensis. J Hazard Mater 173:123–129",{"doi":1469},"10.1016\u002Fj.jhazmat.2009.08.057",{"id":22,"text":1471,"url":22,"identifiers":1472},"Adeyi AA, Jamil SNAM, Abdullah LC, Choong TSY, Lau KL, Abdullah M (2019) Adsorptive removal of methylene blue from aquatic environments using thiourea-modified poly (acrylonitrile-co-acrylic acid). Materials 12:1734",{"doi":1473},"10.3390\u002Fma12111734",{"id":22,"text":1475,"url":22,"identifiers":1476},"Pelosi B, Lima L, Vieira M (2014) Removal of the synthetic dye Remazol Brilliant Blue R from textile industry wastewaters by biosorption on the macrophyte Salvinia natans. Braz J Chem Eng 31:1035–1045",{"doi":1477},"10.1590\u002F0104-6632.20140314s00002568",{"id":22,"text":1479,"url":22,"identifiers":1480},"Gupta V, Rastogi A (2009) Biosorption of hexavalent chromium by raw and acid-treated green alga Oedogonium hatei from aqueous solutions. J Hazard Mater 163:396–402",{"doi":1481},"10.1016\u002Fj.jhazmat.2008.06.104",{"id":22,"text":1483,"url":22,"identifiers":1484},"Kareem A, Abd Alrazak N, Aljebori KH, Aljebori A, Algboory HL, Alkaim AF (2016) Removal of methylene blue dye from aqueous solutions by using activated carbon\u002Fureaformaldehyde composite resin as an adsorbent. Int J Chem Sci 14:635–648",{},{"id":22,"text":1486,"url":22,"identifiers":1487},"Bello OS, Ahmad MA (2011) Adsorptive removal of a synthetic textile dye using cocoa pod husks. Toxicol Environ Chem 93:1298–1308",{"doi":1488},"10.1080\u002F02772248.2011.590490",{"id":22,"text":1490,"url":22,"identifiers":1491},"Amuda OS, Olayiwola AO, Alade AO, Farombi AG, Adebisi SA (2014) Adsorption of methylene blue from aqueous solution using steam-activated carbon produced from Lantana camara stem. J Environ Prot 5:1352",{"doi":1492},"10.4236\u002Fjep.2014.513129",{"id":22,"text":1494,"url":22,"identifiers":1495},"Abualnaja KM, Alprol AE, Abu-Saied MA, Mansour AT, Ashour M (2021) Studying the adsorptive behavior of poly(acrylonitrile-co-styrene) and carbon nanotubes (nanocomposites) impregnated with adsorbent materials towards methyl orange dye. Nanomaterials (Basel) 11:1144. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fnano11051144",{"doi":1496},"10.3390\u002Fnano11051144",{"id":22,"text":1498,"url":22,"identifiers":1499},"Kooh MRR, Dahri MK, Lim LB (2016) The removal of rhodamine B dye from aqueous solution using Casuarina equisetifolia needles as adsorbent. Cogent Environ Sci 2:1140553",{"doi":1500},"10.1080\u002F23311843.2016.1140553",{"id":22,"text":1502,"url":22,"identifiers":1503},"Yagub MT, Sen TK, Afroze S, Ang HM (2014) Dye and its removal from aqueous solution by adsorption: a review. Adv Coll Interface Sci 209:172–184",{"doi":1504},"10.1016\u002Fj.cis.2014.04.002",{"id":22,"text":1506,"url":22,"identifiers":1507},"Iram M, Guo C, Guan Y, Ishfaq A, Liu H (2010) Adsorption and magnetic removal of neutral red dye from aqueous solution using Fe3O4 hollow nanospheres. J Hazard Mater 181:1039–1050",{"doi":1508},"10.1016\u002Fj.jhazmat.2010.05.119",{"id":22,"text":1510,"url":22,"identifiers":1511},"Aksu Z, Tezer S (2005) Biosorption of reactive dyes on the green alga Chlorella vulgaris. Process Biochem 40:1347–1361",{"doi":1512},"10.1016\u002Fj.procbio.2004.06.007",{"id":22,"text":1514,"url":22,"identifiers":1515},"El-Bindary A, El-Sonbati A, Shoair A, Mohamed A (2015) Adsorptive removal of hazardous azorhodanine dye from an aqueous solution using rice straw fly ash. J Mater Environ Sci 6:1723–1732",{},{"id":22,"text":1517,"url":22,"identifiers":1518},"Gupta V, Agarwal A, Singh M, Singh N (2017) Removal of red RB dye from aqueous solution by belpatra bark charcoal (BBC) adsorbent. J Mater Environ Sci 8:3654–3665",{},{"id":22,"text":1520,"url":22,"identifiers":1521},"El-Bindary AA, Hussien MA, Diab MA, Eessa AM (2014) Adsorption of Acid Yellow 99 by polyacrylonitrile\u002Factivated carbon composite: kinetics, thermodynamics and isotherm studies. J Mol Liq 197:236–242",{"doi":1522},"10.1016\u002Fj.molliq.2014.05.003",{"id":22,"text":1524,"url":22,"identifiers":1525},"Al-Majedy YK, Al-Duhaidahawi DL, Al-Azawi KF, Al-Amiery AA, Kadhum AAH, Mohamad AB (2016) Coumarins as potential antioxidant agents complemented with suggested mechanisms and approved by molecular modeling studies. Molecules 21:135",{"doi":1526},"10.3390\u002Fmolecules21020135",{"id":22,"text":1528,"url":22,"identifiers":1529},"Hall KR, Eagleton LC, Acrivos A, Vermeulen T (1966) Pore-and solid-diffusion kinetics in fixed-bed adsorption under constant-pattern conditions. Ind Eng Chem Fundam 5:212–223",{"doi":1530},"10.1021\u002Fi160018a011",{"id":22,"text":1532,"url":22,"identifiers":1533},"Abd El-Hamid HT, AlProl AE, Hafiz MA (2022) The efficiency of adsorption modelling and Plackett-Burman design for remediation of crystal violet by Sargassum latifolium. Biocatalysis Agric Biotechnol 44:102",{},{"id":22,"text":1535,"url":22,"identifiers":1536},"Mansour AT, Alprol AE, Khedawy M, Abualnaja KM, Shalaby TA, Rayan G, Ramadan KM, Ashour M (2022) Green synthesis of zinc oxide nanoparticles using red seaweed for the elimination of organic toxic dye from an aqueous solution. Materials 15:5169. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fma15155169",{"doi":1537},"10.3390\u002Fma15155169",{"id":22,"text":1539,"url":22,"identifiers":1540},"Abualnaja KM, Alprol AE, Abu-Saied MA, Ashour M, Mansour AT (2021) Removing of anionic dye from aqueous solutions by adsorption using of multiwalled carbon nanotubes and poly (acrylonitrile-styrene) impregnated with activated carbon. Sustainability 13:7077. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu13137077",{"doi":1541},"10.3390\u002Fsu13137077",{"id":22,"text":1543,"url":22,"identifiers":1544},"Sen TK, Sarzali MV (2008) Removal of cadmium metal ion (Cd2+) from its aqueous solution by aluminium oxide (Al2O3): a kinetic and equilibrium study. Chem Eng J 142:256–262",{"doi":1545},"10.1016\u002Fj.cej.2007.12.001",{"id":22,"text":1547,"url":22,"identifiers":1548},"Wu Y, Zhang S, Guo X, Huang H (2008) Adsorption of chromium (III) on lignin. Biores Technol 99:7709–7715",{"doi":1549},"10.1016\u002Fj.biortech.2008.01.069",{"id":22,"text":1551,"url":22,"identifiers":1552},"El Nemr A (2009) Potential of pomegranate husk carbon for Cr (VI) removal from wastewater: kinetic and isotherm studies. J Hazard Mater 161:132–141",{"doi":1553},"10.1016\u002Fj.jhazmat.2008.03.093",{"id":22,"text":1555,"url":22,"identifiers":1556},"El Nemr A (2007) Pomegranate husk as an adsorbent in the removal of toxic chromium from wastewater. Chem Ecol 23:409–425",{"doi":1557},"10.1080\u002F02757540701653350",{"id":22,"text":1559,"url":22,"identifiers":1560},"Boyd G, Schubert J, Adamson A (1947) The exchange adsorption of ions from aqueous solutions by organic zeolites. I. Ion-exchange equilibria1. J Am Chem Soc 69:2818–2829",{"doi":1561},"10.1021\u002Fja01203a064",{"id":22,"text":1563,"url":22,"identifiers":1564},"Castañeda M, Mirasol M, Raymundo L, Solidum J (2012) Biosorption and desorption of lead (Pb+ 2) from simulated wastewater using freshwater snail shells, Melanoides tuberculata Muller (Family Thiaridae). In: 2nd International Conference on Environment and BioScience IPCBEE,(44). https:\u002F\u002Fdoi.org\u002F10.7763\u002Fipcbee",{"doi":1565},"10.7763\u002Fipcbee",{"id":22,"text":1567,"url":22,"identifiers":1568},"Lata S, Singh P, Samadder S (2015) Regeneration of adsorbents and recovery of heavy metals: a review. Int J Environ Sci Technol 12:1461–1478",{"doi":1569},"10.1007\u002Fs13762-014-0714-9",{"id":22,"text":1571,"url":22,"identifiers":1572},"Kamaru AA, Sani NS, Malek NANN (2016) Raw and surfactant-modified pineapple leaf as adsorbent for removal of methylene blue and methyl orange from aqueous solution. Desalin Water Treat 57:18836–18850",{"doi":1573},"10.1080\u002F19443994.2015.1095122",{"id":22,"text":1575,"url":22,"identifiers":1576},"Lafi R, Hafiane A (2016) Removal of methyl orange (MO) from aqueous solution using cationic surfactants modified coffee waste (MCWs). J Taiwan Inst Chem Eng 58:424–433",{"doi":1577},"10.1016\u002Fj.jtice.2015.06.035",{"id":22,"text":1579,"url":22,"identifiers":1580},"Subbaiah MV, Kim D-S (2016) Adsorption of methyl orange from aqueous solution by aminated pumpkin seed powder: kinetics, isotherms, and thermodynamic studies. Ecotoxicol Environ Saf 128:109–117",{"doi":1581},"10.1016\u002Fj.ecoenv.2016.02.016",{"id":22,"text":1583,"url":22,"identifiers":1584},"Robati D, Mirza B, Rajabi M, Moradi O, Tyagi I, Agarwal S, Gupta V (2016) Removal of hazardous dyes-BR 12 and methyl orange using graphene oxide as an adsorbent from aqueous phase. Chem Eng J 284:687–697",{"doi":1585},"10.1016\u002Fj.cej.2015.08.131",{"id":22,"text":1587,"url":22,"identifiers":1588},"Banerjee D, Bhowmick P, Pahari D, Santra S, Sarkar S, Das B, Chattopadhyay K (2017) Pseudo first ordered adsorption of noxious textile dyes by low-temperature synthesized amorphous carbon nanotubes. Physica E 87:68–76",{"doi":1589},"10.1016\u002Fj.physe.2016.11.024",{"id":22,"text":1591,"url":22,"identifiers":1592},"Zayed AM, Wahed MSA, Mohamed EA, Sillanpää M (2018) Insights on the role of organic matters of some Egyptian clays in methyl orange adsorption: isotherm and kinetic studies. Appl Clay Sci 166:49–60",{"doi":1593},"10.1016\u002Fj.clay.2018.09.013",{"id":22,"text":1595,"url":22,"identifiers":1596},"Yu J, Zhang X, Wang D, Li P (2018) Adsorption of methyl orange dye onto biochar adsorbent prepared from chicken manure. Water Sci Technol 77:1303–1312",{"doi":1597},"10.2166\u002Fwst.2018.003",{"id":22,"text":1599,"url":22,"identifiers":1600},"Zhang B, Wu Y, Cha L (2019) Removal of methyl orange dye using activated biochar derived from pomelo peel wastes: performance, isotherm, and kinetic studies. J Dispers Sci Technol 41(1):125–136. https:\u002F\u002Fdoi.org\u002F10.1080\u002F01932691.2018.1561298",{"doi":1601},"10.1080\u002F01932691.2018.1561298",{"id":22,"text":1603,"url":22,"identifiers":1604},"Lafi R, Abdellaoui L, Montasser I, Hafiane A (2022) Removal of methyl orange from aqueous solution onto modified extracted cellulose from Stipa Tenacissima L. Int J Environ Anal Chem 102:8124–8140",{"doi":1605},"10.1080\u002F03067319.2020.1845663",{"id":22,"text":1607,"url":22,"identifiers":1608},"Abbou B, Lebkiri I, Ouaddari H, El Amri A, Achibat FE, Kadiri L, Ouass A, Lebkiri A (2023) Improved removal of methyl orange dye by adsorption using modified clay: combined experimental study using surface response methodology. Inorg Chem Commun 155:111127",{"doi":1609},"10.1016\u002Fj.inoche.2023.111127",{"id":22,"text":1611,"url":22,"identifiers":1612},"Mon PP, Cho PP, Chandana L, Srikanth V, Madras G, Ch S (2023) Biowaste-derived Ni\u002FNiO decorated-2D biochar for adsorption of methyl orange. J Environ Manage 344:118418",{"doi":1613},"10.1016\u002Fj.jenvman.2023.118418",{"id":1615,"createTime":1616,"updateTime":1617,"relativeEntities":1618,"slug":1619,"properties":1620,"entityType":110,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":1630,"translateLanguages":1631,"viewCount":23,"primaryUrl":1632,"fullTextUrl":22,"authors":1633,"publicationType":181,"publisherRelationship":1721,"citationCount":85,"citationInfo":1764,"publishDate":22,"publishYear":22,"citationAnalyzeStatus":1766,"lastCitationAnalyze":1767,"indexDatabases":1768,"openAccess":22,"references":1769,"isForceReanalyzing":231},"77aef2ca-bd63-4335-b8f6-49d99cdc6b23","2024-04-11T20:46:30.709+00:00","2026-09-05T04:13:24.217+00:00",[],"Evolutionary-optimization-of-biogas-production-from-food-fruit-and-vegetable-FFV-waste",{"openalex":1621,"abstract":1623,"title":1625,"doi":1628},{"VOID":1622},"W4381856339",{"EN":1624},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>The success of anaerobic digestion (AD) process for biogas production is contingent upon complex mix of operating factors, process conditions, and feedstock types, which could be affected by inadequate understanding of microbial, kinetic, and physicochemical processes. To address these limitations, efforts have been directed toward developing mathematical and intelligent models. Although mathematical models provide near-optimal solutions, they are time consuming, highly expensive, and demanding. Intelligent standalone models are also limited by their low predictive capability and inability to guarantee global optimal solution for the prediction of cumulative biogas yield for FFV waste. However, hyperparameter optimization of such models is essential to improve the prediction performance for cumulative biogas yield for FFV waste. Therefore, this study applies a genetic algorithm (GA) to optimize an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of cumulative biogas production. Seven (7) input variables, organic loading rate (OLR), volatile solids (VS), pH, hydraulic retention time (HRT), temperature, retention time, and reaction volume, were considered with cumulative biogas production as the output. The effect of varying clustering techniques was evaluated. The three (3) clustering techniques evaluated are fuzzy c-means and subtractive clustering and grid partitioning. The hybrid model was evaluated based on some verified statistical performance metrics. Optimal root mean squared error (RMSE), mean absolute deviation (MAD), mean absolute percentage error (MAPE), and standard deviation error (error STD) of 0.0529, 0.0326,7.6742, and 0.0474, respectively, were reported at the model testing phase for the subtractive clustering technique being the best-performing model. The results confirm the capacity of hybrid evolutionary (genetic) algorithm based on subtractive clustering technique to predict the biogas yield from FFV and serve as an effective tool for the upscaling of anaerobic digestion units as well as in techno-economic studies toward more efficient energy utilization.