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The method is based on the measurement of the chemiluminescent (CL) radiation emitted in the reaction of sarafloxacin with Ce (IV) in sulfuric acid medium and in the presence of \n                  \n                    \n                  \n                  $$ \\mathrm{Ru}(\\mathrm{bipy})_3^{2+ } $$\n                 as sensitizer. Since the method allows the recording of the whole CL intensity-versus-time profile, the use of measurement parameters such as the maximum CL emission is possible, which is proportional to the analyte concentration. The optimum chemical and experimental conditions for the CL emission of the reaction were researched. The calibration graph was lineal in the concentration range from 5.0 to 30.0 mg L−1 of sarafloxacin. The limit of detection, according to Clayton et al. (Anal Chem 59:2506–2514, 1987), was 1.17 mg L−1. After analyzing a series of ten solutions of 10.0 mg L−1 of sarafloxacin, the estimated average concentration was 10.30 mg L−1 with a standard deviation of 0.42 mg L−1 (confidence level, 95 %). The effect on the sarafloxacin CL signal of some common excipients (sucrose, lactose, and starch) used widely in pharmaceutical preparations was also tested, as well as that of others fluoroquinolones (namely, enrofloxacin and ciprofloxacin). Finally, the proposed method was applied to the determination of sarafloxacin in different spiked egg samples by using the standard addition methodology, obtaining excellent recoveries in all cases (close to 100 %).",{"EN":148,"VI":149},"Rapid and Simple Determination of Sarafloxacin in Egg by Time-Resolved Chemiluminescence","Xác định nhanh và đơn giản sarafloxacin trong trứng bằng hóa phát quang phân giải thời gian",{"VOID":151},"Aly FA, Al-Tamimi SA, Alwarthan AA (2001) Chemiluminescence determination of some fluoroquinolone derivatives in pharmaceutical formulations and biological fluids using tris(2,2'-bipyridyl)ruthenium(II)-Ce(IV) system. Talanta 53:885\nBarron D, Jimenez-Lozano E, Bailac S, Barbosa J (2002) Determination of difloxacin and sarafloxacin in chicken muscle using solid-phase extraction and capillary electrophoresis. J Chromatogr B Anal Technol Biomed Life Sci 767:313\nBarron D, Barbosa J, Nemutlu E, Hermo MP (2010) Multiresidue determination of quinolones regulated by the European Union in bovine and porcine plasma Application of chromatographic and capillary electrophoretic methodologies. Biomed Chromatogr 25:555\nBauer JF, Howard S, Schmidt A (1990) High-performance liquid-chromatographic determination of several quinolone antibacterials in medicated fish feed. J Chromatogr 514:348\nBenito-Pena E, Martins S, Orellana G, Cruz M-BM (2009) Water-compatible molecularly imprinted polymer for the selective recognition of fluoroquinolone antibiotics in biological samples. Anal Bioanal Chem 393:235\nChansiripornchai N, Sasipreeyajan J (2002) Efficacy of Sarafloxacin in broilers after experimental infection with Escherichia coli. Vet Res Commun 26:255\nChen YH, Zhao FL, Zhang YQ, Liu BS (2009) Determination of sarafloxacin by fluoremetry with terbium-sarafloxacin system. Fenxi Shiyanshi 28:24\nChoi J, Yee AJ, Thompson D, Samoluk J, Mitchell M, Black WD (1999) Determination of fluoroquinolone residues in animal tissues using Escherichia coli as indicator organism. J AOAC Int 82:1407\nClayton CA, Hines JW, Elkins PD (1987) Detection limits with specified assurance probabilities. Anal Chem 59:2506\nCohen E, Maxwell RJ, Donoghue DJ (1999) Automated multi-residue isolation of fluoroquinolone antimicrobials from fortified and incurred chicken liver using online microdialysis and high-performance liquid chromatography with programmable fluorescence detection Journal of Chromatography. B Biomed Appl 724:137\nCommission Regulation (EC) (1999) No 508\u002F1999 of 4 March 1999 amending Annexes I to IV to Council Regulation (EEC) No 2377\u002F90 laying down a Community procedure for the establishment of maximum residue limits of veterinary medicinal products in foodstuffs of animal origin. Off J Eur Communities 42:21\nDelepine B, Hurtaud-Pessel D, Sanders P (1998) Simultaneous determination of six quinolinones in pig muscle by liquid chromatography-atmospheric pressure chemical ionization mass spectrometry. Analyst 123:2743\nDu XY, Peng T, Li JS (2003) Preparation and binding characteristics of molecularly imprinted polymers for sarafloxacin. Fenxi huaxue 31:720\nFábrega A, Sánchez Céspedes J, Soto S, Vila J (2008) Quinolone resistance in the food chain. Int J Antimicrob Agents 31:307\nFu L, Chen JF, Long YQ, Wang XY, Liu BS (2008) Determination of sarafloxacin hydrochloride by spectrophotometry with eosin. Fenxi Shiyanshi 27:95\nGerardi RD, Barnett NW, Jones P (1999) Two chemical approaches for the production of stable solutions of tris(2,2'-bipyridyl)ruthenium(III) for analytical chemiluminescence. Anal Chim Acta 388:1\nHormazabal V, Rogstad A, Steffenak I, Yndestad M (1991) Rapid assay for monitoring residues of enrofloxacin and sarafloxacin in fish tissues by high-performance liquid chromatography. J Liq Chromatogr Relat Technol 14:1605\nHuet A-C, Charlier C, Tittlemier SA, Singh G, Benrejeb S, Delahaut P (2006) Simultaneous determination of (fluoro)quinolone antibiotics in kidney, marine products, eggs, and muscle by enzyme-linked immunosorbent assay (ELISA). J Agric Food Chem 54:2822\nHuet A-C, Charlier C, Singh G, Godefroy SB, Leivo J, Vehniainen M, Nielen MWF, Weigel S, Delahaut P (2008) Development of an optical surface plasmon resonance biosensor assay for (fluoro)quinolones in egg, fish, and poultry meat. Anal Chim Acta 623:195\nIdowu OR, Peggins JO (2004) Simple, rapid determination of enrofloxacin and ciprofloxacin in bovine milk and plasma by high-performance liquid chromatography with fluorescence detection. J Pharm Biomed Anal 35:143\nIUPAC (1978) Nomenclature, symbols, units and their usage in spectrochemical analysis II. Spectrochim Acta 33:242\nJackson LC, Machado LA, Hamilton ML (1998) Principios generales de la terapéutica antimicrobiana. Acta Med 8:13\nKnight AW, Greenway GM, Chesmore ED (1995) Development of a silicon photodiode, electrogenerated chemiluminescence, flow-through detector. Anal Proc Incl Anal Commun 32:125\nLara FJ, Garcia-Campana AM, Ales-Barrero F, Bosque-Sendra JM (2008) In-line solidphase extraction preconcentration in capillary electrophoresis-tandem mass spectrometry for the multiresidue detection of quinolones in meat by pressurized liquid extraction. Electrophoresis 29:2117\nLeivo J, Chappuis C, Lamminmaki U, Lovgren T, Vehniainen M (2011) Engineering of a broad-specificity antibody: detection of eight fluoroquinolone antibiotics simultaneously. Anal Biochem 409:14\nLesher GY, Froelich EJ, Gruett MD, Bailey JH, Brundage RP (1962) 1,8-naphthyridine derivatives A new class of chemotherapeutic agents. J Med Pharm Chem 91:1063\nLian N, Sun CY, Zhao HC (2002) A study on terbium sensitized chemiluminescence of norfloxacin and its applications. Fenxi Kexue Xuebao 18:111\nLian N, Zhao HC, Sun CY, Chen SL, Lu Y, Jin LP (2003) A study on terbium sensitized chemiluminescence of ciprofloxacin and its application. Microchem J 74:223\nLiang YD, Li JZ, Zhang ZJ (1997) Flow-injection chemiluminescence determination of ciprofloxacin hydrochloride. Fenxi huaxue 25:1307\nLombardo-Agui M, Gamiz-Gracia L, Garcia-Campana AM, Cruces-Blanco C (2010) Sensitive determination of fluoroquinolone residues in waters by capillary electrophoresis with laser-induced fluorescence detection. Anal Bioanal Chem 396:1551\nLombardo-Agui M, Garcia-Campana AM, Gamiz-Gracia L, Cruces-Blanco C (2012) Determination of quinolones of veterinary use in bee products by ultra-high performance liquid chromatography-tandem mass spectrometry using a QuEChERS extraction procedure. Talanta 93:193\nLong GL, Winefordner JD (1983) Limit of detection A closer look at the IUPAC definition. Anal Chem 55:712A\nMalik YS, Chander Y, Gupta SC, Goyal SM (2005) A retrospective study on antimicrobial resistance in Mannheimia (Pasteurella) haemolytica, Escherichia coli, Salmonella species, and Bordetella avium from chickens in Minnesota. J Appl Poult Res 14:506\nMandell LA, Peterson LR, Wise R, Hooper D, Low DE, Schaad UB, Klugman KP, Courvalin P (2002) The battle against emerging antibiotic resistance: should fluoroquinolones be used to treat children? Clin Infect Dis 35:721\nMaxwell RJ, Cohen E, Donoghue DJ (1999) Determination of sarafloxacin residues in fortified and incurred eggs using online microdialysis and HPLC\u002Fprogrammable fluorescence detection. J Agric Food Chem 47:1563\nMurillo Pulgarín JA, Alañón Molina A, Muñoz De La Peña A, Durán Merás I, Jiménez Girón A (2007) Resolution of ofloxacin-ciprofloxacin and ofloxacin-norfloxacin binary mixtures by flow-injection chemiluminescence in combination with partial least squares multivariate calibration. J Fluoresc 17:481\nMurillo Pulgarín JA, Alañón Molina A, Rodríguez Muñoz S (2011) Rapid chemiluminescent determination of enrofloxacin in eggs and veterinary drugs. Anal Lett 44:2194\nOcaña JA, Barragán FJ, Callejón M, de la Rosa F (2004) Application of lanthanidesensitised chemiluminescence to the determination of levofloxacin, moxifloxacin and trovafloxacin in tablets. Mikrochim Acta 144:207\nRao Y, Tong Y, Zhang XR, Luo GA, Baeyens WRG (2000) Flow-injection chemiluminescence determination of fluoroquinolones. Anal Lett 33:1117\nRoybal JE, Pfenning AP, Turnipseed SB, Walker CC, Hurlbut JA (1997) Determination of four fluoroquinolones in milk by liquid chromatography. J AOAC Int 80:982\nSamanidou VF, Christodoulou EA, Papadoyannis IN (2005) Validation of a novel HPLC sorbent material for the determination of ten quinolones in human and veterinary pharmaceutical formulations. J Sep Sci 28:2444\nSun HW, Li LQ, Chen XY (2006) Flow-injection enhanced chemiluminescence method for determination of ciprofloxacin in pharmaceutical preparations and biological fluids. Anal Bioanal Chem 384:1314\nSun HW, Zhao W, He P (2008) Effective separation and simultaneous determination of four fluoroquinolones in milk by CE with SPE. Chromatographia 68:425\nTamtam F, Mercier F, Eurin J, Chevreuil M, Le BB (2009) Ultra performance liquid chromatography tandem mass spectrometry performance evaluation for analysis of antibiotics in natural waters. Anal Bioanal Chem 393:1709\nvon Rosenstiel N, Adam D (1994) Quinolone antibacterials: an update of their pharmacology and therapeutic use. Drugs 47:872\nWang L, Yang P, Li Y-X, Chen H-Q, Li M-G, Luo F-B (2007) A flow injection chemiluminescence method for the determination of fluoroquinolone derivative using the reaction of luminol and hydrogen peroxide catalyzed by gold nanoparticles. Talanta 72:1066\nYang ZJ, Wang XL, Qin WD, Zhao HC (2008) Capillary electrophoresischemiluminescence determination of norfloxacin and prulifloxacin. Anal Chim Acta 623:231\nZhang ZD, Baeyens WRG, Zhang XR, Van DWG (1996) Chemiluminescence flowinjection analysis of captopril applying a sensitized rhodamine 6G method. J Pharm Biomed Anal 14:939",{"VOID":153},"10.1007\u002Fs12161-012-9522-3","PUBLICATION",[156],"VI","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12161-012-9522-3",[159,175,189,203],{"id":160,"sortIndex":23,"researcher":22,"roles":161,"affiliations":163,"properties":172,"displayName":174,"givenName":22,"familyName":22},"71d9e3e2-52c4-4f59-b910-7e0d162a6bd1",[162],"AUTHOR",[164],{"id":165,"sortIndex":23,"affiliation":166,"properties":22},"0a9284a0-6f97-435b-9f1f-b6832ee4f253",{"id":165,"createTime":22,"updateTime":22,"relativeEntities":167,"slug":22,"properties":168,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":171,"statistic":22},[],{"title":169},{"VI":170},"Department of Analytical Chemistry and Foods Technology, University of Castilla-La Mancha, Ciudad Real, Spain",[],{"title":173},{"VI":174},"José Antonio Murillo 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rapid method for detection of flumequine (FQ) and oxolinic acid (OA) residues from fish tissues was established using pressurized capillary electrochromatography (pCEC). Residual FQ and OA were extracted from fish tissue samples with acidified acetonitrile and purified on an Oasis HLB C18 solid-phase extraction column. The extract was then analyzed by pCEC with the mobile phase (pH = 3) consisting of acetonitrile and 15 mM ammonium acetate (45: 55, v\u002Fv, respectively) at the flow rate of 0.07 mL\u002Fmin, detection wavelength of 324 nm, and applied voltage of −10 kV. Baseline separation of FQ and OA was achieved in 10 min; both drugs showed good linearity in the range of 0.2–5 μg\u002FmL. The recoveries of FQ and OA were between 82 and 92 % (relative standard deviation = 3.63–5.96). The limits of detection for FQ and OA were 0.1 and 0.08 mg\u002Fkg, respectively.",{"EN":295,"VI":296},"Simultaneous Determination of Flumequine and Oxolinic Acid Residues in Aquatic Products Using Pressurized Capillary Electrochromatography","Xác định đồng thời dư lượng flumequin và acid oxolinic trong thủy sản bằng phương pháp sắc ký điện mao quản điều áp",{"VOID":298},"Anadon A, Martinez MA, Martinez M, De La Cruz C, Diaz MJ, Martinez-Larranaga MR (2008) Food Chem Toxicol 46:662\nAnonymous (2010) Commission Regulation (EU) No 37\u002F2010 of 22 December 2009 on pharmacologically active substances and their classification regarding maximum residue limits in foodstuffs of animal origin. Official Journal of the European Communities L15(20 January 2010):1-76\nChen DX, Wang JJ, Jiang YY, Zhou TT, Fan GR, Wu YT (2009) J Pharm Biomed Anal 50:695\nDelépée R, Hervé P (2002) J Chromatogr B 775:89\nEvaggelopoulou EN, Samanidou VF (2013) Food Chem 136:479\nGajda A, Posyniak A, Zmudzki J, Gbylik M, Bladek T (2012) Food Chem 135:430\nHektoen H, Berge JA, Hormazabal V, Yndestad M (1995) Aquaculture 133:175\nHuet AC, Charlier C, Tittlemier SA, Singh G, Benrejeb S, Delahaut P (2006) J Agric Food Chem 54:2822\nJimenez-Diaz I, Hermo MP, Ballesteros O, Zafra-Gomez A, Barron D, Barbosa J, Navalon A (2013) Chromatographia 76:707\nLai HT, Lin JJ (2009) Chemosphere 75:462\nLi P, Li SP, Yang FQ, Wang YT (2007) J Sep Sci 30:900\nLi M, Lin XC, Xie ZH (2009) J Chromatogr A 1216:5320\nNaviner M, Giraud E, Thorin C, Le Bris H, Pouliquen H, Ganiere J-P (2007) Aquaculture 269:31\nNaviner M, Gordon L, Giraud E, Denis M, Mangion C, Le Bris H, Ganiere JP (2011) Aquaculture 315:236\nOkerman L, Noppe H, Cornet V, De Zutter L (2007) Food Addit Contam 24:252\nPosyniak A (2000) Med Weter 56:296\nRoudaut B, Yorke JC (2002) J Chromatogr B 780:481\nSamuelsen OB (2006) Aquaculture 255:55\nStoilova N, Surleva A, Stoev G (2013) Food Anal Methods 6:803\nTang HP, Ho C, Lai SS (2006) Rapid Commun Mass Spectrom 20:2565\nTao X, Chen M, Jiang H, Shen J, Wang Z, Wang X, Wu X, Wen K (2013) Anal Bioanal Chem 405:7477\nTouraki M, Ladoukakis M, Prokopiou C (2001) J Chromatogr B 751:247\nTouraki M, Niopas I, Karagiannis V (2012) J Fish Dis 35:513",{"VOID":300},"10.1007\u002Fs12161-014-9818-6","VERIFIED","2025-01-15T13:31:12.909+00:00","Auto 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adverse effects of acrylamide (AA) on humans are becoming clear, especially after a series of related investigations reported the dependence on consuming foods prepared by exposure to high temperatures for a long-time and cancer risk. Accurate determination of AA in food samples at trace amount is considered the first step to overcome this significant problem. The determination of AA using coal tar pitch modified pencil graphite (PGE\u002FCTP) electrode was reported. The bare PGE and PGE\u002FCTP electrodes were characterized using microscopic imaging technique scanning electron microscopy (SEM). The electrochemical behavior of AA was studied on PGE\u002FCTP electrode in different medium acidities (pH) of phosphate and Briton-Robinson (BR) buffer solutions by employing square wave voltammetry (SWV). Linear sweep voltammetry (LSV) technique was applied to determine the mass transfer mode of AA from bulk solution to the PGE\u002FCTP electrode surface. The optimum conditions were