\u003C\u002Fjats:p>\n              \u003Cjats:p>\u003Cjats:bold>Graphical abstract\u003C\u002Fjats:bold>\u003C\u002Fjats:p>",{"EN":1626,"VI":1627},"Evolutionary optimization of biogas production from food, fruit, and vegetable (FFV) waste","Tối ưu hóa tiến hóa quá trình sản xuất biogas từ rác thải thực phẩm, trái cây và rau quả (FFV)",{"VOID":1629},"10.1007\u002Fs13399-023-04506-0",[758],[112],"https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs13399-023-04506-0",[1634,1653,1670,1687,1704],{"id":1635,"sortIndex":23,"researcher":22,"roles":1636,"affiliations":1637,"properties":1646,"displayName":1650,"givenName":22,"familyName":22},"deca5997-6f3d-4d30-92ef-30873aa55d2b",[],[1638],{"id":1639,"sortIndex":23,"affiliation":1640,"properties":22},"79d78287-035d-4d22-80a3-f27e5c8d63fa",{"id":1639,"createTime":22,"updateTime":22,"relativeEntities":1641,"slug":22,"properties":1642,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1645,"statistic":22},[],{"title":1643},{"VI":1644},"Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa",[],{"orcid":1647,"title":1649,"openalex":1651},{"VOID":1648},"https:\u002F\u002Forcid.org\u002F0000-0003-0783-5441",{"EN":1650},"Obafemi O. Olatunji",{"VOID":1652},"A5044692619",{"id":1654,"sortIndex":85,"researcher":22,"roles":1655,"affiliations":1656,"properties":1663,"displayName":1667,"givenName":22,"familyName":22},"02510f83-7932-4943-9cdf-f6f9a24decfc",[],[1657],{"id":1639,"sortIndex":23,"affiliation":1658,"properties":22},{"id":1639,"createTime":22,"updateTime":22,"relativeEntities":1659,"slug":22,"properties":1660,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1662,"statistic":22},[],{"title":1661},{"VI":1644},[],{"orcid":1664,"title":1666,"openalex":1668},{"VOID":1665},"https:\u002F\u002Forcid.org\u002F0000-0002-2212-0623",{"EN":1667},"Paul A. Adedeji",{"VOID":1669},"A5070290587",{"id":1671,"sortIndex":155,"researcher":22,"roles":1672,"affiliations":1673,"properties":1682,"displayName":1684,"givenName":22,"familyName":22},"2d1d7fa2-815e-4ca0-beda-2de56270a9a7",[],[1674],{"id":1675,"sortIndex":23,"affiliation":1676,"properties":22},"1d75a1e5-74ba-4662-a282-5a11b9303513",{"id":1675,"createTime":22,"updateTime":22,"relativeEntities":1677,"slug":22,"properties":1678,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1681,"statistic":22},[],{"title":1679},{"EN":1680},"Department of Mechanical Engineering Science, North West University, Potchefstroom, South Africa",[],{"title":1683,"openalex":1685},{"EN":1684},"Nkosinathi Madushele",{"VOID":1686},"A5074104836",{"id":1688,"sortIndex":169,"researcher":22,"roles":1689,"affiliations":1690,"properties":1697,"displayName":1701,"givenName":22,"familyName":22},"2a45f23a-9884-46c2-81ac-733dcbf827ff",[],[1691],{"id":1639,"sortIndex":23,"affiliation":1692,"properties":22},{"id":1639,"createTime":22,"updateTime":22,"relativeEntities":1693,"slug":22,"properties":1694,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1696,"statistic":22},[],{"title":1695},{"VI":1644},[],{"orcid":1698,"title":1700,"openalex":1702},{"VOID":1699},"https:\u002F\u002Forcid.org\u002F0000-0001-8281-9359",{"EN":1701},"Zelda Z. Rasmeni",{"VOID":1703},"A5005599236",{"id":1705,"sortIndex":313,"researcher":22,"roles":1706,"affiliations":1707,"properties":1716,"displayName":1718,"givenName":22,"familyName":22},"454f6057-6a89-412f-aa7d-073ae4014540",[],[1708],{"id":1709,"sortIndex":23,"affiliation":1710,"properties":22},"8c85e187-28df-456a-8dea-3096824f5197",{"id":1709,"createTime":22,"updateTime":22,"relativeEntities":1711,"slug":22,"properties":1712,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1715,"statistic":22},[],{"title":1713},{"VI":1714},"Process, Energy and Environmental Technology Station (PEETS), University of Johannesburg, Johannesburg, South Africa",[],{"title":1717,"openalex":1719},{"EN":1718},"Nickey Janse van Rensburg",{"VOID":1720},"A5065885815",{"url":22,"publisher":1722,"properties":22},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1723,"slug":10,"properties":1724,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":1728,"manageAffiliations":1733,"indexDatabases":1744,"url":22,"thumbnailPath":22,"statistic":1759,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":1725,"title":1726,"eissn":1727},{"VOID":15},{"EN":17},{"VOID":13},[1729],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":1730,"label":1731,"description":1732,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[1734,1739],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":1735,"slug":22,"properties":1736,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1738,"statistic":22},[],{"title":1737},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":1740,"slug":22,"properties":1741,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1743,"statistic":22},[],{"title":1742},{"EN":45},[39],[1745,1752],{"id":49,"indexDatabase":1746,"url":60,"indexYears":61,"academicFieldIds":1751,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":1747,"label":1748,"description":1749,"key":57,"publicationTags":1750,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":1753,"url":79,"indexYears":22,"academicFieldIds":1758,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":1754,"label":1755,"description":1756,"key":75,"publicationTags":1757,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":1760,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":1761,"totalCitation":23,"totalCitationByYear":1762,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":1763,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"total":85,"publishYear":22,"statisticByYear":1765},{"2023":85},"ERROR_IN_ANALYZE_CITATION","2024-04-12T00:58:43.385+00:00",[],[1770,1773,1776,1779,1782,1786,1789,1792,1796,1800,1804,1807,1811,1814,1818,1822,1826,1830,1834,1838,1842,1846,1850,1854,1858,1862,1866,1870,1874,1878,1882,1886,1890,1894,1898,1902,1906,1910,1914,1918,1921,1925,1928,1932,1936,1940,1944,1948,1952,1956,1960,1964,1968,1972,1976,1980,1984,1988,1992,1996,2000,2004,2008,2011,2015,2019,2023,2027,2031,2034,2038,2042,2046,2050,2054,2057,2061,2065,2069,2073,2076],{"id":22,"text":1771,"url":22,"identifiers":1772},"WorldBank (2022) What a waste global database. https:\u002F\u002Fdatacatalog.worldbank.org\u002Fsearch\u002Fdataset\u002F0039597. Accessed on 28 May 2022",{},{"id":22,"text":1774,"url":22,"identifiers":1775},"U. Nations (2021) Stop food loss and waste, for the people, for the panet. https:\u002F\u002Fwww.un.org\u002Fen\u002Fobservances\u002Fend-food-waste-day#:~:text=Globally%2C%20around%2014%20percent%20of,and%202%20percent%20in%20retail). Accessed on 10 Feb 2022",{},{"id":22,"text":1777,"url":22,"identifiers":1778},"F. America (2022) How we fight food waste in the US. https:\u002F\u002Fwww.feedingamerica.org\u002Four-work\u002Four-approach\u002Freduce-food-waste#:~:text=How%20much%20food%20waste%20is,food%20thrown%20away%20each%20year. Accessed on 09 Feb 2021",{},{"id":22,"text":1780,"url":22,"identifiers":1781},"FAO (2021) Food wastage footprint. https:\u002F\u002Fwww.fao.org\u002Fnews\u002Fstory\u002Fen\u002Fitem\u002F196402\u002Ficode\u002F",{},{"id":22,"text":1783,"url":22,"identifiers":1784},"Li R (2022) Integrating the composition of food waste into the techno-economic analysis of waste biorefineries for biodiesel production. Bioresour Technol Rep 20:101254",{"doi":1785},"10.1016\u002Fj.biteb.2022.101254",{"id":22,"text":1787,"url":22,"identifiers":1788},"UNEP (2022) Worldwide food waste. https:\u002F\u002Fwww.unep.org\u002Fthinkeatsave\u002Fget-informed\u002Fworldwide-food-waste. Accessed on 28 May 2022",{},{"id":22,"text":1790,"url":22,"identifiers":1791},"Beltramo T, Klocke M, Hitzmann B (2019) Prediction of the biogas production using GA and ACO input features selection method for ANN model. Inform Process Agric 6(3):349–356",{},{"id":22,"text":1793,"url":22,"identifiers":1794},"Rotaru A-E et al (2014) A new model for electron flow during anaerobic digestion: direct interspecies electron transfer to Methanosaeta for the reduction of carbon dioxide to methane. Energy Environ Sci 7(1):408–415",{"doi":1795},"10.1039\u002FC3EE42189A",{"id":22,"text":1797,"url":22,"identifiers":1798},"Chew KR et al (2021) Effects of anaerobic digestion of food waste on biogas production and environmental impacts: a review. Environ Chem Lett 19(4):2921–2939",{"doi":1799},"10.1007\u002Fs10311-021-01220-z",{"id":22,"text":1801,"url":22,"identifiers":1802},"Mutungwazi A, Ijoma GN, Matambo TS (2021) The significance of microbial community functions and symbiosis in enhancing methane production during anaerobic digestion: A review. Symbiosis 83(1):1–24",{"doi":1803},"10.1007\u002Fs13199-020-00734-4",{"id":22,"text":1805,"url":22,"identifiers":1806},"Parawira W (2004) Anaerobic treatment of agricultural residues and wastewater-application of high-rate reactors. Lund University",{},{"id":22,"text":1808,"url":22,"identifiers":1809},"Induchoodan T, Haq I, Kalamdhad AS (2022) Factors affecting anaerobic digestion for biogas production: a review. Adv Organic Waste Manage :223–233",{"doi":1810},"10.1016\u002FB978-0-323-85792-5.00020-4",{"id":22,"text":1812,"url":22,"identifiers":1813},"Maile I, Muzenda E, Mbohwa C (2016) Optimization of biogas production through anaerobic digestion of fruit and vegetable waste: a review. In 2016 7th International Conference on Biology, Environment and Chemistry, vol. 98",{},{"id":22,"text":1815,"url":22,"identifiers":1816},"Cioabla AE, Ionel I, Dumitrel G-A, Popescu F (2012) Comparative study on factors affecting anaerobic digestion of agricultural vegetal residues. Biotechnol Biofuels 5(1):1–9",{"doi":1817},"10.1186\u002F1754-6834-5-39",{"id":22,"text":1819,"url":22,"identifiers":1820},"Babaei A, Shayegan J (2019) Effects of temperature and mixing modes on the performance of municipal solid waste anaerobic slurry digester. J Environ Health Sci Eng 17(2):1077–1084",{"doi":1821},"10.1007\u002Fs40201-019-00422-6",{"id":22,"text":1823,"url":22,"identifiers":1824},"Ossa-Arias MDM, González-Martínez S (2021) Methane production from the organic fraction of municipal solid waste under psychrophilic, mesophilic, and thermophilic temperatures at different organic loading rates. Waste Biomass Valorization 12(9):4859–4871",{"doi":1825},"10.1007\u002Fs12649-021-01354-9",{"id":22,"text":1827,"url":22,"identifiers":1828},"Xiao Y, Zan F, Zhang W, Hao T (2022) Alleviating nutrient imbalance of low carbon-to-nitrogen ratio food waste in anaerobic digestion by controlling the inoculum-to-substrate ratio. Bioresour Technol 346:126342",{"doi":1829},"10.1016\u002Fj.biortech.2021.126342",{"id":22,"text":1831,"url":22,"identifiers":1832},"Salminen EA, Rintala JA (2002) Semi-continuous anaerobic digestion of solid poultry slaughterhouse waste: effect of hydraulic retention time and loading. Water Res 36(13):3175–3182. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0043-1354(02)00010-6",{"doi":1833},"10.1016\u002FS0043-1354(02)00010-6",{"id":22,"text":1835,"url":22,"identifiers":1836},"Deng L et al (2016) Effects of hydraulic retention time and bioflocculant addition on membrane fouling in a sponge-submerged membrane bioreactor. Bioresour Technol 210:11–17. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biortech.2016.01.056",{"doi":1837},"10.1016\u002Fj.biortech.2016.01.056",{"id":22,"text":1839,"url":22,"identifiers":1840},"Curletto C, Bulla L, Canovi L, Demicheli F, Venturino E (2023) A mathematical investigation for the simulation and forecasting of a biodigester operations. Math Comput Simul 209:118–152",{"doi":1841},"10.1016\u002Fj.matcom.2023.02.002",{"id":22,"text":1843,"url":22,"identifiers":1844},"Smaluch K, Wollenhaupt B, Steinhoff H, Kohlheyer D, Grünberger A, Dusny C (2023) Assessing the growth kinetics and stoichiometry of Escherichia coli at the single-cell level. Eng Life Sci 23(1):e2100157",{"doi":1845},"10.1002\u002Felsc.202100157",{"id":22,"text":1847,"url":22,"identifiers":1848},"Ajayi-Banji A, Rahman S (2022) A review of process parameters influence in solid-state anaerobic digestion: Focus on performance stability thresholds. Renew Sustain Energy Rev 167:112756",{"doi":1849},"10.1016\u002Fj.rser.2022.112756",{"id":22,"text":1851,"url":22,"identifiers":1852},"De Clercq D, Wen Z, Fei F, Caicedo L, Yuan K, Shang R (2020) Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion. Sci Total Environ 712:134574",{"doi":1853},"10.1016\u002Fj.scitotenv.2019.134574",{"id":22,"text":1855,"url":22,"identifiers":1856},"Rudin C (2019) Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nat Machine Intell 1(5):206–215",{"doi":1857},"10.1038\u002Fs42256-019-0048-x",{"id":22,"text":1859,"url":22,"identifiers":1860},"Olatunji OO, Akinlabi S, Madushele N, Adedeji PA (2021) A GA-ANFIS Model for the Prediction of Biomass Elemental Properties. Trends Manufact Eng Manage:1099–1114",{"doi":1861},"10.1007\u002F978-981-15-4745-4_95",{"id":22,"text":1863,"url":22,"identifiers":1864},"Lakovic N et al (2021) Management of higher heating value sensitivity of biomass by hybrid learning technique. Biomass Convers Bioref:1–8",{"doi":1865},"10.1007\u002Fs13399-020-01223-w",{"id":22,"text":1867,"url":22,"identifiers":1868},"Phromphithak S, Onsree T, Tippayawong N (2021) Machine learning prediction of cellulose-rich materials from biomass pretreatment with ionic liquid solvents. Bioresour Technol:124642",{"doi":1869},"10.1016\u002Fj.biortech.2020.124642",{"id":22,"text":1871,"url":22,"identifiers":1872},"Khatri N, Khatri KK (2022) Artificial intelligence for modeling and optimization of the biogas production. Artif Intell Renew Energy Syst:93–113",{"doi":1873},"10.1002\u002F9781119761686.ch4",{"id":22,"text":1875,"url":22,"identifiers":1876},"Arismendy L, Cárdenas C, Gómez D, Maturana A, Mejía R, Quintero MCG (2020) Intelligent system for the predictive analysis of an industrial wastewater treatment process. Sustainability 12(16):6348",{"doi":1877},"10.3390\u002Fsu12166348",{"id":22,"text":1879,"url":22,"identifiers":1880},"Cruz IA et al (2022) Application of machine learning in anaerobic digestion: perspectives and challenges. Bioresour Technol 345:126433",{"doi":1881},"10.1016\u002Fj.biortech.2021.126433",{"id":22,"text":1883,"url":22,"identifiers":1884},"Baitha R, Kaushal R (2019) Experimental and numerical study of biogas, methane and carbon dioxide produced by pre-treated wheat straw and pre-digested cow dung. Int J Sustain Eng 12(4):240–247",{"doi":1885},"10.1080\u002F19397038.2019.1605548",{"id":22,"text":1887,"url":22,"identifiers":1888},"Baitha R, Kaushal R (2020) Numerical and experimental study of biogas, methane and carbon dioxide produced by pre-treated slurry. Int J Ambient Energy 41(2):198–204",{"doi":1889},"10.1080\u002F01430750.2018.1456966",{"id":22,"text":1891,"url":22,"identifiers":1892},"Kanat G, Saral A (2009) Estimation of biogas production rate in a thermophilic UASB reactor using artificial neural networks. Environ Model Assess 14(5):607–614",{"doi":1893},"10.1007\u002Fs10666-008-9150-x",{"id":22,"text":1895,"url":22,"identifiers":1896},"Heydari B, Sharghi EA, Rafiee S, Mohtasebi SS (2021) Use of artificial neural network and adaptive neuro-fuzzy inference system for prediction of biogas production from spearmint essential oil wastewater treatment in up-flow anaerobic sludge blanket reactor. Fuel 306:121734",{"doi":1897},"10.1016\u002Fj.fuel.2021.121734",{"id":22,"text":1899,"url":22,"identifiers":1900},"Neto JG, Ozorio LV, de Abreu TCC, Dos Santos BF, Pradelle F (2021) Modeling of biogas production from food, fruits and vegetables wastes using artificial neural network (ANN). Fuel 285:119081",{"doi":1901},"10.1016\u002Fj.fuel.2020.119081",{"id":22,"text":1903,"url":22,"identifiers":1904},"Almomani F (2020) Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network. Fuel 280:118573. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.fuel.2020.118573",{"doi":1905},"10.1016\u002Fj.fuel.2020.118573",{"id":22,"text":1907,"url":22,"identifiers":1908},"Chong DJS, Chan YJ, Arumugasamy SK, Yazdi SK, Lim JW (2023) Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME). Energy 266:126449. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2022.126449",{"doi":1909},"10.1016\u002Fj.energy.2022.126449",{"id":22,"text":1911,"url":22,"identifiers":1912},"Najafi B, Faizollahzadeh Ardabili S (2018) Application of ANFIS, ANN, and logistic methods in estimating biogas production from spent mushroom compost (SMC). Resourc Conserv Recycl 133:169–178. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.resconrec.2018.02.025",{"doi":1913},"10.1016\u002Fj.resconrec.2018.02.025",{"id":22,"text":1915,"url":22,"identifiers":1916},"Fan M et al (2017) Artificial neural network modeling and genetic algorithm optimization for cadmium removal from aqueous solutions by reduced graphene oxide-supported nanoscale zero-valent iron (nZVI\u002FrGO) composites. Materials 10(5):544",{"doi":1917},"10.3390\u002Fma10050544",{"id":22,"text":1919,"url":22,"identifiers":1920},"Alizadeh M, Lewis M, Zarandi MHF, Jolai F (2011) Determining significant parameters in the design of ANFIS. In: 2011 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, pp 1–6",{},{"id":22,"text":1922,"url":22,"identifiers":1923},"Abraham A (2001) Neuro fuzzy systems: state-of-the-art modeling techniques. In: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001 Proceedings, Part 1 6. Springer, pp 269–276",{"doi":1924},"10.1007\u002F3-540-45720-8_30",{"id":22,"text":1926,"url":22,"identifiers":1927},"Şahin M, Erol R (2017) A comparative study of neural networks and ANFIS for forecasting attendance rate of soccer games. Math Comput Appl 22(4):43",{},{"id":22,"text":1929,"url":22,"identifiers":1930},"Adedeji PA, Akinlabi S, Madushele N, Olatunji OO (2020) Wind turbine power output short-term forecast: a comparative study of data clustering techniques in a PSO-ANFIS model. J Clean Prod:120135",{"doi":1931},"10.1016\u002Fj.jclepro.2020.120135",{"id":22,"text":1933,"url":22,"identifiers":1934},"Aghbashlo M et al (2021) Describing biomass pyrolysis kinetics using a generic hybrid intelligent model: a critical stage in sustainable waste-oriented biorefineries. Renew Energy 170:81–91",{"doi":1935},"10.1016\u002Fj.renene.2021.01.111",{"id":22,"text":1937,"url":22,"identifiers":1938},"Oladipo S, Sun Y, Amole A (2022) Performance evaluation of the impact of clustering methods and parameters on adaptive neuro-fuzzy inference system models for electricity consumption prediction during COVID-19. Energies 15(21):7863",{"doi":1939},"10.3390\u002Fen15217863",{"id":22,"text":1941,"url":22,"identifiers":1942},"Al-Shammari ET et al (2016) Comparative study of clustering methods for wake effect analysis in wind farm. Energy 95:573–579",{"doi":1943},"10.1016\u002Fj.energy.2015.11.064",{"id":22,"text":1945,"url":22,"identifiers":1946},"Rouhibakhsh K, Darvish H, Sabzgholami H, Goodarzi MS (2018) Application of ANFIS-GA as a novel and accurate tool for estimation of interfacial tension of carbon dioxide and hydrocarbon. Petroleum Sci Technol 36(15):1143–1149",{"doi":1947},"10.1080\u002F10916466.2018.1465959",{"id":22,"text":1949,"url":22,"identifiers":1950},"Esfandyari M, Esfandyari M, Jafari D (2018) Prediction of thiophene removal from diesel using [BMIM][AlCl4] in EDS Process: GA-ANFIS and PSO-ANFIS modeling. Petroleum Sci Technol:1–7",{"doi":1951},"10.1080\u002F10916466.2018.1471500",{"id":22,"text":1953,"url":22,"identifiers":1954},"Armaghani DJ, Mohamad ET, Hajihassani M, Yagiz S, Motaghedi H (2016) Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances. Eng Comput 32(2):189–206",{"doi":1955},"10.1007\u002Fs00366-015-0410-5",{"id":22,"text":1957,"url":22,"identifiers":1958},"Yang X-S (2021) Chapter 6 - Genetic Algorithms. In: Yang X-S (ed) Nature-Inspired Optimization Algorithms, Second edn. Academic Press, pp 91–100",{"doi":1959},"10.1016\u002FB978-0-12-821986-7.00013-5",{"id":22,"text":1961,"url":22,"identifiers":1962},"Adedeji PA, Olatunji OO, Madushele N, Ajayeoba AO (2021) Soft computing in renewable energy system modeling. In: Design, Analysis, and Applications of Renewable Energy Systems. Elsevier, pp 79–102",{"doi":1963},"10.1016\u002FB978-0-12-824555-2.00026-5",{"id":22,"text":1965,"url":22,"identifiers":1966},"Moayedi H, Raftari M, Sharifi A, Jusoh WAW, Rashid ASA (2020) Optimization of ANFIS with GA and PSO estimating α ratio in driven piles. Eng Comput 36(1):227–238",{"doi":1967},"10.1007\u002Fs00366-018-00694-w",{"id":22,"text":1969,"url":22,"identifiers":1970},"Li H-A et al (2021) Neural network-based mapping mining of image style transfer in big data systems. Comput Intell Neurosci 2021",{"doi":1971},"10.1155\u002F2021\u002F8387382",{"id":22,"text":1973,"url":22,"identifiers":1974},"Baghban A, Ebadi T (2019) GA-ANFIS modeling of higher heating value of wastes: Application to fuel upgrading. Energy Sourc Part A: Recover Util Environ Effects 41(1):7–13",{"doi":1975},"10.1080\u002F15567036.2017.1344746",{"id":22,"text":1977,"url":22,"identifiers":1978},"Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man-Machine Stud 7(1):1–13",{"doi":1979},"10.1016\u002FS0020-7373(75)80002-2",{"id":22,"text":1981,"url":22,"identifiers":1982},"Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cyber 1:116–132",{"doi":1983},"10.1109\u002FTSMC.1985.6313399",{"id":22,"text":1985,"url":22,"identifiers":1986},"Yeom C-U, Kwak K-C (2018) Performance comparison of ANFIS models by input space partitioning methods. Symmetry 10(12):700",{"doi":1987},"10.3390\u002Fsym10120700",{"id":22,"text":1989,"url":22,"identifiers":1990},"Karaboga D, Kaya E (2018) Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey. Artif Intell Rev:1–31",{"doi":1991},"10.1007\u002Fs10462-017-9610-2",{"id":22,"text":1993,"url":22,"identifiers":1994},"Miller DJ, Nelson CA, Cannon MB, Cannon KP (2009) Comparison of fuzzy clustering methods and their applications to geophysics data. Appl Comput Intell Soft Comput 2009",{"doi":1995},"10.1155\u002F2009\u002F876361",{"id":22,"text":1997,"url":22,"identifiers":1998},"Olatunji OO, Adedeji PA, Madushele N, Akinlabi S, DiCarlo AA (2022) Modelling biomass elemental composition: a neurofuzzy approach. Proc Comput Sci 200:1736–1745. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.procs.2022.01.374",{"doi":1999},"10.1016\u002Fj.procs.2022.01.374",{"id":22,"text":2001,"url":22,"identifiers":2002},"Rao UM, Sood Y, Jarial R (2015) Subtractive clustering fuzzy expert system for engineering applications. Proc Comput Sci 48:77–83",{"doi":2003},"10.1016\u002Fj.procs.2015.04.153",{"id":22,"text":2005,"url":22,"identifiers":2006},"Dunn JC (1973) A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters",{"doi":2007},"10.1080\u002F01969727308546046",{"id":22,"text":2009,"url":22,"identifiers":2010},"Bezdek JC (2013) Pattern recognition with fuzzy objective function algorithms. Springer Science & Business Media",{},{"id":22,"text":2012,"url":22,"identifiers":2013},"Chiu SL (1994) Fuzzy model identification based on cluster estimation. J Intell Fuzzy Syst 2(3):267–278",{"doi":2014},"10.3233\u002FIFS-1994-2306",{"id":22,"text":2016,"url":22,"identifiers":2017},"Benmouiza K, Cheknane A (2019) Clustered ANFIS network using fuzzy c-means, subtractive clustering, and grid partitioning for hourly solar radiation forecasting. Theor Appl Climatol 137(1):31–43",{"doi":2018},"10.1007\u002Fs00704-018-2576-4",{"id":22,"text":2020,"url":22,"identifiers":2021},"Chen M-S, Wang S-W (1999) Fuzzy clustering analysis for optimizing fuzzy membership functions. Fuzzy Sets Syst 103(2):239–254",{"doi":2022},"10.1016\u002FS0165-0114(98)00224-3",{"id":22,"text":2024,"url":22,"identifiers":2025},"Devaraj R, Mahalingam SK, Esakki B, Astarita A, Mirjalili S (2022) A hybrid GA-ANFIS and F-Race tuned harmony search algorithm for multi-response optimization of non-traditional machining process. Exp Syst Appl 199:116965",{"doi":2026},"10.1016\u002Fj.eswa.2022.116965",{"id":22,"text":2028,"url":22,"identifiers":2029},"Tang R, Fong S (2018) Clustering big IoT data by metaheuristic optimized mini-batch and parallel partition-based DGC in Hadoop. Future Gen Comput Syst 86:1395–1412",{"doi":2030},"10.1016\u002Fj.future.2018.03.006",{"id":22,"text":2032,"url":22,"identifiers":2033},"Adedeji PA, Akinlabi S, Madushele N, Olatunji OO (2020) Wind turbine power output very short-term forecast: a comparative study of data clustering techniques in a PSO-ANFIS model. J Clean Prod 254:120135",{"doi":1931},{"id":22,"text":2035,"url":22,"identifiers":2036},"Olatunji OO, Akinlabi S, Madushele N, Adedeji PA (2019) Estimation of the elemental composition of biomass using hybrid adaptive neuro-fuzzy inference system. BioEnergy Res 12(3):642–652",{"doi":2037},"10.1007\u002Fs12155-019-10009-6",{"id":22,"text":2039,"url":22,"identifiers":2040},"Sandhu S, Kaushal R (2022) Optimisation of anaerobic digestion of layer manure, breeding manure and cow dung using grey relational analysis. Biomass Convers Bioref:1–13",{"doi":2041},"10.1007\u002Fs13399-022-02677-w",{"id":22,"text":2043,"url":22,"identifiers":2044},"Tabatabaei M, Valijanian E, Aghbashlo M, Ghanavati H, Sulaiman A, Wakisaka M (2018) Prominent parameters in biogas production systems. Biogas: Fundamentals Process Operation:135–161",{"doi":2045},"10.1007\u002F978-3-319-77335-3_6",{"id":22,"text":2047,"url":22,"identifiers":2048},"Yang L, Huang Y, Zhao M, Huang Z, Miao H, Xu Z, Ruan W (2015) Enhancing biogas generation performance from food wastes by high-solids thermophilic anaerobic digestion: Effect of pH adjustment. Int Biodeterior Biodegradation 105:153–159",{"doi":2049},"10.1016\u002Fj.ibiod.2015.09.005",{"id":22,"text":2051,"url":22,"identifiers":2052},"Zealand A, Roskilly A, Graham D (2017) Effect of feeding frequency and organic loading rate on biomethane production in the anaerobic digestion of rice straw. Applied Energy 207:156–165",{"doi":2053},"10.1016\u002Fj.apenergy.2017.05.170",{"id":22,"text":2055,"url":22,"identifiers":2056},"Moriarty K (2013) Feasibility Study of Anaerobic Digestion of Food Waste in St. Bernard, Louisiana. In: A study prepared in partnership with the environmental protection agency for the RE-powering America's land initiative: siting renewable energy on potentially contaminated land and mine sites. National Renewable Energy Lab.