using phosphate buffer solution (PBS) at pH 7.0. The detectability of AA on the surfaces of bare PGE and PGE\u002FCTP electrodes was compared, and the suitability of PGE\u002FCTP electrode usage was determined. The linear relationship between peak current and AA concentration was in the range of 1000.0 to 0.5 nM. The limit of detection of AA was 0.2094 nM, and the limit of quantitation was 0.6912 nM. In addition, the PGE\u002FCTP electrode as a sensor was successfully used for the determination of AA in the instant coffee sample.",{"EN":510},"Voltammetric Determination of Acrylamide Using Coal Tar Pitch Modified Pencil Graphite Electrode by SWV",{"VOID":512},"[\"3066936572419989618\"]",{"VOID":514},"Alpözen E, Güven G, Üren A (2013) Determination of acrylamide levels of light biscuit by LC-MS\u002FMS. Acad Food J 11:23–26\nAlyousef HA, Wang H, Al-Hajj NQM, Koko MYF (2016) Determination of acrylamide levels in selected commercial and traditional foods in Syria. Trop J Pharm Res 15:1275–1281. https:\u002F\u002Fdoi.org\u002F10.4314\u002Ftjpr.v15i6.21\nAsnaashari M, Kenari RE, Farahmandfar R, Abnous K, Taghdisi SM (2019) An electrochemical biosensor based on hemoglobin-oligonucleotides-modified electrode for detection of acrylamide in potato fries. Food Chem 271:54–61. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2018.07.150\nBatra B, Lata S, Sharma M, Pundir CS (2013) An acrylamide biosensor based on immobilization of hemoglobin onto multiwalled carbon nanotube\u002Fcopper nanoparticles\u002Fpolyaniline hybrid film. Anal Biochem 433(2):210–217. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ab.2012.10.026\nBranco ECK (2023) A systematic literature review of acrylamide levels, adverse health effects, and reduction of formation in fried and baked potato products. University of Minnesota, Master of Science\nCalam TT (2021) Selective and sensitive determination of paracetamol and levodopa with using electropolymerized 3,5-diamino-1,2,4-triazole film on glassy carbon electrode. Electroanalysis 33:1049–1062. https:\u002F\u002Fdoi.org\u002F10.1002\u002Felan.202060477\nCrawford LM, Wang SC (2019) Comparative study of four analytical methods for the routine determination of acrylamide in black ripe olives. J Agric Food Chem 67:12633–12641. https:\u002F\u002Fdoi.org\u002F10.1021\u002Facs.jafc.9b00363\nEsokkiya A, Sudalaimani S, Sanjeev Kumar K, Sampathkumar P, Suresh C, Giribabu K (2021) Poly(methylene blue)-based electrochemical platform for label-free sensing of acrylamide. ACS Omega 6:9528–9536. https:\u002F\u002Fdoi.org\u002F10.1021\u002Facsomega.0c06315\nİncebay H (2018) A sensitive quantification of agmatine using a hybrid electrode based on zinc oxide nanoparticles. J Turk Chem Soc Sect A Chem 5:1205–1214. https:\u002F\u002Fdoi.org\u002F10.18596\u002Fjotcsa.401450\nKang C, Ma H, Li Y, Zhang C, Hong Y, Shao M (2021) Determination of acrylamide in foods by automatic accelerated solvent extraction and gas chromatography-mass spectrometry. Acta Chromatogr 33:64–72. https:\u002F\u002Fdoi.org\u002F10.1556\u002F1326.2020.00755\nKılıç N, Liman BC (2022) Determination of acrylamide using the immuno-enzymatic method in commercial dog and cat foods. Turk J Vet Anim Sci 46:748–754. https:\u002F\u002Fdoi.org\u002F10.55730\u002F1300-0128.4249\nLi K, Li Y, Wang L, Yang L, Ye B (2019) Study the voltammetric behavior of 10-hydroxycamptothecin and its sensitive determination at electrochemically reduced graphene oxide modified glassy carbon electrode. Arab J Chem 12:2732–2739. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.arabjc.2015.05.014\nLutzow M (2002) Acrylamide in food. A publication of the FAO food and nutrition division, In Food, Nutrition and Agriculture\nMersal GAM, Hessien MM, Al Jouaid R, El-Hendawy MM, Alminderej FM, Ibrahim MM (2021) A molecular biomimetic sensor of tris(2-benzimidazolylmethyl)amine-based iron(III) complex for acrylamide detection: electrochemical study and DFT calculations. J Chin Chem Soc 68:2303–2311. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjccs.202100340\nMesias M, Delgado-Andrade C, Morales FJ (2022) An updated view of acrylamide in cereal products. Curr Opin Food Sci 46:100847. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cofs.2022.100847\nNavarro KM, Silva JC, Ossick MV, Nogueira AB, Etchegaray A, Mendes RK (2020) Low-cost electrochemical determination of acrylamide in processed food using a hemoglobin–iron magnetic nanoparticle–chitosan modified carbon paste electrode. Anal Lett 1-13. https:\u002F\u002Fdoi.org\u002F10.1080\u002F00032719.2020.1795668\nNorouzi P, Larijani B, Bidhendi ME, Eshraghi M, Ebrahimi M (2018) A sensitive biosensor for acrylamide detection based on polyaniline and Au nanoparticles using FFT admittance voltammetry. Anal Bioanal Electrochem 10:18–32\nPourmand E, Ghaemi E, Alizadeh N (2017) Determination of acrylamide in potato-based foods using headspace solid-phase microextraction based on nanostructured polypyrrole fiber coupled with ion mobility spectrometry: a heat treatment study. Anal Methods 9:5127–5134. https:\u002F\u002Fdoi.org\u002F10.1039\u002Fc7ay01506b\nRaffan S, Halford NG (2019) Acrylamide in food: progress in and prospects for genetic and agronomic solutions. Ann Appl Biol 175:259–281. https:\u002F\u002Fdoi.org\u002F10.1111\u002Faab.12536\nSáez-Hernández R, Ruiz P, Mauri-Aucejo AR, Yusa V, Cervera ML (2022) Determination of acrylamide in toasts using digital image colorimetry by smartphone. Food Control 141:109163. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodcont.2022.109163\nSirajuddin TZA, Haq MAU, Shah MR, Mujeeb-ur-rehman SSTH, Barek J, Kalhoro MS (2021) Highly sensitive voltammetric determination of acrylamide based on ibuprofen capped mercury nanoparticles. Sensors 21:7302. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fs21217302\nStobiecka A, Radecka H, Radecki J (2007) Novel voltammetric biosensor for determining acrylamide in food samples. Biosens 22:2165–2170. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.bios.2006.10.008\nTepe Y, Çebi A (2019) Acrylamide in environmental water: a review on sources, exposure, and public health risks. In Expos Health 11:3–12. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12403-017-0261-y\nÜstündağ İ, Erkal A (2017) Determination of dopamine in the presence of ascorbic acid on digitonin-doped coal tar pitch carbonaceous electrode. Sens Mater 29:85–94. https:\u002F\u002Fdoi.org\u002F10.18494\u002FSAM.2017.1416\nVeselá H, Šucman E (2013) Determination of acrylamide in food using adsorption stripping voltammetry. Czech J Food Sci 31:401–406. https:\u002F\u002Fdoi.org\u002F10.17221\u002F256\u002F2012-cjfs\nZargar B, Sahraie NR, Khoshnam F (2009) Catalytic square-wave voltammetric determination of acrylamide in potato chips. Anal Lett 42:1407–1410. https:\u002F\u002Fdoi.org\u002F10.1080\u002F00032710902954441",{"VOID":516},"10.1007\u002Fs12161-023-02540-2","2024-06-24T02:28:56.894+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12161-023-02540-2",[520,535,550,567],{"id":521,"sortIndex":23,"researcher":22,"roles":522,"affiliations":523,"properties":532,"displayName":534,"givenName":22,"familyName":22},"ce8a7c22-fc8f-4110-bff4-d87d2dadba5d",[162],[524],{"id":525,"sortIndex":23,"affiliation":526,"properties":22},"d0d026eb-17b6-4bbc-8bc4-23ce22fc7e9a",{"id":525,"createTime":22,"updateTime":22,"relativeEntities":527,"slug":22,"properties":528,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":531,"statistic":22},[],{"title":529},{"VI":530},"Chemistry Department, Institute of Science, Necmettin Erbakan University, Konya, Turkey",[],{"title":533},{"VI":534},"Şeyma 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feasibility of a highly sensitive “turn-off” fluorescent probe of double quantum dots (QDs) combined with chemometrics was investigated for untargeted screening of extraneous adulterants in pure orange juice (OJ), including sucrose syrup and artificial fruit powder. Pure and adulterated OJ samples were characterized by their different quenching patterns of the