(NREL), Golden, CO (United States)",{},{"id":22,"text":2058,"url":22,"identifiers":2059},"Mao C, Feng Y, Wang X, Ren G (2015) Review on research achievements of biogas from anaerobic digestion. Renew Sustain Energy Rev 45:540–555",{"doi":2060},"10.1016\u002Fj.rser.2015.02.032",{"id":22,"text":2062,"url":22,"identifiers":2063},"Hossain MS et al (2022) Impact of temperature, inoculum flow pattern, inoculum type, and their ratio on dry anaerobic digestion for biogas production. Sci Rep 12(1):6162",{"doi":2064},"10.1038\u002Fs41598-022-10025-1",{"id":22,"text":2066,"url":22,"identifiers":2067},"Kaushal R, Baitha R (2021) Biogas and methane yield enhancement using graphene oxide nanoparticles and Ca (OH) 2 pre-treatment in anaerobic digestion. Int J Ambient Energy 42(6):618–625",{"doi":2068},"10.1080\u002F01430750.2018.1562975",{"id":22,"text":2070,"url":22,"identifiers":2071},"Memon KH, Lee D-H (2018) Generalised kernel weighted fuzzy C-means clustering algorithm with local information. Fuzzy Sets Syst 340:91–108",{"doi":2072},"10.1016\u002Fj.fss.2018.01.019",{"id":22,"text":2074,"url":22,"identifiers":2075},"Song J, Cong W, Li J (2017) A Fuzzy C-means Clustering Algorithm for Image Segmentation Using Nonlinear Weighted Local Information. J Inf Hiding Multim Signal Process 8(3):578–588",{},{"id":22,"text":2077,"url":22,"identifiers":2078},"Smith JN, Reece L, Szaniszlo P, Leary RC, Leary JF (2005) Subtractive clustering analysis: a novel data mining method for finding cell subpopulations. In: Imaging, Manipulation, and Analysis of Biomolecules and Cells: Fundamentals and Applications III, vol 5699. SPIE, pp 354–361",{},{"id":2080,"createTime":2081,"updateTime":2082,"relativeEntities":2083,"slug":2084,"properties":2085,"entityType":110,"verifyStatus":248,"verifyTime":2094,"verifyNote":250,"languages":22,"translateLanguages":22,"viewCount":23,"primaryUrl":2095,"fullTextUrl":22,"authors":2096,"publicationType":181,"publisherRelationship":2295,"citationCount":23,"citationInfo":2343,"publishDate":2346,"publishYear":2344,"citationAnalyzeStatus":1766,"lastCitationAnalyze":2082,"indexDatabases":2347,"openAccess":22,"references":2348,"isForceReanalyzing":231},"c9ce13e4-03b3-4a90-8092-d1d54a3fc991","2024-01-14T13:48:16.066+00:00","2026-08-20T02:41:59.457+00:00",[],"RETRACTED-ARTICLE-Computational-evaluation-of-microalgae-biomass-conversion-to-biodiesel",{"abstract":2086,"title":2088,"gsPaper":2090,"doi":2092},{"EN":2087},"Since there are large requirements for green energy sustainability, in this study, optimization of in situ transesterification of microalgae slurry conversion into biodiesel was performed. The main aim was to perform a selection procedure of the optimal predictors for fatty acid methyl ester yield and exergy efficiency in situ transesterification process. The adaptive neuro fuzzy inference system (ANFIS) as a soft computing approach was used for the optimization of the predictors for the fatty acid methyl ester yield and exergy efficiency. Based on the obtained results, the optimal combination for fatty acid methyl ester yield was ultrasonic power and reaction time while the optimal combination for the exergy efficiency was concentrations of methanol and chloroform in oil. These selected predictors could be used effectively in order to maximize the fatty acid methyl ester yield and exergy efficiency.",{"EN":2089},"RETRACTED ARTICLE: Computational evaluation of microalgae biomass conversion to biodiesel",{"VOID":2091},"[\"12352742310281774905\"]",{"VOID":2093},"10.1007\u002Fs13399-021-01314-2","2024-05-09T22:50:33.617+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13399-021-01314-2",[2097,2112,2127,2151,2168,2201,2216,2231,2247,2263,2279],{"id":2098,"sortIndex":23,"researcher":22,"roles":2099,"affiliations":2100,"properties":2109,"displayName":2111,"givenName":22,"familyName":22},"aae5ca07-a1fe-4f94-9f29-7eb46562fd67",[118],[2101],{"id":2102,"sortIndex":23,"affiliation":2103,"properties":22},"b6226b2d-5616-47c3-9ce0-69a1fc9fba94",{"id":2102,"createTime":22,"updateTime":22,"relativeEntities":2104,"slug":22,"properties":2105,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2108,"statistic":22},[],{"title":2106},{"VI":2107},"Faculty of Information Technology, Alfa BK University, Belgrade, Serbia",[],{"title":2110},{"VI":2111},"Momir Milić",{"id":2113,"sortIndex":85,"researcher":22,"roles":2114,"affiliations":2115,"properties":2124,"displayName":2126,"givenName":22,"familyName":22},"f2b484b2-f32b-4807-91a3-ce4764b37ab0",[118],[2116],{"id":2117,"sortIndex":23,"affiliation":2118,"properties":22},"526d3454-25fe-41dc-86c9-cd938ab076f7",{"id":2117,"createTime":22,"updateTime":22,"relativeEntities":2119,"slug":22,"properties":2120,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2123,"statistic":22},[],{"title":2121},{"VI":2122},"Faculty of Economics, University of Kragujevac, Kragujevac, Serbia",[],{"title":2125},{"VI":2126},"Biljana Petković",{"id":2128,"sortIndex":155,"researcher":22,"roles":2129,"affiliations":2130,"properties":2148,"displayName":2150,"givenName":22,"familyName":22},"cb700502-0f99-48aa-bde7-c3d1b03fb8fb",[118],[2131,2139],{"id":2132,"sortIndex":23,"affiliation":2133,"properties":22},"b28d9598-45ba-4806-8ba2-6d7cdfa6de93",{"id":2132,"createTime":22,"updateTime":22,"relativeEntities":2134,"slug":22,"properties":2135,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2138,"statistic":22},[],{"title":2136},{"VI":2137},"Department of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia",[],{"id":2140,"sortIndex":85,"affiliation":2141,"properties":2147},"60291774-526e-4e97-a5f0-9b390e4e31be",{"id":2140,"createTime":22,"updateTime":22,"relativeEntities":2142,"slug":22,"properties":2143,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2146,"statistic":22},[],{"title":2144},{"VI":2145},"Civil Engineering Laboratory, Ecole Nationale d’Ingénieurs deTunis (ENIT), Tunis, Tunisia",[],{},{"title":2149},{"VI":2150},"Abdellatif Selmi",{"id":2152,"sortIndex":169,"researcher":22,"roles":2153,"affiliations":2154,"properties":2163,"displayName":2165,"givenName":22,"familyName":22},"18ee8d92-75f2-43ab-814a-0e8abdde8593",[118],[2155],{"id":2156,"sortIndex":23,"affiliation":2157,"properties":22},"4dd6a7ff-d88c-48ac-8dce-39fbab3c9587",{"id":2156,"createTime":22,"updateTime":22,"relativeEntities":2158,"slug":22,"properties":2159,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2162,"statistic":22},[],{"title":2160},{"EN":2161},"Pedagogical Faculty in Vranje, University of Niš, Vranje, Serbia",[],{"title":2164,"gsAuthor":2166},{"VI":2165},"Dalibor Petković",{"VOID":2167},"[\"Ng40n4AAAAAJ\"]",{"id":2169,"sortIndex":313,"researcher":22,"roles":2170,"affiliations":2171,"properties":2198,"displayName":2200,"givenName":22,"familyName":22},"a0a2896c-b1c0-411a-8a19-283eaa1fd0b6",[118],[2172,2180,2189],{"id":2173,"sortIndex":23,"affiliation":2174,"properties":22},"15453ba8-9ffd-4235-a512-136ba06d325a",{"id":2173,"createTime":22,"updateTime":22,"relativeEntities":2175,"slug":22,"properties":2176,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2179,"statistic":22},[],{"title":2177},{"EN":2178},"Institute of Research and Development, Duy Tan University, Da Nang, Vietnam",[],{"id":2181,"sortIndex":85,"affiliation":2182,"properties":2188},"d445ad71-d2ec-4a98-98fc-8beee48f7ad2",{"id":2181,"createTime":22,"updateTime":22,"relativeEntities":2183,"slug":22,"properties":2184,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2187,"statistic":22},[],{"title":2185},{"VI":2186},"Faculty of Humanities and Social Sciences, Duy Tan University, Da Nang, Vietnam",[],{},{"id":2190,"sortIndex":155,"affiliation":2191,"properties":2197},"85cc7e86-973c-42d6-aafe-97ace20bcbf9",{"id":2190,"createTime":22,"updateTime":22,"relativeEntities":2192,"slug":22,"properties":2193,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2196,"statistic":22},[],{"title":2194},{"VI":2195},"MBA School, Henan University of Economics and Law, Zhengzhou, China",[],{},{"title":2199},{"VI":2200},"Kittisak Jermsittiparsert",{"id":2202,"sortIndex":327,"researcher":22,"roles":2203,"affiliations":2204,"properties":2213,"displayName":2215,"givenName":22,"familyName":22},"81a42de7-e82c-49a1-a2b6-8adffea9a173",[118],[2205],{"id":2206,"sortIndex":23,"affiliation":2207,"properties":22},"a64c07c5-0df3-4201-8eaf-5e2b12a51095",{"id":2206,"createTime":22,"updateTime":22,"relativeEntities":2208,"slug":22,"properties":2209,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2212,"statistic":22},[],{"title":2210},{"VI":2211},"Faculty of Sciences and Mathematics, University of Niš, Niš, Serbia",[],{"title":2214},{"VI":2215},"Aleksandar Radivojević",{"id":2217,"sortIndex":341,"researcher":22,"roles":2218,"affiliations":2219,"properties":2228,"displayName":2230,"givenName":22,"familyName":22},"9a9ec58d-c343-4109-81b0-408b30301e42",[118],[2220],{"id":2221,"sortIndex":23,"affiliation":2222,"properties":22},"257c25a0-6311-4dfa-a5bb-306947819ae0",{"id":2221,"createTime":22,"updateTime":22,"relativeEntities":2223,"slug":22,"properties":2224,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2227,"statistic":22},[],{"title":2225},{"VI":2226},"Faculty of Mechanical Engineering, University of Niš, Niš, Serbia",[],{"title":2229},{"VI":2230},"Milos Milovancevic",{"id":2232,"sortIndex":2233,"researcher":22,"roles":2234,"affiliations":2235,"properties":2244,"displayName":2246,"givenName":22,"familyName":22},"f1cc5e71-7c9a-4c2a-bfd1-4c9852a39ebd",7,[118],[2236],{"id":2237,"sortIndex":23,"affiliation":2238,"properties":22},"03953308-30ef-42e8-97b6-0306d3449ccd",{"id":2237,"createTime":22,"updateTime":22,"relativeEntities":2239,"slug":22,"properties":2240,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2243,"statistic":22},[],{"title":2241},{"EN":2242},"Institute of Engineering and Technology, Department of Hydraulics and Hydraulic and Pneumatic Systems, South Ural State University (SUSU), Chelyabinsk, Russian Federation",[],{"title":2245},{"VI":2246},"Afrasyab Khan",{"id":2248,"sortIndex":2249,"researcher":22,"roles":2250,"affiliations":2251,"properties":2260,"displayName":2262,"givenName":22,"familyName":22},"f7968d23-9135-4264-b5c9-3badf59420a3",8,[118],[2252],{"id":2253,"sortIndex":23,"affiliation":2254,"properties":22},"ca7570f2-7ae3-459d-b172-cf5a3fab73be",{"id":2253,"createTime":22,"updateTime":22,"relativeEntities":2255,"slug":22,"properties":2256,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2259,"statistic":22},[],{"title":2257},{"VI":2258},"Teacher Education Faculty, University in Priština - Kosovska Mitrovica, Leposavić, Serbia",[],{"title":2261},{"VI":2262},"Slađana T. Vidosavljević",{"id":2264,"sortIndex":2265,"researcher":22,"roles":2266,"affiliations":2267,"properties":2276,"displayName":2278,"givenName":22,"familyName":22},"c90aa31e-a60c-4a6f-8996-904432c6c05a",9,[118],[2268],{"id":2269,"sortIndex":23,"affiliation":2270,"properties":22},"996f3934-71ef-43a3-8f6e-4a959b785390",{"id":2269,"createTime":22,"updateTime":22,"relativeEntities":2271,"slug":22,"properties":2272,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2275,"statistic":22},[],{"title":2273},{"VI":2274},"Faculty of Science and Mathematics, University of Priština, Kosovska, Mitrovica, Serbia",[],{"title":2277},{"VI":2278},"Nebojša Denić",{"id":2280,"sortIndex":2281,"researcher":22,"roles":2282,"affiliations":2283,"properties":2292,"displayName":2294,"givenName":22,"familyName":22},"6014e9cb-c3f6-47b5-9b17-621e30743c69",10,[118],[2284],{"id":2285,"sortIndex":23,"affiliation":2286,"properties":22},"2964ffd1-8ac9-403c-bca5-d080240fb6d6",{"id":2285,"createTime":22,"updateTime":22,"relativeEntities":2287,"slug":22,"properties":2288,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2291,"statistic":22},[],{"title":2289},{"EN":2290},"Institute of Agricultural Economics, Belgrade, Serbia",[],{"title":2293},{"VI":2294},"Boris Kuzman",{"url":2095,"publisher":2296,"properties":2338},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":2297,"slug":10,"properties":2298,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":2302,"manageAffiliations":2307,"indexDatabases":2318,"url":22,"thumbnailPath":22,"statistic":2333,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":2299,"title":2300,"eissn":2301},{"VOID":15},{"EN":17},{"VOID":13},[2303],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":2304,"label":2305,"description":2306,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[2308,2313],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":2309,"slug":22,"properties":2310,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2312,"statistic":22},[],{"title":2311},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":2314,"slug":22,"properties":2315,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2317,"statistic":22},[],{"title":2316},{"EN":45},[39],[2319,2326],{"id":49,"indexDatabase":2320,"url":60,"indexYears":61,"academicFieldIds":2325,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":2321,"label":2322,"description":2323,"key":57,"publicationTags":2324,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":2327,"url":79,"indexYears":22,"academicFieldIds":2332,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":2328,"label":2329,"description":2330,"key":75,"publicationTags":2331,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":2334,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":2335,"totalCitation":23,"totalCitationByYear":2336,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":2337,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"pages":2339,"volume":2341},{"VOID":2340},"3179-3186",{"VOID":2342},"13",{"total":23,"publishYear":2344,"statisticByYear":2345},2021,{},"2021-02-24",[64,77],[2349,2354,2360,2366,2372,2378,2384,2390,2396,2399,2402,2405,2411,2417,2420,2423,2429,2435,2441,2444,2450,2453,2456,2459,2462,2465,2471,2474,2477,2480,2483,2486,2489,2492,2495,2498,2501,2507,2510,2516,2519,2522,2525,2531,2534,2537,2540,2546,2552,2555,2558,2561,2564,2570,2576,2582,2588,2591,2594,2597,2600,2606,2609,2612,2615,2618,2621,2624,2627,2630,2633,2639,2642,2644,2647,2650,2653,2656,2659,2662,2665,2668,2674,2677,2679,2681,2684,2687,2690,2693,2696,2702,2705,2708,2711,2714,2717,2720,2723],{"id":2350,"text":2351,"url":2352,"identifiers":2353},"82aa12c1-7aaa-45ce-83a7-5c12e158d1e3","Lakovic N, Khan A, Petković B, Petkovic D, Kuzman B, Resic S, ... Azam S (2021) Management of higher heating value sensitivity of biomass by hybrid learning technique. Biomass Convers Biorefin:1-8. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13399-020-01223-w","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs13399-020-01223-w",{"doi":1865},{"id":2355,"text":2356,"url":2357,"identifiers":2358},"b098085a-e468-4f10-9a30-84cca4c90613","Zhao X, Fourie A, Qi C-c (2019) An analytical solution for evaluating the safety of an exposed face in a paste backfill stope incorporating the arching phenomenon. Int J Miner Metall Mater 26(10):1206–1216","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12613-019-1885-7",{"doi":2359},"10.1007\u002Fs12613-019-1885-7",{"id":2361,"text":2362,"url":2363,"identifiers":2364},"ab3ff7af-9ae1-4fe8-9cc6-5b89bfb5c7ed","Xu Z, Fourie A, Qi C-c (2020) Mechanics and safety issues in tailing-based backfill: A review. Int J Miner Metall Mater 27(9):1165–1178","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12613-020-2004-5",{"doi":2365},"10.1007\u002Fs12613-020-2004-5",{"id":2367,"text":2368,"url":2369,"identifiers":2370},"d3ac1ffc-e97b-4d41-9454-138b622162b4","Xu Z, Fourie A, Veenstra R, Qi C-c (2020) Safety of barricades in cemented paste-backfilled stopes. Int J Miner Metall Mater 27(8):1054–1064","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12613-020-2006-3",{"doi":2371},"10.1007\u002Fs12613-020-2006-3",{"id":2373,"text":2374,"url":2375,"identifiers":2376},"83227a69-f858-45b6-9311-3352b5661dbd","Kim B, Heo HY, Son J, Yang J, Chang YK, Lee JH, Lee JW (2019) Simplifying biodiesel production from microalgae via wet in situ transesterification: a review in current research and future prospects. Algal Res 41:101557","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2211926418309688",{"doi":2377},"10.1016\u002Fj.algal.2019.101557",{"id":2379,"text":2380,"url":2381,"identifiers":2382},"4c68646b-0035-4279-8000-0006b275d4fa","Priyanka P, Kinsella GK, Henehan GT, Ryan BJ (2020) Enzymatic in-situ transesterification of neutral lipids from simulated wastewater cultured Chlorella emersonii and Pseudokirchneriella subcapitata to sustainably produce fatty acid methyl esters. Bioresource Technology Reports 11:100489","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10440-022-00541-7",{"doi":2383},"10.1007\u002Fs10440-022-00541-7",{"id":2385,"text":2386,"url":2387,"identifiers":2388},"91e9241b-1756-4992-82d3-20865c88fc57","Chen CL, Huang CC, Ho KC, Hsiao PX, Wu MS, Chang JS (2015) Biodiesel production from wet microalgae feedstock using sequential wet extraction\u002Ftransesterification and direct transesterification processes. Bioresour Technol 194:179–186","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0960852415009748",{"doi":2389},"10.1016\u002Fj.biortech.2015.07.021",{"id":2391,"text":2392,"url":2393,"identifiers":2394},"1cb3f5cd-d25f-4a8b-bb08-baf2aa68842a","Goh BHH, Ong HC, Cheah MY, Chen WH, Yu KL, Mahlia TMI (2019) Sustainability of direct biodiesel synthesis from microalgae biomass: a critical review. Renew Sust Energ Rev 107:59–74","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1364032119301054",{"doi":2395},"10.1016\u002Fj.rser.2019.02.012",{"id":2379,"text":2397,"url":2381,"identifiers":2398},"Karatay SE, Demiray E, Dönmez G (2019) Efficient approaches to convert Coniochaeta hoffmannii lipids into biodiesel by in-situ transesterification. Bioresour Technol 285:121321",{"doi":2383},{"id":2379,"text":2400,"url":2381,"identifiers":2401},"Kim B, Park J, Son J, Lee JW (2017) Catalyst-free production of alkyl esters from microalgae via combined wet in situ transesterification and hydrothermal liquefaction (iTHL). Bioresour Technol 244:423–432",{"doi":2383},{"id":2379,"text":2403,"url":2381,"identifiers":2404},"Law SQ, Halim R, Scales PJ, Martin GJ (2018) Conversion and recovery of saponifiable lipids from microalgae using a nonpolar solvent via lipase-assisted extraction. Bioresour Technol 260:338–347",{"doi":2383},{"id":2406,"text":2407,"url":2408,"identifiers":2409},"e9793c0f-72e3-4605-b7bb-fe53e8b6070a","Tan XB, Lam MK, Uemura Y, Lim JW, Wong CY, Lee KT (2018) Cultivation of microalgae for biodiesel production: a review on upstream and downstream processing. Chin J Chem Eng 26(1):17–30","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1004954117304305",{"doi":2410},"10.1016\u002Fj.cjche.2017.08.010",{"id":2412,"text":2413,"url":2414,"identifiers":2415},"f5c6faba-92ab-48d1-b1da-93d23f564855","Fazal T, Mushtaq A, Rehman F, Khan AU, Rashid N, Farooq W et al (2018) Bioremediation of textile wastewater and successive biodiesel production using microalgae. Renew Sust Energ Rev 82:3107–3126","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1364032117314016",{"doi":2416},"10.1016\u002Fj.rser.2017.10.029",{"id":2379,"text":2418,"url":2381,"identifiers":2419},"Tran DT, Chang JS, Lee DJ (2017) Recent insights into continuous-flow biodiesel production via catalytic and non-catalytic transesterification processes. Appl Energy 185:376–409",{"doi":2383},{"id":2379,"text":2421,"url":2381,"identifiers":2422},"Yellapu SK, Kaur R, Kumar LR, Tiwari B, Zhang X, Tyagi RD (2018) Recent developments of downstream processing for microbial lipids and conversion to biodiesel. Bioresour Technol 256:515–528",{"doi":2383},{"id":2424,"text":2425,"url":2426,"identifiers":2427},"a550c4cf-ad3f-47e6-a081-7cc321feeec0","Liu J, Liu Y, Wang X (2020) An environmental assessment model of construction and demolition waste based on system dynamics: a case study in Guangzhou. Environ Sci Pollut Res 27(30):37237–37259","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11356-019-07107-5",{"doi":2428},"10.1007\u002Fs11356-019-07107-5",{"id":2430,"text":2431,"url":2432,"identifiers":2433},"7e66e8c2-ea4f-4963-8c12-ae078ef98e0d","Liu J, Yi Y, Wang X (2020) Exploring factors influencing construction waste reduction: A structural equation modeling approach. J Clean Prod 276:123185","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0959652620332303",{"doi":2434},"10.1016\u002Fj.jclepro.2020.123185",{"id":2436,"text":2437,"url":2438,"identifiers":2439},"d7739182-23a1-4473-9e98-25e273cff129","Zhang W, Hu Y, Liu J, Wang H, Wei J, Sun P, Wu L, Zheng H (2020) Progress of ethylene action mechanism and its application on plant type formation in crops. Saudi J Biol Sci 27(6):1667–1673","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1319562X19303389",{"doi":2440},"10.1016\u002Fj.sjbs.2019.12.038",{"id":2379,"text":2442,"url":2381,"identifiers":2443},"Wang L, Yang T, Wang B, Lin Q, Zhu S, Li C, Ma Y, Tang J, Xing J, Li X, Liao H, Staiger D, Zhiqiang H, Feng Y (2020) RALF1-FERONIA complex affects splicing dynamics to modulate stress responses and growth in plants. Sci Adv 6(21):eaaz1622",{"doi":2383},{"id":2445,"text":2446,"url":2447,"identifiers":2448},"1f407eda-695d-4c3d-b909-a27c64a75527","Qi C-c (2020) Big data management in the mining industry. Int J Miner Metall Mater 27(2):131–139","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs12613-019-1937-z",{"doi":2449},"10.1007\u002Fs12613-019-1937-z",{"id":2379,"text":2451,"url":2381,"identifiers":2452},"Chao M, Kai C, Zhiwei Z (2020) Research on tobacco foreign body detection device based on machine vision. Trans Inst Meas Control 42(15):2857–2871",{"doi":2383},{"id":2379,"text":2454,"url":2381,"identifiers":2455},"Mi C, Cao L, Zhang Z, Feng Y, Yao L, Wu Y (2020) A Port Container Code Recognition Algorithm under Natural Conditions. J Coast Res 103(sp1):822",{"doi":2383},{"id":2379,"text":2457,"url":2381,"identifiers":2458},"Xu M, Li T, Wang Z, Deng X, Yang R, Guan Z (2018) Reducing complexity of HEVC: A deep learning approach. IEEE Trans Image Process 27(10):5044–5059",{"doi":2383},{"id":2379,"text":2460,"url":2381,"identifiers":2461},"Ren J, Zhang C, Hao Q (2021) A theoretical method to evaluate honeynet potency. Futur Gener Comput Syst 116:76–85",{"doi":2383},{"id":2379,"text":2463,"url":2381,"identifiers":2464},"Xue Q, Zhu Y, Wang J (2019) Joint distribution estimation and Naïve Bayes classification under local differential privacy. IEEE Trans Emerg Top Comput",{"doi":2383},{"id":2466,"text":2467,"url":2468,"identifiers":2469},"f6dffa73-0dc3-42be-9896-2359a58cb211","Lv Z, Kumar N (2020) Software defined solutions for sensors in 6G\u002FIoE. Comput Commun 153:42–47","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0140366419312861",{"doi":2470},"10.1016\u002Fj.comcom.2020.01.060",{"id":2379,"text":2472,"url":2381,"identifiers":2473},"Lv Z, Song H (2019) Mobile internet of things under data physical fusion technology. IEEE Internet Things J 7(5):4616–4624",{"doi":2383},{"id":2379,"text":2475,"url":2381,"identifiers":2476},"Lv Z, Xiu W (2019) Interaction of edge-cloud computing based on SDN and NFV for next generation IoT. IEEE Internet Things J 7(7):5706–5712",{"doi":2383},{"id":2379,"text":2478,"url":2381,"identifiers":2479},"Cao B, Zhao J, Gu Y, Fan S, Yang P (2019) Security-aware industrial wireless sensor network deployment optimization. IEEE Trans Ind Inf 16(8):5309–5316",{"doi":2383},{"id":2379,"text":2481,"url":2381,"identifiers":2482},"Cao B, Zhao J, Yang P, Gu Y, Muhammad K, Rodrigues JJ, de Albuquerque VHC (2019) Multiobjective 3-D topology optimization of nextgeneration wireless data center network. IEEE Trans Ind Inf 16(5):3597–3605",{"doi":2383},{"id":2379,"text":2484,"url":2381,"identifiers":2485},"Cao B, Wang X, Zhang W, Song H, Lv Z (2020) A many-objective optimization model of industrial internet of things based on private blockchain. IEEE Netw 34(5):78–83",{"doi":2383},{"id":2379,"text":2487,"url":2381,"identifiers":2488},"Ni T, Yao Y, Chang H, Lu L, Liang H, Yan A et al (2019) LCHR-TSV: Novel low cost and highly repairable honeycomb-based TSV redundancy architecture for clustered faults. IEEE Trans Comput Aided Des Integr Circuits Syst 39(10):2938–2951",{"doi":2383},{"id":2379,"text":2490,"url":2381,"identifiers":2491},"Ni T, Chang H, Song T, Xu Q, Huang Z, Liang H et al (2019) Non-intrusive online distributed pulse shrinking-based interconnect testing in 2.5 D IC. IEEE Trans Circuits Syst Express Briefs 67(11):2657–2661",{"doi":2383},{"id":2379,"text":2493,"url":2381,"identifiers":2494},"Wang L, Huang Y, Xie Y, Du Y (2020) A new regularization method for dynamic load identification. Sci Prog 103(3) 0036850420931283",{"doi":2383},{"id":2367,"text":2496,"url":2369,"identifiers":2497},"Zhao X, Fourie A, Veenstra R, Qi CC (2020) Safety of barricades in cemented paste-backfilled stopes. Int J Miner Metall Mater 27(8):1054–1064",{"doi":2371},{"id":2361,"text":2499,"url":2363,"identifiers":2500},"Zhao X, Fourie A, Qi C-c (2020) Mechanics and safety issues in tailing-based backfill: a review. Int J Miner Metall Mater 27(9):1165–1178",{"doi":2365},{"id":2502,"text":2503,"url":2504,"identifiers":2505},"24ac14e5-1f0a-4e07-a484-ee5577120ec6","Katebi, J., et al., Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures. Eng Comput, 2019: p. 1–20","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs00366-019-00780-7",{"doi":2506},"10.1007\u002Fs00366-019-00780-7",{"id":2379,"text":2508,"url":2381,"identifiers":2509},"Mansouri I, Shariati M, Safa M, Ibrahim Z, Tahir MM, Petković D (2019) Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique. J Intell Manuf 30(3):1247–1257",{"doi":2383},{"id":2511,"text":2512,"url":2513,"identifiers":2514},"201e7558-ba7f-42fb-9174-1060a8266877","Milovancevic M et al (2019) UML diagrams for dynamical monitoring of rail vehicles. Physica A: Statistical Mechanics and its Applications 53:121169","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0378437119307009",{"doi":2515},"10.1016\u002Fj.physa.2019.121169",{"id":2379,"text":2517,"url":2381,"identifiers":2518},"Mohammadhassani M, Nezamabadi-pour H, Suhatril M, Shariati M (2013) Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams. Struct Eng Mech 46(6):853–868",{"doi":2383},{"id":2379,"text":2520,"url":2381,"identifiers":2521},"Liu C et al (2020) Computational estimation of the earthquake response for fibre reinforced concrete rectangular columns. Steel and Composite Structures 34(5):743–767",{"doi":2383},{"id":2379,"text":2523,"url":2381,"identifiers":2524},"Cao Y et al (2020) Computational earthquake performance of plan-irregular shear wall structures subjected to different earthquake shock situations. Earthquakes and Structures 18(5):567–580",{"doi":2383},{"id":2526,"text":2527,"url":2528,"identifiers":2529},"0f670706-7812-4071-a1fc-4b9915b5cf2b","Cao, Y., et al. Application of extreme learning machine in behavior of beam to column connections. In Structures. 