two separate and strong fluorescent peaks generated by the double QDs followed by chemometrics analysis. Class models of pure OJ samples (n = 117) obtained from pressing newly harvested oranges were developed using one-class partial least squares (OCPLS) based on different signal preprocessing methods, including smoothing, taking second-order derivatives (D2) and standard normal variate (SNV) transformation. As a result, D2-OCPLS model could detect at 5.0% (w\u002Fw) of sucrose syrup and 2.0% (w\u002Fw) of artificial fruit powder in pure OJ with a sensitivity (the rate of true positives) of 97.8% and specificity (rate of true negatives) of 77.0%. In conclusion, the proposed fluorescence probe with double QDs has been demonstrated to have potential for applications in rapid and sensitive screening of adulterants in OJ, which also implies promising applications to untargeted analysis of other water-soluble food samples. \n                \n                  \n                    \n                  \n                  \n                    \n                  \n                \n              ",{"EN":660},"Non-targeted Detection of Multiple Frauds in Orange Juice Using Double Water-Soluble Fluorescence Quantum Dots and Chemometrics",{"VOID":662},"[]",{"VOID":664},"Abad-García B, Garmón-Lobato S, Sánchez-Ilárduya M, Berrueta L, Gallo B, Vicente F, Alonso-Salces R (2014) Polyphenolic contents in citrus fruit juices: authenticity assessment. Eur Food Res Technol 238:803–818\nAmmari F, Redjdal L, Rutledge DN (2015) Detection of orange juice frauds using front-face fluorescence spectroscopy and independent components analysis. Food Chem 168:211–217\nAngel Pardo M (2015) Evaluation of a dual-probe real time PCR system for detection of mandarin in commercial orange juice. Food Chem 172:377–384\nAraújo A, Marinho W, Gomes ADA (2018) A fast and inexpensive chemometric-assisted method to identify adulteration in acai (euterpe oleracea) using digital images. Food Anal Methods 11:1920–1926\nBarnes RJ, Dhanoa MS, Lister SJ (1989) Standard normal variate transformation and detrending of near infrared diffuse reflectance spectra. Appl Spectrosc 43:772–777\nBonilla JC, Bozkurt F, Ansari S, Sozer N, Kokini JL (2016) Applications of quantum dots in food science and biology. Trends Food Sci Technol 53:75–89\nBontempo L, Caruso R, Fiorillo M, Gambino GL, Perini M, Simoni M, Traulo P, Wehrens R, Gagliano G, Camin F (2014) Stable isotope ratios of H, C, N and O in Italian citrus juices. J Mass Spectrom 49:785–791\nCuny M, Vigneau E, Gall GL, Colquhoun I, Lees M, Rutledge DN (2008) Fruit juice authentication by 1H NMR spectroscopy in combination with different chemometrics tools. Anal Bioanal Chem 390:419–427\nDağdeviren S, Altunay N, Sayman Y, Gürkan R (2018) A new method of UA_CPE coupled with spectrophotometry for the faster and cost-effective detection of proline in fruit juice, honey, and wine. Food Chem 255:31–40\nDaszykowski M, Serneels S, Kaczmarek K, Van Espen P, Croux C, Walczak B (2007) TOMCAT: A MATLAB toolbox for multivariate calibration techniques. Chemom Intell Lab Syst 85:269–277\nDufour E, Riaublanc A (1997) Potentiality of spectroscopic methods for the characterisation of dairy products.I. Front-face fluorescence study of raw, heated and homogenised milks. Lait 77:657–670\nFaria MA, Magalhães A, Nunes ME, Oliveira MBPP (2013) High resolution melting of trnL amplicons in fruit juices authentication. Food Control 33:136–141\nFidelis M, Santos JS, Kincheski Coelho AL, Rodionova OY, Pomerantsev A, Granato D (2017) Authentication of juices from antioxidant and chemical perspectives: a feasibility quality control study using chemometrics. Food Control 73:796–805\nFörstel H (2007) The natural fingerprint of stable isotopes—use of irms to test food authenticity. Anal Bioanal Chem 388:541–544\nGarcia-Wass F, Hammond D, Mottram DS, Gutteridge CS (2000) Detection of fruit juice authenticity using pyrolysis mass spectroscopy. Food Chem 69:215–220\nGómez-Ariza JL, Villegas-Portero MJ, Bernal-Daza V (2005) Characterization and analysis of amino acids in orange juice by HPLC–MS\u002FMS for authenticity assessment. Anal Chim Acta 540:221–230\nGupta VK, Das A, Dey A (1991) Universal optimality of block designs with unequal block sizes. Statist Probab Lett 11:177–180\nHansen L, Ferrão MF (2018) Identification of possible milk adulteration using physicochemical data and multivariate analysis. Food Anal Methods 11:1994–2003\nHerbert S, Riaublanc A, Bouchet B, Gallant DJ, Dufour E (1999) Fluorescence spectroscopy investigations of acid or rennet-induced milk coagulation of milk. J Dairy Sci 82:2056–2062\nHu O, Xu L, Fu H, Yang T, Fan Y, Lan W, Tang H, Wu Y, Ma L, Wu D, Wang Y, Xiao Z, She Y (2018) “Turn-off” fluorescent sensor based on double quantum dots coupled with chemometrics for highly sensitive and specific recognition of 53 famous green teas. Anal Chim Acta 1008:103–110\nHubert M, Rousseeuw PJ, Verboven S (2002) A Fast method for robust principal components with applications to chemometrics. Chemom Intell Lab Syst 60:101–111\nJandrić Z, Cannavan A (2017) An investigative study on differentiation of citrus fruit\u002Ffruit juices by UPLC-QTOF-MS and chemometrics. Food Control 72:173–180\nJandrić Z, Roberts D, Rathor MN, Abrahim A, Islam M, Cannavan A (2014) Assessment of fruit juice authenticity using UPLC-QTOF-MS: a metabolomics approach. Food Chem 148:7–17\nJandrić Z, Islam M, Singh DK, Cannavan A (2017) Authentication of Indian citrus fruit\u002Ffruit juices by untargeted and targeted metabolomics. Food Control 72:181–188\nKamiloglu S (2018) Authenticity and traceability in beverages. Food Chem 227:12–24\nKaroui R, Blecker C (2011) Fluorescence spectroscopy measurement for quality assessment of food systems. A review. Food Bioproc Technol 4:364–386\nKaroui R, Mazerolles G, Dufou É (2003) Spectroscopic techniques coupled with chemometric tools for structure and texture determinations in dairy products: a review. Int Dairy J 13:607–620\nLerma-García MJ, D’Amato A, Simó-Alfonso EF, Righetti PG, Fasoli E (2016) Orange proteomic fingerprinting: from fruit to commercial juices. Food Chem 196:739–749\nLin H, Ying Y (2009) Theory and application of near infrared rpectroscopy in assessment of fruit quality: a review. Sens & Instrumen Food Qual 3:130–141\nMajcher MA, Kaczmarek A, Klensporf-Pawlik D, Pikul J, Jeleń HH (2015) SPME-MS-Based electronic nose as a tool for determination of authenticity of pdo cheese, oscypek. Food Anal Methods 8:2211–2217\nMbogning Feudjio W, Ghalila H, Nsangou M, Majdi Y, Kongbonga YM, Jaïdane N (2017) Fluorescence spectroscopy combined with chemometrics for the investigation of the adulteration of essential oils. Food Anal Methods 10:2539–2548\nMeléndez-Martínez AJ, Vicario IM, Heredia FJ (2005) Correlation between visual and instrumental colour measurements of orange juice dilutions: effect of the background. Food Qual Prefer 16:471–478\nMoore JC, Spink J, Lipp M (2012) Development and application of a database of food ingredient fraud and economically motivated adulteration from 1980 to 2010. J Food Sci 77:118–126\nNikolaou C, Karabagias IK, Gatzias I, Kontakos S, Badeka A, Kontominas MG (2017) Differentiation of fresh Greek orange juice of the merlin cultivar according to geographical origin based on the combination of organic acid and sugar content as well as physicochemical parameters using chemometrics. Food Anal Methods 10:2217–2228\nOgrinc N, Kosir IJ, Spangenberg JE, Kidrič J (2003) The application of NMR and MS methods for detection of adulteration of wine, fruit juices, and olive oil. A review. Anal Bioanal Chem 376:424–430\nO’Kell AL, Garrett TJ, Wasserfall C, Atkinson MA (2017) Untargeted metabolomic analysis in naturally occurring canine diabetes mellitus identifies similarities to human Type 1 Diabetes. Sci Rep 7: 9467.