2020. Elsevier","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2352012420301417",{"doi":2530},"10.1016\u002Fj.istruc.2020.03.058",{"id":2379,"text":2532,"url":2381,"identifiers":2533},"Cao, Y., et al. Computational parameter identification of strongest influence on the shear resistance of reinforced concrete beams by fiber reinforcement polymer. In Structures. 2020. Elsevier",{"doi":2383},{"id":2379,"text":2535,"url":2381,"identifiers":2536},"Alyousef R et al (2020) A model to develop the porosity of concrete as important mechanical property. Smart Structures and Systems 26(2):147–156",{"doi":2383},{"id":22,"text":2538,"url":22,"identifiers":2539},"Alaskar, A., et al., Development of Pozzolanic material from clay Advances in concrete construction, 2020. 10(4): p. 301–310",{},{"id":2541,"text":2542,"url":2543,"identifiers":2544},"d398cfe0-cb08-47f9-b925-058aba4791c4","Alabduljabbar, H., et al. Prediction of the flexural behavior of corroded concrete beams using combined method. In Structures. 2020. Elsevier","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2352012420301405",{"doi":2545},"10.1016\u002Fj.istruc.2020.03.057",{"id":2547,"text":2548,"url":2549,"identifiers":2550},"c633e877-9e27-4b32-b797-6645ac838a5f","Shenggui Chen MK, Hassanzadeh-Aghdam RA (2018) An analytical model for elastic modulus calculation of SiC whisker-reinforced hybrid metal matrix nanocomposite containing SiC nanoparticles. J Alloys Compd 767:632–641","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0925838818326033",{"doi":2551},"10.1016\u002Fj.jallcom.2018.07.102",{"id":2379,"text":2553,"url":2381,"identifiers":2554},"Mou B, Zhao F, Qiao Q, Wang L, Li H, He B, Hao Z (2019) Flexural behavior of beam to column joints with or without an overlying concrete slab. Eng Struct 199:109616",{"doi":2383},{"id":2379,"text":2556,"url":2381,"identifiers":2557},"Mou B, Li X, Bai Y, Wang L (2019) Shear Behavior of Panel Zones in Steel Beam-to-Column Connections with Unequal Depth of Outer Annular Stiffener. J Struct Eng 145(2):04018247",{"doi":2383},{"id":2379,"text":2559,"url":2381,"identifiers":2560},"Fu X, Fortino G, Li W, Pace P, Yang Y (2019) WSNs-assisted opportunistic network for low-latency message forwarding in sparse settings. Futur Gener Comput Syst 91:223–237",{"doi":2383},{"id":2379,"text":2562,"url":2381,"identifiers":2563},"Fu X, Yang Y (2020) Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks. Reliab Eng Syst Saf 197:106815",{"doi":2383},{"id":2565,"text":2566,"url":2567,"identifiers":2568},"c3d9d8cb-f2d5-4186-a631-21c617008830","Fu X, Pace P, Aloi G, Yang L, Fortino G (2020) Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm. Comput Netw 177:107327","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1389128619317888",{"doi":2569},"10.1016\u002Fj.comnet.2020.107327",{"id":2571,"text":2572,"url":2573,"identifiers":2574},"b6dbb759-693d-4734-8458-c19c33bf323e","Mou B, Bai Y (2018) Experimental investigation on shear behavior of steel beam-to-CFST column connections with irregular panel zone. Eng Struct 168:487–504","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0141029617332133",{"doi":2575},"10.1016\u002Fj.engstruct.2018.04.029",{"id":2577,"text":2578,"url":2579,"identifiers":2580},"843127ab-16a5-48c5-b074-48f49d266704","Zhu J, Wang X, Chen M, Wu P, Kim MJ (2019) Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach. Autom Constr 106:102859","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0926580519302468",{"doi":2581},"10.1016\u002Fj.autcon.2019.102859",{"id":2583,"text":2584,"url":2585,"identifiers":2586},"6ead2e9b-3693-4e72-ae29-9d3fddba1f25","Wu C, Wang X, Chen M, Kim MJ (2019) Differential received signal strength based RFID positioning for construction equipment tracking. Adv Eng Inform 42:100960","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1474034619302083",{"doi":2587},"10.1016\u002Fj.aei.2019.100960",{"id":2379,"text":2589,"url":2381,"identifiers":2590},"Liao Q, Wei W, Zuo H, Li X, Yang Z, Xiao S, Wu G (2020) Interfacial bonding enhancement and properties improvement of carbon\u002Fcopper composites based on nickel doping. Compos Interfaces:1–13",{"doi":2383},{"id":2379,"text":2592,"url":2381,"identifiers":2593},"Li X, Zhu Y, Wang J (2019) Highly efficient privacy preserving location-based services with enhanced one-round blind filter. IEEE Trans Emerg Top Comput",{"doi":2383},{"id":2379,"text":2595,"url":2381,"identifiers":2596},"Tsai Y-H, Wang J, Chien W-T, Wei C-Y, Wang X, Hsieh S-H (2019) A BIM-based approach for predicting corrosion under insulation. Autom Constr 107:102923",{"doi":2383},{"id":2379,"text":2598,"url":2381,"identifiers":2599},"Qiu T, Shi X, Wang J, Li Y, Qu S, Cheng Q, Cui T, Sui S (2019) Deep Learning: A Rapid and Efficient Route to Automatic Metasurface Design. Adv Sci 6(12):1900128",{"doi":2383},{"id":2601,"text":2602,"url":2603,"identifiers":2604},"f243b215-7ebc-4766-b7c9-c29bb3593c88","Chen H, An C, Lili X, Xie H, Qiao H, Lin Q, Cai K (2020) A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources. Agric Water Manag 106303:240","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0378377420307642",{"doi":2605},"10.1016\u002Fj.agwat.2020.106303",{"id":2379,"text":2607,"url":2381,"identifiers":2608},"Safa M, Shariati M, Ibrahim Z, Toghroli A, Baharom SB, Nor NM, Petkovic D (2016) Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam’s shear strength. Steel Compos Struct 21(3):679–688",{"doi":2383},{"id":2379,"text":2610,"url":2381,"identifiers":2611},"Toghroli A, Mohammadhassani M, Suhatril M, Shariati M, Ibrahim Z (2014) Prediction of shear capacity of channel shear connectors using the ANFIS model. Steel and Composite Structures 17(5):623–639",{"doi":2383},{"id":2379,"text":2613,"url":2381,"identifiers":2614},"Mohammadhassani M, Nezamabadi-pour H, Suhatril M, shariati M (2014) An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups. Smart Struct Syst Int J 14(5):785–809",{"doi":2383},{"id":2379,"text":2616,"url":2381,"identifiers":2617},"Sedghi Y et al (2018) Application of ANFIS technique on performance of C and L shaped angle shear connectors. Smart Structures and Systems 22(3):335–340",{"doi":2383},{"id":2379,"text":2619,"url":2381,"identifiers":2620},"Shariati M, Mafipour MS, Mehrabi P, Bahadori A, Zandi Y, Salih MNA, Nguyen H, Dou J, Song X, Poi-Ngian S (2019) Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and high-strength concrete. Appl Sci 9(24):5534",{"doi":2383},{"id":2379,"text":2622,"url":2381,"identifiers":2623},"Shariati, M., et al., A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques. Engineering with Computers: p. 1–21",{"doi":2383},{"id":2379,"text":2625,"url":2381,"identifiers":2626},"Li Z-G, Cheng H, Gu T-Y (2019) Research on dynamic relationship between natural gas consumption and economic growth in China. Struct Chang Econ Dyn 49:334–339",{"doi":2383},{"id":2379,"text":2628,"url":2381,"identifiers":2629},"Lv Z, Qiao L (2020) Analysis of healthcare big data. Futur Gener Comput Syst 109:103–110",{"doi":2383},{"id":2379,"text":2631,"url":2381,"identifiers":2632},"Lv Z, Qiao L (2020) Deep belief network and linear perceptron based cognitive computing for collaborative robots. Appl Soft Comput 92:106300",{"doi":2383},{"id":2634,"text":2635,"url":2636,"identifiers":2637},"225c53b6-a4a6-4e05-8a67-c73bf8c45127","Cao B, Fan S, Zhao J, Yang P, Muhammad K, Tanveer M (2020) Quantum-enhanced multiobjective large-scale optimization via parallelism. Swarm Evol Comput 57:100697","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2210650219307990",{"doi":2638},"10.1016\u002Fj.swevo.2020.100697",{"id":2379,"text":2640,"url":2381,"identifiers":2641},"Cao B, Zhao J, Yu G, Ling Y, Ma X (2020) Applying graph-based differential grouping for multiobjective large-scale optimization. Swarm Evol Comput 53:100626",{"doi":2383},{"id":2601,"text":2602,"url":2603,"identifiers":2643},{"doi":2605},{"id":2379,"text":2645,"url":2381,"identifiers":2646},"Qian J, Feng S, Tao T, Hu Y, Li Y, Chen Q, Zuo C (2020) Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3d shape measurement. APL Photonics 5(4):046105",{"doi":2383},{"id":2379,"text":2648,"url":2381,"identifiers":2649},"Li T, Xu M, Zhu C, Yang R, Wang Z, Guan Z (2019) A deep learning approach for multi-frame in-loop filter of HEVC. IEEE Trans Image Process 28(11):5663–5678",{"doi":2383},{"id":2379,"text":2651,"url":2381,"identifiers":2652},"Jiang Q, Wang G, Jin S, Li Y, Wang Y (2013) Predicting human microRNA-disease associations based on support vector machine. Int J Data Min Bioinform 8(3):282–293",{"doi":2383},{"id":2379,"text":2654,"url":2381,"identifiers":2655},"Suhatril, M., et al., Significance of surface eco-protection techniques for cohesive soils slope in Selangor, Malaysia. Geotechnical and Geological Engineering, 2019. 37(3, pp ): p. 2007–2014",{"doi":2383},{"id":2379,"text":2657,"url":2381,"identifiers":2658},"Toghroli A, Suhatril M, Ibrahim Z, Safa M, Shariati M, Shamshirband S (2018) Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam. J Intell Manuf 29(8):1793–1801",{"doi":2383},{"id":2379,"text":2660,"url":2381,"identifiers":2661},"Trung NT et al (2019) Moment-rotation prediction of precast beam-to-column connections using extreme learning machine. Struct Eng Mech 70(5):639–647",{"doi":2383},{"id":2379,"text":2663,"url":2381,"identifiers":2664},"Mohammadhassani, M., et al., An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups. Smart Struct. Syst., Int. J, 2014. 14(5): p. 785–809",{"doi":2383},{"id":2379,"text":2666,"url":2381,"identifiers":2667},"Sadeghipour Chahnasir E et al (2018) Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors. Smart structures and systems 22(4):413–424",{"doi":2383},{"id":2669,"text":2670,"url":2671,"identifiers":2672},"56e80d7e-70b5-41b5-b249-13da2217702c","Safa, M., et al., Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes. Physica A, 2020. (accepted)","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS037843711932237X",{"doi":2673},"10.1016\u002Fj.physa.2019.124046",{"id":2379,"text":2675,"url":2381,"identifiers":2676},"Safa M, Shariati M, Ibrahim Z, Toghroli A, Baharom SB, Nor NM, Petkovic D (2016) Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam’s shear strength. Steel and Composite Structures 21(3):679–688",{"doi":2383},{"id":2355,"text":2356,"url":2357,"identifiers":2678},{"doi":2359},{"id":2445,"text":2446,"url":2447,"identifiers":2680},{"doi":2449},{"id":2379,"text":2682,"url":2381,"identifiers":2683},"Jang, J.-S.R, ANFIS: adaptive-network-based fuzzy inference systems, IEEE Trans. On Systems, Man, and Cybernetics (1993), Vol.23, 665–685",{"doi":2383},{"id":2379,"text":2685,"url":2381,"identifiers":2686},"Chen H, Qiao H, Xu L, Feng Q, Cai K (2019) A fuzzy optimization strategy for the implementation of RBF LSSVR model in vis–NIR analysis of pomelo maturity. IEEE Trans Ind Inf 15(11):5971–5979",{"doi":2383},{"id":2379,"text":2688,"url":2381,"identifiers":2689},"Zhang C, Chen Z, Wang J, Liu Z, Chen CP (2020) Fuzzy adaptive two-bit-triggered control for a class of uncertain nonlinear systems with actuator failures and dead-zone constraint. IEEE Trans Cybern",{"doi":2383},{"id":2379,"text":2691,"url":2381,"identifiers":2692},"Chen Z, Wang J, Ma K, Huang X, Wang T (2020) Fuzzy adaptive two‐bits‐triggered control for nonlinear uncertain system with input saturation and output constraint. Int J Adapt Control Signal Process 34(4):543–559",{"doi":2383},{"id":2379,"text":2694,"url":2381,"identifiers":2695},"Wang J, Huang Y, Wang T, Zhang C, Liu Y h (2020) Fuzzy finite-time stable compensation control for a building structural vibration system with actuator failures. Appl Soft Comput 93:106372",{"doi":2383},{"id":2697,"text":2698,"url":2699,"identifiers":2700},"2683e2c5-211c-455e-89f5-2d610ff6a91c","Yue H, Wang H, Chen H, Cai K, Jin Y (2020) Automatic detection of feather defects using Lie group and fuzzy Fisher criterion for shuttlecock production. Mech Syst Signal Process 141:106690","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0888327020300765",{"doi":2701},"10.1016\u002Fj.ymssp.2020.106690",{"id":2379,"text":2703,"url":2381,"identifiers":2704},"Cao B, Dong W, Lv Z, Gu Y, Singh S, Kumar P (2020) Hybrid microgrid many-objective sizing optimization with fuzzy decision. IEEE Trans Fuzzy Syst 28(11):2702–2710",{"doi":2383},{"id":2379,"text":2706,"url":2381,"identifiers":2707},"Karimi M (2017) Exergy-based optimization of direct conversion of microalgae biomass to biodiesel. J Clean Prod 141:50–55",{"doi":2383},{"id":22,"text":2709,"url":22,"identifiers":2710},"Bligh EG, Dyer WJ (1959) A rapid method of total lipid extraction and purification. Can J Biochem Physiol 37(8):911–917",{},{"id":2379,"text":2712,"url":2381,"identifiers":2713},"Trung NT, Shahgoli AF, Zandi Y, Shariati M, Wakil K, Safa M, Khorami M (2019) Moment-rotation prediction of precast beam-to-column connections using extreme learning machine. Struct Eng Mech 70(5):639–647",{"doi":2383},{"id":2379,"text":2715,"url":2381,"identifiers":2716},"Shariati M, Mafipour MS, Mehrabi P, Zandi Y, Dehghani D, Bahadori A et al (2019) Application of extreme learning machine (ELM) and genetic programming (GP) to design steel-concrete composite floor systems at elevated temperatures. Steel and Composite Structures 33(3):319–332",{"doi":2383},{"id":22,"text":2718,"url":22,"identifiers":2719},"Luo Z, Sinaei H, Ibrahim Z, Shariati M, Jumaat Z, Wakil K et al (2019) Computational and experimental analysis of beam to column joints reinforced with CFRP plates. Steel