\nPoulli KI, Mousdis GA, Georgiou CA (2005) Classification of edible and lampante virgin olive oil based on synchronous fluorescence and total luminescence spectroscopy. Anal Chim Acta 542:151–156\nRobards K, Antolovich M (1995) Methods for assessing the authenticity of orange juice. A review. Analyst 120:1–28\nSavitzky A, Golay MJE (1964) Smoothing and differentiation of data by simplified least squares procedures. Anal Chem 36:1627–1639\nShi X, Wei W, Fu Z, Gao W, Zhang C, Zhao Q, Deng Q, Lu F, Lu X (2019) Review on carbon dots in food safety applications. Talanta 194:809–821\nSikorska E, Górecki T, Khmelinskii IV, Sikorski M, Kozioł J (2005) Classification of edible oils using synchronous scanning fluorescence spectroscopy. Food Chem 89:217–225\nSnee RD (1977) Validation of regression models: methods and examples. Technometrics 19:415–428\nSnyder AB, Sweeney CF, Rodriguez-Saona LE, Giusti MM (2014) Rapid authentication of concord juice concentration in a grape juice blend using Fourier-Transform infrared spectroscopy and chemometric analysis. Food Chem 147:295–301\nSørensen M, Raaschou-Nielsen O, Brasch-Andersen C, Tjønneland A, Overvad K, Autrup H (2007) Interactions between GSTM1, GSTT1 and GSTP1 polymorphisms and smoking and intake of fruit and vegetables in relation to lung cancer. Lung Cancer 55:137–144\nSpinelli FR, Dutra SV, Carnieli G, Leonardelli S, Drehmer AP, Vanderlinde R (2016) Detection of addition of apple juice in purple grape juice. Food Control 69:1–4\nStrasburg GM, Ludescher RD (1995) Theory and applications of fluorescence spectroscopy in food research. Trends Food Sci Technol 6:69–75\nSzymczycha-Madeja A, Welna M, Jedryczko D, Pohl P (2014) Developments and strategies in the spectrochemical elemental analysis of fruit juices. Trends Anal Chem 55:68–80\nTezcan F, Uzaşçı S, Uyar G, Öztekin N, Erim FB (2013) Determination of amino acids in pomegranate juices and fingerprint for adulteration with apple juices. 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of meat is a global concern owing to meat adulteration with pork; however, no study, to date, has established a method to identify species-specific peptide markers for ascertaining adulterated meat. The present study aimed to describe chemometrics-assisted shotgun proteomics, which has recently been reported to establish potential peptide markers for non-Halal pork among Halal beef and chicken meat. To identify the potential peptide markers through peptide mass fingerprinting (PMF) analysis, chemometric analysis comprised principal component analysis and orthogonal partial least square-discriminant analysis, both of which proved statistically useful. Subsequently, through targeted tandem liquid chromatography-mass spectrometry (LC-MS) analysis, the primary structure of the identified peptide markers was revealed using the de novo identification approach. A decoy, randomised and concatenated database search program comprising MS-Fit and MS-Tag was used for PMF and targeted tandem LC-MS analysis, respectively. Results obtained using both PMF and targeted tandem LC-MS analysis complemented one another, indicating that these methods can yield consistent results to identify peptide markers together with chemometric analysis.",{"EN":835},"Chemometrics-Assisted Shotgun Proteomics for Establishment of Potential Peptide Markers of Non-Halal Pork (Sus scrofa) among Halal Beef and Chicken",{"VOID":662},{"VOID":838},"Aerni H-R, Cornett DS, Caprioli RM (2006) Automated acoustic matrix deposition for MALDI sample preparation. Anal Chem 78(3):827–834. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fac051534r\nAli ME, Razzak MA, Hamid SBA (2014) Multiplex PCR in species authentication: probability and prospects—a review. Food Anal Methods 7(10):1933–1949. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12161-014-9844-4\nBäckryd E, Ghafouri B, Carlsson AK, Olausson P, Gerdle B (2015) Multivariate proteomic analysis of the cerebrospinal fluid of patients with peripheral neuropathic pain and healthy controls—a hypothesis-generating pilot study. J Pain Res 8(8):321–333. https:\u002F\u002Fdoi.org\u002F10.2147\u002FJPR.S82970\nCarrasco-Castilla J, Hernández-Álvarez AJ, Jiménez-Martínez C, Gutiérrez-López GF, Dávila-Ortiz G (2012) Use of proteomics and peptidomics methods in food bioactive peptide science and engineering. Food Eng Rev 4(4):224–243. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12393-012-9058-8\nChikuni K, Tanabe R, Muroya S, Nakajima I (2001) Differences in molecular structure among the porcine myosin heavy chain-2a, -2x, and -2b isoforms. Meat Sci 57(3):311–317. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0309-1740(00)00107-8\nClaydon AJ, Grundy HH, Charlton AJ, Romero MR (2015) Identification of novel peptides for horse meat speciation in highly processed foodstuffs. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 32(10):1718–1729. https:\u002F\u002Fdoi.org\u002F10.1080\u002F19440049.2015.1075256\nCottrell JS (2011) Protein identification using MS\u002FMS data. J Proteome 74(10):1842–1851. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jprot.2011.05.014\nFarouk MM, Al-Mazeedi HM, Sabow AB, Bekhit AED, Adeyemi KD, Sazili AQ, Ghani A (2014) Halal and kosher slaughter methods and meat quality: a review. Meat Sci 98(3):505–519. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.meatsci.2014.05.021\nGolnaz R, Zainulabidin M, Mad Nasir S, Eddie Chiew FC (2010) Non-Muslim awareness of halal principle and related food products in Malaysia. Int Food Res J 17:667–674\nHuff-Lonergan E (2010) Chemistry and biochemistry of meat. In: Toldrá F (ed) Handbook of meat processing, 1st edn. Wiley-Blackwell, Oxford, pp 5–24. https:\u002F\u002Fdoi.org\u002F10.1002\u002F9780813820897\nJiménez CR, Huang L, Qiu Y, Burlingame AL (1998a) Searching sequence databases over the internet: protein identification using MS-fit. In: Current protocols in protein science. Wiley, Hoboken, pp 16.5.1–16.5.6 Retrieved from http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F18429133\nJiménez CR, Huang L, Qiu Y, Burlingame AL (1998b) Searching sequence databases over the internet: protein identification using MS-tag. In: Current protocols in protein science. Wiley, Hoboken, pp 16.6.1–16.6.7. https:\u002F\u002Fdoi.org\u002F10.1002\u002F0471140864.ps1606s14\nKrishnan S, Che Omar CM, Zahran I, Syazwan N, Alyaa S (2017) The awareness of gen z’s toward halal food industry. Management 7(1):44–47. https:\u002F\u002Fdoi.org\u002F10.5923\u002Fj.mm.20170701.06\nLevitsky LI, Ivanov MV, Lobas AA, Gorshkov MV (2017) Unbiased false discovery rate estimation for shotgun proteomics based on the target-decoy approach. J Proteome Res 16(2):393–397. https:\u002F\u002Fdoi.org\u002F10.1021\u002Facs.jproteome.6b00144\nMedzihradszky KF (2005) Peptide sequence analysis. Methods Enzymol 402(2000):209–244. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0076-6879(05)02007-0\nMontowska M, Pospiech E (2013) Species-specific expression of various proteins in meat tissue: proteomic analysis of raw and cooked meat and meat products made from beef, pork and selected poultry species. Food Chem 136(3–4):1461–1469. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2012.09.072\nMontowska M, Alexander MR, Tucker GA, Barrett DA (2014) Rapid detection of peptide markers for authentication purposes in raw and cooked meat using ambient liquid extraction surface analysis mass spectrometry. Anal Chem 86(20):10257–10265. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fac502449w\nMontowska M, Alexander MR, Tucker GA, Barrett DA (2015) Authentication of processed meat products by peptidomic analysis using rapid ambient mass spectrometry. Food Chem 187(April):297–304. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2015.04.078\nMurgiano L, Tammen I, Harlizius B, Drögemüller C (2012) A de novo germline mutation in MYH7 causes a progressive dominant myopathy in pigs. BMC Genet 13(1):99. https:\u002F\u002Fdoi.org\u002F10.1186\u002F1471-2156-13-99\nMurugaiah C, Mohd Noor Z, Mastakim M, Bilung LM, Selamat J, Radu S (2009) Meat species identification and halal authentication analysis using mitochondrial DNA. Meat Sci 83(1):57–61. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.meatsci.2009.03.015\nNakyinsige K, Che Man Y, Sazili AQ (2012) Halal authenticity issues in meat and meat products. Meat Sci 91(3):207–214. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.meatsci.2012.02.015\nNur Azira T, Amin I, Che Man YB (2012) Differentitation of bovine and porcine gelatins in processed products via sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) and principal component analysis (PCA) techniques. Int Food Res J 19(3):1175–1180\nOsorio MT, Downey G, Moloney AP, Röhrle FT, Luciano G, Schmidt O, Monahan FJ (2013) Beef authentication using dietary markers: chemometric selection and modelling of significant beef biomarkers using concatenated data from multiple analytical methods. Food Chem 141(3):2795–2801. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2013.05.118\nPerestam AT, Fujisaki KK, Nava O, Hellberg RS (2017) Comparison of real-time PCR and ELISA-based methods for the detection of beef and pork in processed meat products. Food Control 71:346–352. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodcont.2016.07.017\nRegenstein JM, Chaudry MM, Regenstein CE (2003) The kosher and halal food laws. Compr Rev Food Sci Food Saf 2(3):111–127. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fj.1541-4337.2003.tb00018.x\nRuiz Orduna A, Husby E, Yang CT, Ghosh D, Beaudry F (2015) Assessment of meat authenticity using bioinformatics, targeted peptide biomarkers and high-resolution mass spectrometry. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 32(10):1709–1717. https:\u002F\u002Fdoi.org\u002F10.1080\u002F19440049.2015.1064173\nSarah SA, Faradalila WN, Salwani MS, Amin I, Karsani SA, Sazili AQ (2016) LC–QTOF-MS identification of porcine-specific peptide in heat treated pork identifies candidate markers for meat species determination. Food Chem 199:157–164. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodchem.2015.11.121\nScarano D, Rao R (2014) DNA markers for food products authentication. Diversity 6(3):579–596. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fd6030579\nSen U, Sirin E, Ensoy U, Aksoy Y, Ulutas Z, Kuran M (2016) The effect of maternal nutrition level during mid-gestation on postnatal muscle fibre composition and meat quality in lambs. Anim Prod Sci 56(5):834–843. https:\u002F\u002Fdoi.org\u002F10.1071\u002FAN14663\nSkaara T, Regenstein JM (1990) The structure and properties of myofibrillar proteins in beef, poultry, and fish. J Muscle Foods 1(4):269–291. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fj.1745-4573.1990.tb00370.x\nSteen H, Mann M (2004) The abc’s (and xyz’s) of peptide sequencing. Nat Rev Mol Cell Biol 5(9):699–711. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fnrm1468\nvon Bargen C, Dojahn J, Waidelich D, Humpf H-U, Brockmeyer J (2013) New sensitive high-performance liquid chromatography–tandem mass spectrometry method for the detection of horse and pork in halal beef. J Agric Food Chem 61(49):11986–11994. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fjf404121b\nvon Bargen C, Brockmeyer J, Humpf H-U (2014) Meat authentication: a new HPLC–MS\u002FMS based method for the fast and sensitive detection of horse and pork in highly processed food. J Agric Food Chem 62(39):9428–9435. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fjf503468t\nWold S, Sjöström M (1998) Chemometrics, present and future success. Chemom Intell Lab Syst 44(1–2):3–14. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0169-7439(98)00075-6\nWright JC, Choudhary JS (2016) DecoyPyrat: fast non-redundant hybrid decoy sequence generation for large scale proteomics. J Proteomics Bioinform 9(6):176–180. https:\u002F\u002Fdoi.org\u002F10.4172\u002Fjpb.1000404 [doi]\nYeoh L-C, Dharmaraj S, Gooi B-H, Singh M, Gam L-H (2011) Chemometrics of differentially expressed proteins from colorectal cancer patients. World J Gastroenterol 17(16):2096–2103. https:\u002F\u002Fdoi.org\u002F10.3748\u002Fwjg.v17.i16.2096\nYuswan MH, Al-Obaidi JR, Rahayu A, Sahidan S, Shazrul F, Fauzi D (2015) New bioactive molecules with potential antioxidant activity from various extracts of wild edible Gelam mushroom (Boletus spp.). Adv Biosci Biotechnol 06(04):320–329. https:\u002F\u002Fdoi.org\u002F10.4236\u002Fabb.2015.64031\nZhang Y, Fonslow BR, Shan B, Baek M-C, Yates JR (2013) Protein analysis by shotgun\u002Fbottom-up proteomics. Chem Rev 113(4):2343–2394. https:\u002F\u002Fdoi.org\u002F10.1021\u002Fcr3003533\nZhang K, Fu Y, Zeng WF, He K, Chi H, Liu C, Li YC, Gao Y, Xu P, He SM (2015) A note on the false discovery rate of novel peptides in proteogenomics. Bioinformatics 31(20):3249–3253. https:\u002F\u002Fdoi.org\u002F10.1093\u002Fbioinformatics\u002Fbtv340",{"VOID":840},"10.1007\u002Fs12161-018-1327-6","2024-06-26T22:16:58.965+00:00","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs12161-018-1327-6",[844,859,874,887,900,922,935,950,965,978],{"id":845,"sortIndex":23,"researcher":22,"roles":846,"affiliations":847,"properties":856,"displayName":858,"givenName":22,"familyName":22},"52c78c6a-1549-4b89-9002-17004ba5160c",[162],[848],{"id":849,"sortIndex":23,"affiliation":850,"properties":22},"cd04810b-f56b-4e61-967a-8042a4fdc358",{"id":849,"createTime":22,"updateTime":22,"relativeEntities":851,"slug":22,"properties":852,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":855,"statistic":22},[],{"title":853},{"VI":854},"Laboratory of Halal Science Research, Halal Products Research Institute, Universiti Putra Malaysia (UPM), Serdang, 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are generally used worldwide against bacterial diseases in the treatment of food-producing animals. Since the residues of active agents or their metabolites can appear in these foods, the European Union, for instance, has set maximum residue limit concentrations for authorised veterinary drugs in foodstuffs. However, as yet, regulatory limits have not been established for honey and thus far, only recommendations exist. The aim of this study is to present a multiscreening method for residues in honey for the determination of 36 antimicrobial residues associated with several antibiotics of the B1 group (sulfonamides, trimethoprim, aminoglycosides, tetracyclines, quinolones and lincomycin) as well as the antibiotic griseofulvin. During the screening analysis, samples are hydrolysed in an acidified medium, purified on polymeric solid-phase extraction cartridges and subsequently analysed by reversed phase ion pair liquid chromatography tandem mass spectrometry. The liquid chromatographic separation was optimised by computer simulation with DryLab software. The positive identification of target compounds in suspicious samples was confirmed using earlier developed antibiotic class specific methods of which the aminoglycoside method is herein described in detail. The developed approaches were then applied to samples in the national monitoring program after their successful validation. Moreover, the screening and confirmatory methods were applied to proficiency test samples resulting in satisfactory identification and quantification. However, the analysis of real samples revealed that co-eluting target compounds can have considerable influence on the accuracy of this semi-quantitative multiscreening method.",{"EN":1079},"Determination of Antimicrobial Residues in Honey by Liquid Chromatography Tandem Mass Spectrometry",{"VOID":1081},"[\"16214327741590793243\"]",{"VOID":1083},"10.1007\u002Fs12161-018-1166-5","2024-05-03T16:06:35.666+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12161-018-1166-5",[1087,1102,1117,1132],{"id":1088,"sortIndex":23,"researcher":22,"roles":1089,"affiliations":1090,"properties":1099,"displayName":1101,"givenName":22,"familyName":22},"2256580b-ae06-485e-98e4-bb5f8a29d5b6",[162],[1091],{"id":1092,"sortIndex":23,"affiliation":1093,"properties":22},"9944b821-36b4-4a4b-8b93-19e24a1433eb",{"id":1092,"createTime":22,"updateTime":22,"relativeEntities":1094,"slug":22,"properties":1095,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1098,"statistic":22},[],{"title":1096},{"VI":1097},"National Food Chain Safety Office, Food and Feed Safety Directorate, Food Toxicological National Reference Laboratory, Budapest, Hungary",[],{"title":1100},{"VI":1101},"Ádám Tölgyesi",{"id":1103,"sortIndex":177,"researcher":22,"roles":1104,"affiliations":1105,"properties":1114,"displayName":1116,"givenName":22,"familyName":22},"a37c0b5c-84f6-4462-890b-a28c07122656",[162],[1106],{"id":1107,"sortIndex":23,"affiliation":1108,"properties":22},"19522f2e-f9c0-45c2-8792-528496f19190",{"id":1107,"createTime":22,"updateTime":22,"relativeEntities":1109,"slug":22,"properties":1110,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1113,"statistic":22},[],{"title":1111},{"VI":1112},"Department of Inorganic and Analytical Chemistry, Budapest University of Technology and Economics, Budapest, Hungary",[],{"title":1115},{"VI":1116},"Enikő Barta",{"id":1118,"sortIndex":191,"researcher":22,"roles":1119,"affiliations":1120,"properties":1129,"displayName":1131,"givenName":22,"familyName":22},"c6150d2c-ee7d-4a2c-a943-d2810a348068",[162],[1121],{"id":1122,"sortIndex":23,"affiliation":1123,"properties":22},"8b689be9-5f39-4350-b634-8da5ee15c53c",{"id":1122,"createTime":22,"updateTime":22,"relativeEntities":1124,"slug":22,"properties":1125,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1128,"statistic":22},[],{"title":1126},{"VI":1127},"Department of Chemistry, Florida Institute of Technology, 150 West University Boulevard, Melbourne, USA",[],{"title":1130},{"VI":1131},"Mary Sohn",{"id":1133,"sortIndex":114,"researcher":22,"roles":1134,"affiliations":1135,"properties":1144,"displayName":1146,"givenName":22,"familyName":22},"a4c59122-ef6e-4eb4-ae9b-0cd66d5fd7e2",[162],[1136],{"id":1137,"sortIndex":23,"affiliation":1138,"properties":22},"34fef227-4b20-4c32-a3ec-466cb5f2dde1",{"id":1137,"createTime":22,"updateTime":22,"relativeEntities":1139,"slug":22,"properties":1140,"entityType":22,"verifyStatus":22,"verifyTime":22,"verifyNote":22,"languages":22,"translateLanguages":22,"viewCount":22,"url":22,"parentIds":1143,"statistic":22},[],{"title":1141},{"VI":1142},"Department of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, USA",[],{"title":1145,"gsAuthor":1147},{"VI":1146},"Virender K. 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TrAC-Trend Anal Chem 30:1035–1041","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0165993611000999",{"doi":1227},"10.1016\u002Fj.trac.2011.02.014",{"id":22,"text":1229,"url":1230,"identifiers":1231},"CRL Guidance Paper (2007) CRLs view on state of the art analytical methods for the national residue control plans. http:\u002F\u002Fwww.rivm.nl\u002Fbibliotheek\u002Fdigitaaldepot\u002Fcrlguidance2007.pdf","http:\u002F\u002Fwww.rivm.nl\u002Fbibliotheek\u002Fdigitaaldepot\u002Fcrlguidance2007.pdf",{},{"id":22,"text":1233,"url":1234,"identifiers":1235},"CRL (2010) Guidelines for the validation of screening methods for residues of veterinary medicines (Initial validation and transfer). Community Reference Laboratories 20\u002F1\u002F2010. http:\u002F\u002Fec.europa.eu\u002Ffood\u002Ffood\u002Fchemicalsafety\u002Fresidues\u002FGuideline Validation Screening en.pdf Accessed 10 June 2017","http:\u002F\u002Fec.europa.eu\u002Ffood\u002Ffood\u002Fchemicalsafety\u002Fresidues\u002FGuidelineValidationScreeningen",{},{"id":22,"text":1237,"url":1238,"identifiers":1239},"Commission Decision of 12 August 2002 implementing Council Directive 96\u002FEC concerning the performance of analytical methods and the interpretation of results 2002\u002FEC concerning the performance of analytical methods and the interpretation of results (2002\u002F657\u002FEC) (2002) Off J Eur Commun L221","\u002F657\u002FEC",{},{"id":22,"text":1241,"url":22,"identifiers":1242},"Commission Regulation (EU) No 37\u002F2010 of 22 December 2009 on pharmacologically active substances and their classification regarding maximum residue limits in foodstuffs of animal origin (2010) Off J EU Legis L 15\u002F1",{},{"id":22,"text":1244,"url":1245,"identifiers":1246},"Fekete S, Fekete J, Molnár I, Ganzler K (2009) Rapid high performance liquid chromatography method development with high prediction accuracy, using 5cm long narrow bore columns packed with sub-2μm particles and Design Space computer modeling. J Chromatogr A 1216(45):7816–78EC concerning the performance of analytical methods and the interpretation of results 2002. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.chroma.2009.09.043","http:\u002F\u002Fdx.doi.org\u002F10.1016\u002Fj.chroma.2009.09.043",{"doi":1247},"10.1016\u002Fj.chroma.2009.09.043",{"id":1249,"text":1250,"url":1251,"identifiers":1252},"f6ac7bfc-fcca-41cf-bb88-6752601b6e6a","Forsgren E (2010) European foulbrood in honey bees. J Invertebr Pathol 103:S5–S9. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jip.2009.06.016","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0022201109001876",{"doi":1253},"10.1016\u002Fj.jip.2009.06.016",{"id":1255,"text":1256,"url":1257,"identifiers":1258},"11192565-9bc8-42d1-a20c-4a4abfae4d0f","Fyfe L, Okoro P, Paterson E, Coyle S, McDougall GJ (2017) Compositional analysis of Scottish honeys with antimicrobial activity against antibiotic-resistant bacteria reveals novel antimicrobial components. Food Sci Technol 79:52–59","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0023643817300233",{"doi":1259},"10.1016\u002Fj.lwt.2017.01.023",{"id":1261,"text":1262,"url":1263,"identifiers":1264},"4c68646b-0035-4279-8000-0006b275d4fa","Galarini R, Saluti G, Giusepponi D, Rossi R, Moretti S (2015) Multiclass determination of 27 antibiotics in honey. Food Control 48:12–24","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10440-022-00541-7",{"doi":1265},"10.1007\u002Fs10440-022-00541-7",{"id":22,"text":1267,"url":1268,"identifiers":1269},"Gaugain-Juhel M, Delépine B, Gautier S, Fourmond MP, Gaudin V, Hurtaud-Pessel D, Verdon E, Sanders P (2009) Validation of a liquid chromatography-tandem mass spectrometry screening method to monitor 58 antibiotics in milk: a qualitative approach. Food Addit Contam 26(11):1459–1471. https:\u002F\u002Fdoi.org\u002F10.1080\u002F02652030903150575","https:\u002F\u002Fdoi.org\u002F10.1080\u002F02652030903150575",{"mag":1270,"openalex":1271,"pm":1272,"doi":1273},"2008824703","W2008824703","19693719","10.1080\u002F02652030903150575",{"id":22,"text":1275,"url":1276,"identifiers":1277},"Genersch E (2010) American foulbrood in honeybees and its causative agent, Paenibacillus larvae. J Invertebr Pathol 103:S10–S19. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jip.2009.06.015","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jip.2009.06.015",{"mag":1278,"openalex":1279,"pm":1280,"doi":1281},"2022695709","W2022695709","19909971","10.1016\u002Fj.jip.2009.06.015",{"id":1283,"text":1284,"url":1285,"identifiers":1286},"9cc88074-fde3-45b0-99e4-ea34d536eb9e","Hammel Y-A, Mohamed R, Gremaud E, LeBreton M-H, Guy PA (2008) Multi-screening approach to monitor and quantify 42 antibiotic residues in honey by liquid chromatography–tandem mass spectrometry. J Chromatogr A 1177(1):58–76. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.chroma.2007.10.112","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0021967307018997",{"doi":1287},"10.1016\u002Fj.chroma.2007.10.112",{"id":22,"text":1289,"url":1290,"identifiers":1291},"Hawari KE, Mokh S, Doumyati S, Iskandarani MA, Verdon E (2017) Development and validation of a multiclass method for the determination of antibiotic residues in honey using liquid chromatography-tandem mass spectrometry. Food Addit Contam Part A 34(4):582–597. https:\u002F\u002Fdoi.org\u002F10.1080\u002F19440049.2016.1EC concerning the performance of analytical methods and the interpretation of results 20022491","https:\u002F\u002Fdoi.org\u002F10.1080\u002F19440049.2016.1232491",{"mag":1292,"openalex":1293,"pm":1294,"doi":1295},"2512727911","W2512727911","27601204","10.1080\u002F19440049.2016.1232491",{"id":22,"text":1297,"url":1298,"identifiers":1299},"JECFA (2013) Joint FAO\u002FWHO Expert Committee On Food Additives. Seventy-eighth meeting (Residues of veterinary drugs); 2013 Nov 5–14; Geneva. 