and Composite Structures 30(3):271–280",{},{"id":2379,"text":2721,"url":2381,"identifiers":2722},"Shariati M, Mafipour MS, Mehrabi P, Bahadori A, Zandi Y, Salih MN et al (2019) Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and high-strength concrete. Appl Sci 9(24):5534",{"doi":2383},{"id":2379,"text":2724,"url":2381,"identifiers":2725},"Shariati, M., Mafipour, M. S., Mehrabi, P., Shariati, A., Toghroli, A., Trung, N. T., & Salih, M. N. (2020). A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques. Engineering with Computers, 1-21",{"doi":2383},{"id":2727,"createTime":2728,"updateTime":2729,"relativeEntities":2730,"slug":2731,"properties":2732,"entityType":110,"verifyStatus":248,"verifyTime":2743,"verifyNote":250,"languages":22,"translateLanguages":22,"viewCount":23,"primaryUrl":2744,"fullTextUrl":22,"authors":2745,"publicationType":181,"publisherRelationship":2914,"citationCount":23,"citationInfo":2960,"publishDate":2962,"publishYear":229,"citationAnalyzeStatus":1766,"lastCitationAnalyze":2729,"indexDatabases":2963,"openAccess":22,"references":22,"isForceReanalyzing":231},"245417ee-5af7-4a70-8136-c205121e6b1d","2023-12-31T05:17:51.342+00:00","2026-08-17T06:21:11.375+00:00",[],"Green-synthesis-of-gold-nanoparticles-using-Halymenia-pseudofloresii-extracts-and-their-antioxidant-antimicrobial-and-anti-cancer-activities",{"abstract":2733,"title":2735,"gsPaper":2737,"references":2739,"doi":2741},{"EN":2734},"Gold nanoparticles (AuNPs) have a numerous biomedical applications including their antioxidant, antimicrobial, and anticancer applications. We have synthesized AuNPs laced with the extracts of red algae Halymenia pseudofloresii using the green method (Hp-AuNPs). The synthesized nanoparticles were characterized by UV spectroscopy, XRD, FTIR, and SEM. In UV spectroscopy, Hp-AuNP’s surface plasmon resonance (SPR) peak was discovered to be at 545 nm, which initially confirmed the formation of nanoparticles. The X-ray diffraction analysis confirmed the biosynthesized Hp-AuNP structures to be crystal in nature. Bioactive molecules, such as phenolic compounds and carboxylic groups, were identified by FTIR analysis as contributing to the reduction of Hp-AuNPs. The scanning electron microscope (SEM) analysis was used to identify the Hp-AuNP morphology as cubic and rectangular structures with 27 nm size. The antioxidant activity demonstrated that H. pseudofloresii extract (61.3%) and synthesized Hp-AuNPs (71.87%) effectively inhibited the DPPH radicals at 50 µg\u002FmL concentration. The Hp-AuNPs exhibited efficient antibacterial effects against Staphylococcus aureus (24 mm), Lactobacillus (23 mm), and Pseudomonas aeruginosa (22 mm). The biosynthesized Hp-AuNPs showed potential cytotoxic activity against A549 lung cancer (IC50 = 19.02 µg\u002FmL) than LN-18 glioblastoma cancer cells (IC50 = 32.46 µg\u002FmL). Hence, further anticancer screening was tested against lung cancer cells. In the clonogenic assay, Hp-AuNPs effectively control the lung cancer cell colony formation at the concentration of 30 µg\u002FmL, whereas the Hp-AuNPs induce apoptotic activity in lung cancer cells was confirmed through reactive oxygen species (ROS) generation assay. Therefore, the unique biologically synthesized Hp-AuNPs have the ability to function as an anticancer agent, and they may further be used for a variety of biomedical purposes.\n",{"EN":2736},"Green synthesis of gold nanoparticles using Halymenia pseudofloresii extracts and their antioxidant, antimicrobial, and anti-cancer activities",{"VOID":2738},"[\"10848400376919782529\"]",{"VOID":2740},"Clarance P, Luvankar B, Sales J, Khusro A, Agastian P, Tack JC, Al Khulaifi MM, Al-Shwaiman HA, Elgorban AM, Syed A, Kim HJ (2020) Green synthesis and characterization of gold nanoparticles using endophytic fungi Fusarium solani and its in-vitro anticancer and biomedical applications. Saudi J Biol Sci 27(2):706–712. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.sjbs.2019.12.026\nViswanathan S, Palaniyandi T, Shanmugam R, Rajendran BK, Sivaji A (2022) Biomedical potential of silver nanoparticles capped with active ingredients of Hypnea valentiae, red algae species. Part Sci Technol 40(6):686–696. https:\u002F\u002Fdoi.org\u002F10.1080\u002F02726351.2021.1992059\nSandhiya V, Gomathy B, Sivasankaran MR, Thirunavukkarasu P, Mugip Rahaman A, Asha S (2021) Green synthesis of silver nanoparticles from Guava (Psidium guajava Linn) leaf for antibacterial, antioxidant and cytotoxic activity on HT-29 cells (Colon cancer). Ann Romanian Soc Cell Biol 25(6):20148–20163 (https:\u002F\u002Fwww.annalsofrscb.ro\u002Findex.php\u002Fjournal\u002Farticle\u002Fview\u002F10001)\nMitchell MJ, Billingsley MM, Haley RM, Wechsler ME, Peppas NA, Langer R (2021) Engineering precision nanoparticles for drug delivery. Nat Rev Drug Discov 20(2):101–124. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41573-020-0090-8\nHammami I, Alabdallah NM (2021) Gold nanoparticles: synthesis properties and applications. J King Saud Univ-Sci 33(7):101560. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jksus.2021.101560\nBabu B, Palanisamy S, Vinosha M, Anjali R, Kumar P, Pandi B, Tabarsa M, You S, Prabhu NM (2020) Bioengineered gold nanoparticles from marine seaweed Acanthophora spicifera for pharmaceutical uses: antioxidant, antibacterial, and anticancer activities. Bioprocess Biosyst Eng 43(12):2231–2242. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00449-020-02408-3\nD’Acunto M, Cioni P, Gabellieri E, Presciuttini G (2021) Exploiting gold nanoparticles for diagnosis and cancer treatments. Nanotechnology 32(19):192001. https:\u002F\u002Fdoi.org\u002F10.1088\u002F1361-6528\u002Fabe1ed\nTaha RH (2022) Green synthesis of silver and gold nanoparticles and their potential applications as therapeutics in cancer therapy; a review. Inorg Chem Commun 109610. https:\u002F\u002Fdoi.org\u002F10.1166\u002Fjbn.2022.3420\nBade BC, Cruz CSD (2020) Lung cancer 2020: epidemiology, etiology, and prevention. Clin Chest Med 41(1):1–24. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ccm.2019.10.001\nHowlader N, Forjaz G, Mooradian MJ, Meza R, Kong CY, Cronin KA, Mariotto AB, Lowy DR, Feuer EJ (2020) The effect of advances in lung-cancer treatment on population mortality. N Engl J Med 383(7):640–649. https:\u002F\u002Fdoi.org\u002F10.1056\u002FNEJMoa1916623\nPranav P, Palaniyandi T, Baskar G, Ravi M, Rajendran BK, Sivaji A, Ranganathan M (2022) Gene expressions and their significance in organoid cultures obtained from breast cancer patient-derived biopsies. Acta Histochem 124(5):151910. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.acthis.2022.151910\nAghebati-Maleki A, Dolati S, Ahmadi M, Baghbanzhadeh A, Asadi M, Fotouhi A, Yousefi M, Aghebati-Maleki L (2020) Nanoparticles and cancer therapy: Perspectives for application of nanoparticles in the treatment of cancers. J Cell Physiol 235(3):1962–1972. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjcp.29126\nCarrasco-Esteban E, Domínguez-Rullán JA, Barrionuevo-Castillo P, Pelari-Mici L, Leaman O, Sastre-Gallego S, López-Campos F (2021) Current role of nanoparticles in the treatment of lung cancer. J Clin Transl Res 7(2):140. https:\u002F\u002Fdoi.org\u002F10.18053\u002Fjctres.07.202102.005\nMmola M, Roes-Hill ML, Durrell K, Bolton JJ, Sibuyi N, Meyer ME, Beukes DR, Antunes E (2016) Enhanced antimicrobial and anticancer activity of silver and gold nanoparticles synthesised using Sargassum incisifolium aqueous extracts. Molecules 21(12):1633. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmolecules21121633\nZhu X, Radovic-Moreno AF, Wu J, Langer R, Shi J (2014) Nanomedicine in the management of microbial infection–overview and perspectives. Nano Today 9(4):478–498. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.nantod.2014.06.003\nFarzin A, Etesami SA, Quint J, Memic A, Tamayol A (2020) Magnetic nanoparticles in cancer therapy and diagnosis. Adv Healthcare Mater 9(9):1901058. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fadhm.201901058\nRónavári A, Igaz N, Adamecz DI, Szerencsés B, Molnar C, Kónya Z, Pfeiffer I, Kiricsi M (2021) Green silver and gold nanoparticles: Biological synthesis approaches and potentials for biomedical applications. Molecules 26(4):844. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmolecules26040844\nVemuri SK, Banala RR, Mukherjee S, Uppula P, Subbaiah GPVAVGR, Malarvilli T (2019) Novel biosynthesized gold nanoparticles as anti-cancer agents against breast cancer: Synthesis, biological evaluation, molecular modelling studies. Mat Sci Eng: C 99:417–429. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.msec.2019.01.123\nEl-Kassas HY, El-Sheekh MM (2014) Cytotoxic activity of biosynthesized gold nanoparticles with an extract of the red seaweed Corallina officinalis on the MCF-7 human breast cancer cell line. Asian Pac J Cancer Prev 15(10):4311–4317. https:\u002F\u002Fdoi.org\u002F10.7314\u002FAPJCP.2014.15.10.4311\nChellapandian C, Ramkumar B, Puja P, Shanmuganathan R, Pugazhendhi A, Kumar P (2019) Gold nanoparticles using red seaweed Gracilaria verrucosa: green synthesis, characterization and biocompatibility studies. Process Biochem 80:58–63. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.procbio.2019.02.009\nAlgotiml R, Gab-Alla A, Seoudi R, Abulreesh HH, El-Readi MZ, Elbanna K (2022) Anticancer and antimicrobial activity of biosynthesized Red Sea marine algal silver nanoparticles. Sci Rep 12(1):1–18. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-022-06412-3\nVinosha M, Palanisamy S, Muthukrishnan R, Selvam S, Kannapiran E, You S, Prabhu NM (2019) Biogenic synthesis of gold nanoparticles from Halymenia dilatata for pharmaceutical applications: Antioxidant, anti-cancer and antibacterial activities. Process Biochem 85:219–229. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.procbio.2019.07.013\nManam D, Kiran V, Murugesan S (2013) Biogenic silver nanoparticles by Halymenia poryphyroides and its in vitro anti-diabetic efficacy. J Chem Pharm Res 5(12):1001–1008 (https:\u002F\u002Fssrn.com\u002Fabstract=3498917)\nViswanathan S, Palaniyandi T, Kannaki P, Shanmugam R, Baskar G, Rahaman AM, Paul LTD, Rajendran BK, Sivaji A (2022) Biogenic synthesis of gold nanoparticles using red seaweed Champia parvula and its anti-oxidant and anticarcinogenic activity on lung cancer. Part Sci Technol 1–9. https:\u002F\u002Fdoi.org\u002F10.1080\u002F02726351.2022.2074926\nSandhiya V, Thirunavukkarasu P, Gomathy B, Sridhar M, Rajeshkumar S, Ravi M, Asha S (2021) Agnp-Hp synthesized using red marine algae Halymenia pseudofloresii and its pharmacological activities. Ann Rom Soc Cell Biol 25(6):19433–50 (https:\u002F\u002Fannalsofrscb.ro\u002Findex.php\u002Fjournal\u002Farticle\u002Fview\u002F9758)\nPalaniyandi T, Reddy RK, Natrajan S, Ranganathan M, Hari R, Sivaji A, Viswanathan S (2021) Anti-proliferative effect of Ceriopsdecandra derived fraction against Human gastric cancer on AGS cell line. Ann Rom Soc Cell Biol 25(6):20422–20448 (https:\u002F\u002Fwww.annalsofrscb.ro\u002Findex.php\u002Fjournal\u002Farticle\u002Fview\u002F10098)\nJung J, Park SJ, Chung HK, Kang HW, Lee SW, Seo MH, Park HJ, Song SY, Jeong SY, Choi EK (2012) Polymeric nanoparticles containing taxanes enhance chemoradiotherapeutic efficacy in non-small cell lung cancer. Int J RadiatOncol* Biol* Phys 84(1):e77–e83. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijrobp.2012.02.030\nAcharya D, Satapathy S, Somu P, Parida UK, Mishra G (2021) Apoptotic effect and anticancer activity of biosynthesized silver nanoparticles from marine algae Chaetomorpha linum extract against human colon cancer cell HCT-116. Biol Trace Elem Res 199(5):1812–1822. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12011-020-02304-7\nWang L, Xu J, Yan Y, Liu H, Li F (2019) Synthesis of gold nanoparticles from leaf Panax notoginseng and its anticancer activity in pancreatic cancer PANC-1 cell lines. Artif Cells Nanomed Biotechnol 47(1):1216–1223. https:\u002F\u002Fdoi.org\u002F10.1080\u002F21691401.2019.1593852\nFu Y, Xie D, Zhu Y, Zhang X, Yue H, Zhu K, Pi Z, Dai Y (2022) Anti-colorectal cancer effects of seaweed-derived bioactive compounds. Front Med 9:988507. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffmed.2022.988507\nAlegria EC, Ribeiro AP, Mendes M, Ferraria AM, Rego AMBD, Pombeiro AJ (2018) Effect of phenolic compounds on the synthesis of gold nanoparticles and its catalytic activity in the reduction of nitro compounds. Nanomaterials 8(5):320. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fnano8050320\nRoseline TA, Murugan M, Sudhakar MP, Arunkumar K (2019) Nanopesticidal potential of silver nanocomposites synthesized from the aqueous extracts of red seaweeds. Environ Technol Innov 13:82–93. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.eti.2018.10.005\nFrancis PK, Sivadasan S, Avarachan A. and Gopinath A (2019) A novel green synthesis of gold nanoparticles using seaweed Lobophora variegata and its potential application in the reduction of nitrophenols. Part Sci Technol. https:\u002F\u002Fdoi.org\u002F10.1080\u002F02726351.2018.1547340\nTorres SK, Campos VL, León CG, Rodríguez-Llamazares SM, Rojas SM, Gonzalez M, Smith C, Mondaca MA (2012) Biosynthesis of selenium nanoparticles by Pantoea agglomerans and their antioxidant activity. J Nanopart Res 14(11):1–9. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11051-012-1236-3\nPalaniyandi T, Sivaji A, Thirugnanasambandam R, Durairaj P, Reddy RK, Vishwanathan S (2020) Isolation and identification of anti-oxidant fraction from active extract of Rhizophora mucronata Poir. leaves. Pharm Chem J 54(4):380–385\nMartínez-Cabanas M, López-García M, Rodríguez-Barro P, Vilariño T, Lodeiro P, Herrero R, Barriada JL, Sastre de Vicente ME (2021) Antioxidant capacity assessment of plant extracts for green synthesis of nanoparticles. Nanomaterials 11(7):1679. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fnano11071679\nRuidas B, Som Chaudhury S, Pal K, Sarkar PK, Das Mukhopadhyay C (2019) A novel herbometallic nanodrug has the potential for antibacterial and anticancer activity through oxidative damage. Nanomedicine 14(9):1173–1189. https:\u002F\u002Fdoi.org\u002F10.2217\u002Fnnm-2018-0187\nKrishnamoorthi R, Bharathakumar S, Malaikozhundan B, Mahalingam PU (2021) Mycofabrication of gold nanoparticles: optimization, characterization, stabilization and evaluation of its antimicrobial potential on selected human pathogens. Biocatalysis Agric Biotechnol 35:102107. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.bcab.2021.102107\nSingh RP, Kumari P, Reddy CRK (2015) Antimicrobial compounds from seaweeds-associated bacteria and fungi. Appl Microbiol Biotechnol 99(4):1571–1586. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00253-014-6334-y\nMahmood H, Hussain SB, Nosheen A, Mahmood T, Shafique M, Ul-Haq N, Haq AU (2021) Antibacterial activities of gold nanoparticles synthesized by citrus limonum fruit extract. Pak J Bot 53(6):2305–2310. https:\u002F\u002Fdoi.org\u002F10.30848\u002FPJB2021-6(36\nSathiyaraj S, Suriyakala G, Gandhi AD, Babujanarthanam R, Almaary KS, Chen TW, Kaviyarasu K (2021) Biosynthesis, characterization, and antibacterial activity of gold nanoparticles. J Infect Public Health 14(12):1842–1847. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jiph.2021.10.007\nTao C (2018) Antimicrobial activity and toxicity of gold nanoparticles: research progress, challenges and prospects. Lett Appl Microbiol 67(6):537–543. https:\u002F\u002Fdoi.org\u002F10.1111\u002Flam.13082\nMaccora D, Dini V, Battocchio C, Fratoddi I, Cartoni A, Rotili D, Castagnola M, Faccini R, Bruno I, Scotognella T, Giordano A (2019) Gold nanoparticles and nanorods in nuclear medicine: a mini review. Appl Sci 9(16):3232. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp9163232\nBiresaw SS, Damte SM, Taneja P (2020) Green synthesized silver nanoparticles: a promising anticancer agent. Int J Nanosci 19(04):1950027. https:\u002F\u002Fdoi.org\u002F10.1142\u002FS0219581X19500273\nVijayakumar S (2019) Eco-friendly synthesis of gold nanoparticles using fruit extracts and in vitro anticancer studies. J Saudi Chem Soc 23(6):753–761. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jscs.2018.12.002\nZheng Y, Zhang J, Zhang R, Luo Z, Wang C, Shi S (2019) Gold nano particles synthesized from Magnolia officinalis and anticancer activity in A549 lung cancer cells. Artif Cells Nanomedand Biotechnol 47(1):3101–3109. https:\u002F\u002Fdoi.org\u002F10.1080\u002F21691401.2019.1645152\nCastro-Aceituno V, Abbai R, Moon SS, Ahn S, Mathiyalagan R, Kim YJ, Kim YJ, Yang DC (2017) Pleuropterus multiflorus (Hasuo) mediated straightforward eco-friendly synthesis of silver, gold nanoparticles and evaluation of their anti-cancer activity on A549 lung cancer cell line. Biomed Pharmacother 93:995–1003. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biopha.2017.07.040\nPitchai P, Subramani P, Selvarajan R, Sankar R, Vilwanathan R, Sibanda T (2022) Green synthesis of gold nanoparticles (AuNPs) using Caulerpa racemosa and evaluation of its antibacterial and cytotoxic activity against human lung cancer cell line. Arab J Basic Appl Sci 29(1):351–362. https:\u002F\u002Fdoi.org\u002F10.1080\u002F25765299.2022.2127510\nSypniewski D, Szkaradek N, Loch T, Waszkielewicz AM, Gunia-Krzyżak A, Matczyńska D, Sołtysik D, Marona H, Bednarek I (2018) Contribution of reactive oxygen species to the anticancer activity of aminoalkanol derivatives of xanthone. Invest New Drugs 36(3):355–369. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10637-017-0537-x",{"VOID":2742},"10.1007\u002Fs13399-023-03873-y","2024-06-24T10:50:03.776+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13399-023-03873-y",[2746,2770,2785,2800,2813,2826,2841,2856,2871,2886,2899],{"id":2747,"sortIndex":23,"researcher":22,"roles":2748,"affiliations":2749,"properties":2767,"displayName":2769,"givenName":22,"familyName":22},"d7927f62-f6dd-4b8f-8768-656ab840e824",[118],[2750,2758],{"id":2751,"sortIndex":23,"affiliation":2752,"properties":22},"04f1956f-2379-44c4-a65c-80c47e88ef6d",{"id":2751,"createTime":22,"updateTime":22,"relativeEntities":2753,"slug":22,"properties":2754,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2757,"statistic":22},[],{"title":2755},{"VI":2756},"Department of Biotechnology, Dr.M.G.R Educational and Research Institute, Deemed to Be University, Chennai, India",[],{"id":2759,"sortIndex":85,"affiliation":2760,"properties":2766},"42a3831a-068b-4c79-8067-aa0deac5b768",{"id":2759,"createTime":22,"updateTime":22,"relativeEntities":2761,"slug":22,"properties":2762,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2765,"statistic":22},[],{"title":2763},{"VI":2764},"Department of Anatomy, Biomedical Research Unit and Laboratory Animal Centre, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India",[],{},{"title":2768},{"VI":2769},"Thirunavukkarasu Palaniyandi",{"id":2771,"sortIndex":85,"researcher":22,"roles":2772,"affiliations":2773,"properties":2780,"displayName":2782,"givenName":22,"familyName":22},"a6fc03eb-a7e9-4f1e-8f97-9fabfbbe21bb",[118],[2774],{"id":2751,"sortIndex":23,"affiliation":2775,"properties":22},{"id":2751,"createTime":22,"updateTime":22,"relativeEntities":2776,"slug":22,"properties":2777,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2779,"statistic":22},[],{"title":2778},{"VI":2756},[],{"title":2781,"gsAuthor":2783},{"VI":2782},"Sandhiya Viswanathan",{"VOID":2784},"[\"q2dlMkoAAAAJ\"]",{"id":2786,"sortIndex":155,"researcher":22,"roles":2787,"affiliations":2788,"properties":2795,"displayName":2797,"givenName":22,"familyName":22},"701bf981-97bf-4e36-827e-06893c52dace",[118],[2789],{"id":2751,"sortIndex":23,"affiliation":2790,"properties":22},{"id":2751,"createTime":22,"updateTime":22,"relativeEntities":2791,"slug":22,"properties":2792,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2794,"statistic":22},[],{"title":2793},{"VI":2756},[],{"title":2796,"gsAuthor":2798},{"VI":2797},"Pranav Prabhakaran",{"VOID":2799},"[\"vQQNZXIAAAAJ\"]",{"id":2801,"sortIndex":169,"researcher":22,"roles":2802,"affiliations":2803,"properties":2810,"displayName":2812,"givenName":22,"familyName":22},"443ea2ec-b0a3-42da-8e69-8adb48ae6b5e",[118],[2804],{"id":2751,"sortIndex":23,"affiliation":2805,"properties":22},{"id":2751,"createTime":22,"updateTime":22,"relativeEntities":2806,"slug":22,"properties":2807,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2809,"statistic":22},[],{"title":2808},{"VI":2756},[],{"title":2811},{"VI":2812},"Gomathy Baskar",{"id":2814,"sortIndex":313,"researcher":22,"roles":2815,"affiliations":2816,"properties":2823,"displayName":2825,"givenName":22,"familyName":22},"a017afcc-18f9-43ef-9340-f1ab77191c72",[118],[2817],{"id":2751,"sortIndex":23,"affiliation":2818,"properties":22},{"id":2751,"createTime":22,"updateTime":22,"relativeEntities":2819,"slug":22,"properties":2820,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2822,"statistic":22},[],{"title":2821},{"VI":2756},[],{"title":2824},{"VI":2825},"Mugip Rahaman Abdul Wahab",{"id":2827,"sortIndex":327,"researcher":22,"roles":2828,"affiliations":2829,"properties":2838,"displayName":2840,"givenName":22,"familyName":22},"68edd486-8338-48b0-8822-ce4459326834",[118],[2830],{"id":2831,"sortIndex":23,"affiliation":2832,"properties":22},"0276e70e-239f-4f52-8fa3-ce8e3fdbbebc",{"id":2831,"createTime":22,"updateTime":22,"relativeEntities":2833,"slug":22,"properties":2834,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2837,"statistic":22},[],{"title":2835},{"VI":2836},"Department of Biochemistry, DKM college for women, Vellore, India",[],{"title":2839},{"VI":2840},"Asha Sivaji",{"id":2842,"sortIndex":341,"researcher":22,"roles":2843,"affiliations":2844,"properties":2853,"displayName":2855,"givenName":22,"familyName":22},"a52862a1-ee7b-4474-8de3-d79dc0107c4c",[118],[2845],{"id":2846,"sortIndex":23,"affiliation":2847,"properties":22},"cf05166b-e338-42e0-ac4a-51983cd4d5e7",{"id":2846,"createTime":22,"updateTime":22,"relativeEntities":2848,"slug":22,"properties":2849,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2852,"statistic":22},[],{"title":2850},{"VI":2851},"Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India",[],{"title":2854},{"VI":2855},"Maddaly Ravi",{"id":2857,"sortIndex":2233,"researcher":22,"roles":2858,"affiliations":2859,"properties":2868,"displayName":2870,"givenName":22,"familyName":22},"72df7a1a-a829-4c8b-a7d1-28ca46365e5e",[118],[2860],{"id":2861,"sortIndex":23,"affiliation":2862,"properties":22},"bd866ba4-e732-4efc-a222-dd86b8fc5fdc",{"id":2861,"createTime":22,"updateTime":22,"relativeEntities":2863,"slug":22,"properties":2864,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2867,"statistic":22},[],{"title":2865},{"EN":2866},"Yale School of Medicine, Yale University, New Haven, USA",[],{"title":2869},{"VI":2870},"Barani Kumar Rajendran",{"id":2872,"sortIndex":2249,"researcher":22,"roles":2873,"affiliations":2874,"properties":2883,"displayName":2885,"givenName":22,"familyName":22},"1af11193-9a64-48ed-be06-64965ae7978a",[118],[2875],{"id":2876,"sortIndex":23,"affiliation":2877,"properties":22},"f2ae5771-c050-4b97-a66e-0dfb4e1912ec",{"id":2876,"createTime":22,"updateTime":22,"relativeEntities":2878,"slug":22,"properties":2879,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2882,"statistic":22},[],{"title":2880},{"VI":2881},"Centre for Ocean Research, Dr. Jeppiaar Research Park, Sathyabama Institute of Science and Technology, Chennai, India",[],{"title":2884},{"VI":2885},"Meivelu Moovendhan",{"id":2887,"sortIndex":2265,"researcher":22,"roles":2888,"affiliations":2889,"properties":2896,"displayName":2898,"givenName":22,"familyName":22},"f416f02a-f0d5-484b-bbd0-388bb7318cd3",[118],[2890],{"id":2751,"sortIndex":23,"affiliation":2891,"properties":22},{"id":2751,"createTime":22,"updateTime":22,"relativeEntities":2892,"slug":22,"properties":2893,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2895,"statistic":22},[],{"title":2894},{"VI":2756},[],{"title":2897},{"VI":2898},"Hemapreethi Surendran",{"id":2900,"sortIndex":2281,"researcher":22,"roles":2901,"affiliations":2902,"properties":2911,"displayName":2913,"givenName":22,"familyName":22},"f1b78779-f39c-4419-a742-ba6a2548cb29",[118],[2903],{"id":2904,"sortIndex":23,"affiliation":2905,"properties":22},"fa8666da-4732-49e2-9984-6bcc5dd3c269",{"id":2904,"createTime":22,"updateTime":22,"relativeEntities":2906,"slug":22,"properties":2907,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2910,"statistic":22},[],{"title":2908},{"VI":2909},"Department of Electric and Electronic Engineering, Dr. M.G.R Educational and Research Institute, Deemed to Be University, Chennai, India",[],{"title":2912},{"VI":2913},"Saranavan Kumarasamy",{"url":2744,"publisher":2915,"properties":2957},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":2916,"slug":10,"properties":2917,"entityType":20,"verifyStatus":21,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":23,"subjectFields":2921,"manageAffiliations":2926,"indexDatabases":2937,"url":22,"thumbnailPath":22,"statistic":2952,"gsStatistic":22,"type":89,"analyzePriority":22},[],{"issn":2918,"title":2919,"eissn":2920},{"VOID":15},{"EN":17},{"VOID":13},[2922],{"id":26,"createTime":22,"updateTime":22,"relativeEntities":2923,"label":2924,"description":2925,"parentId":22,"standard":22,"scholarHubFieldId":22},[],{"EN":29},{},[2927,2932],{"id":33,"createTime":22,"updateTime":22,"relativeEntities":2928,"slug":22,"properties":2929,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2931,"statistic":22},[],{"title":2930},{"EN":37},[39],{"id":41,"createTime":22,"updateTime":22,"relativeEntities":2933,"slug":22,"properties":2934,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":2936,"statistic":22},[],{"title":2935},{"EN":45},[39],[2938,2945],{"id":49,"indexDatabase":2939,"url":60,"indexYears":61,"academicFieldIds":2944,"indexDatabaseRanking":64},{"id":51,"createTime":22,"updateTime":22,"relativeEntities":2940,"label":2941,"description":2942,"key":57,"publicationTags":2943,"standard":22},[],{"EN":54,"VI":54},{"EN":54,"VI":56},[59],[63],{"id":66,"indexDatabase":2946,"url":79,"indexYears":22,"academicFieldIds":2951,"indexDatabaseRanking":22},{"id":68,"createTime":22,"updateTime":22,"relativeEntities":2947,"label":2948,"description":2949,"key":75,"publicationTags":2950,"standard":22},[],{"EN":71,"VI":71},{"EN":73,"VI":74},[77,78],[81,82],{"impactFactor":23,"impactFactorByYear":2953,"i10Index":23,"i10IndexLast5Year":23,"totalPublication":85,"totalPublicationByYear":2954,"totalCitation":23,"totalCitationByYear":2955,"totalCitationPerPublication":23,"totalCitationPerPublicationByYear":2956,"hindexLast5Year":23,"hindex":23},{},{"2022":85},{},{},{"pages":2958},{"VOID":2959},"1-12",{"total":23,"publishYear":229,"statisticByYear":2961},{},"2023-02-02",[64,77]]