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Food Chem 288:1–7",{"doi":1624},"10.1016\u002Fj.foodchem.2019.02.109",{"id":22,"text":1626,"url":22,"identifiers":1627},"Pedan V, Weber C, Do T, Fischer N, Reich E, Rohn S (2018) HPTLC fingerprint profile analysis of cocoa proanthocyanidins depending on origin and genotype. Food Chem 267:277–287",{"doi":1628},"10.1016\u002Fj.foodchem.2017.08.109",{"id":22,"text":1630,"url":22,"identifiers":1631},"Premarathne JMKJK, Satharasinghe DA, Gunasena ARC, Wanigasekara A, Munasinghe DMS, Abeynayake P (2018) Thin-layer chromatographic method for quantification of sulfonamides in chicken meat. Food Anal Methods 11(10):2666–2672",{"doi":1632},"10.1007\u002Fs12161-018-1229-7",{"id":22,"text":1634,"url":22,"identifiers":1635},"Qu L-L, Jia Q, Liu C, Wang W, Duan L, Yang G, Han C-Q, Li H (2018) Thin layer chromatography combined with surface-enhanced raman spectroscopy for rapid sensing aflatoxins. J Chromatogr A 1579:115–120",{"doi":1636},"10.1016\u002Fj.chroma.2018.10.024",{"id":22,"text":1638,"url":22,"identifiers":1639},"Rejšek J, Vrkoslav V, Vaikkinen A, Haapala M, Kauppila TJ, Kostiainen R, Cvačka J (2016) Thin-layer chromatography\u002Fdesorption atmospheric pressure photoionization orbitrap mass spectrometry of lipids. Anal Chem 88(24):12279–12286",{"doi":1640},"10.1021\u002Facs.analchem.6b03465",{"id":22,"text":1642,"url":22,"identifiers":1643},"Stanek N, Kafarski P, Jasicka-Misiak I (2019) Development of a high performance thin layer chromatography method for the rapid qualification and quantification of phenolic compounds and abscisic acid in honeys. J Chromatogr A 1598:209–215",{"doi":1644},"10.1016\u002Fj.chroma.2019.04.052",{"id":22,"text":1646,"url":22,"identifiers":1647},"Sun Y, Wang H, Wang W, Hu B, Zhou L, Ye H, Zeng X (2018) Changes in molecular structure of chickpea starch during processing treatments: a thin layer chromatography study. Food Chem 243:186–191",{"doi":1648},"10.1016\u002Fj.foodchem.2017.09.096",{"id":22,"text":1650,"url":22,"identifiers":1651},"Wang L, Chen Y, Ye Z, Hellmann B, Xu X, Jin Z, Ma Q, Yang N, Wu F, Jin Y (2018a) Screening of phenolic antioxidants in edible oils by HPTLC-DPPH assay and MS confirmation. Food Anal Methods 11(11):3170–3178",{"doi":1652},"10.1007\u002Fs12161-018-1295-x",{"id":22,"text":1654,"url":22,"identifiers":1655},"Wang L, Xu X-M, Chen Y-S, Ren J, Liu Y-T (2018b) HPTLC-FLD-SERS as a facile and reliable screening tool: exemplarily shown with tyramine in cheese. J Food Drug Anal 26(2):688–695",{"doi":1656},"10.1016\u002Fj.jfda.2017.07.007",{"id":22,"text":1658,"url":22,"identifiers":1659},"Wu Y, Xian Y, Guo X, Chen L, Zhao X, Wang B, Wang L (2018) Development and validation of a screening and quantification method for simultaneous determination of seven fluorescent whitening agents in commercial flour using UPLC–MS\u002FMS. Food Chem 243:162–167",{"doi":1660},"10.1016\u002Fj.foodchem.2017.09.110",{"id":22,"text":1662,"url":22,"identifiers":1663},"Xu L, Liu S (2021) Forecasting structure of natural products through color formation process by thin layer chromatography. Food Chem 334:127496",{"doi":1664},"10.1016\u002Fj.foodchem.2020.127496",{"id":22,"text":1666,"url":22,"identifiers":1667},"Xu L, Shu T, Liu S (2019) Simplified quantification of representative bioactives in food through TLC image analysis. Food Anal Methods 12(12):2886–2894",{"doi":1668},"10.1007\u002Fs12161-019-01645-x",{"id":1670,"createTime":1671,"updateTime":1672,"relativeEntities":1673,"slug":1674,"properties":1675,"entityType":154,"verifyStatus":301,"verifyTime":1684,"verifyNote":303,"languages":22,"translateLanguages":22,"viewCount":23,"primaryUrl":1685,"fullTextUrl":22,"authors":1686,"publicationType":216,"publisherRelationship":1767,"citationCount":115,"citationInfo":1831,"publishDate":1835,"publishYear":1832,"citationAnalyzeStatus":1836,"lastCitationAnalyze":1837,"indexDatabases":1838,"openAccess":22,"references":1839,"isForceReanalyzing":284},"50336aa2-5acf-44bc-8007-8ff4e7a8563b","2024-01-24T15:02:56.699+00:00","2026-07-16T06:04:53.998+00:00",[],"Tracing-Atlantic-Salmon-Salmo-salar-in-Processed-Fish-Products-Using-the-Novel-Loop-Mediated-Isothermal-Amplification-LAMP-and-PCR-Assays",{"abstract":1676,"title":1678,"gsPaper":1680,"doi":1682},{"EN":1677},"Due to the legislative shortcomings, Atlantic salmon often shares the common name of San Wen Yu (Chinese ideogram 三文鱼) with other salmonids in China, therefore concealing the differences with the rest salmonids in price, nutrition, and even food safety aspect, and also paving the way for species adulteration. To help prevent this episode, the present study aimed to develop novel loop-mediated isothermal amplification (LAMP) and PCR assays for rapid identification of Atlantic salmon in processed fish products. Primers (LAMP and PCR) specific for Atlantic salmon were designed and the specificity was successfully confirmed. The sensitivity of the PCR assay was about 10-fold higher than the LAMP assay. Direct detection of the LAMP-positive samples using SYBR green in daylight or under UV light was also validated, making the total analysis time of 80 min, far less than the PCR assay. Finally, the developed methods were successfully applied to commercially San Wen Yu products, and the presence of Atlantic salmon was highlighted in only six products.",{"EN":1679},"Tracing Atlantic Salmon (Salmo salar) in Processed Fish Products Using the Novel Loop-Mediated Isothermal Amplification (LAMP) and PCR 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A et al (2017) Evaluation of a loop-mediated isothermal amplification (LAMP) method for rapid on-site detection of horse meat. Food Control 81:9–15",{"doi":1265},{"id":1261,"text":1844,"url":1263,"identifiers":1845},"Barbuto M, Galimberti A, Ferri E, Labra M, Malandra R, Galli P, Casiraghi M (2010) DNA barcoding reveals fraudulent substitutions in shark seafood products: the Italian case of “palombo” (Mustelus spp.). Food Res Int 43:376–381",{"doi":1265},{"id":1261,"text":1847,"url":1263,"identifiers":1848},"Böhme K, Calo-Mata P, Barros-Velázquez J, Ortea I (2019) Review of recent DNA-based methods for main food-authentication topics. J Agric Food Chem 67:3854–3864",{"doi":1265},{"id":1261,"text":1850,"url":1263,"identifiers":1851},"Cao L, Naylor R, Henriksson P, Leadbitter D, Metian M, Troell M, Zhang W (2015) China's aquaculture and the world's wild fisheries. Science 347:133–135",{"doi":1265},{"id":1261,"text":1853,"url":1263,"identifiers":1854},"Caredda M, Addis M, Pes M, Fois N, Sanna G, Piredda G, Sanna G (2018) Physico-chemical, colorimetric, rheological parameters and chemometric discrimination of the origin of Mugil cephalus' roes during the manufacturing process of Bottarga. Food Res Int 108:128–135",{"doi":1265},{"id":1261,"text":1856,"url":1263,"identifiers":1857},"Cline E (2012) Marketplace substitution of Atlantic salmon for Pacific salmon in Washington state detected by DNA barcoding. Food Res Int 45:388–393",{"doi":1265},{"id":1859,"text":1860,"url":1861,"identifiers":1862},"122038db-95ec-45e8-9416-8eb9016d8447","Dalama J, Vieites JM, Espi Eira M (2015) Detection of the causal agents of Keriorrhea (Lepidocybium flavobrunneum and Ruvettus pretiosus) by means of real time PCR. Food Chem 174:326–329","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0308814614017993",{"doi":1863},"10.1016\u002Fj.foodchem.2014.11.070",{"id":1261,"text":1865,"url":1263,"identifiers":1866},"Dooley JJ, Sage HD, Brown HM, Garrett SD (2005) Improved fish species identification by use of lab-on-a-chip technology. Food Control 16:601–607",{"doi":1265},{"id":1868,"text":1869,"url":1870,"identifiers":1871},"e2f2b367-316e-4ea2-85ed-7390e61afed2","Fabinyi M, Liu N, Song Q, Li R (2016) Aquatic product consumption patterns and perceptions among the Chinese middle class. Reg Stud Mar Sci 7:1–9","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2352485516300135",{"doi":1872},"10.1016\u002Fj.rsma.2016.01.013",{"id":22,"text":1874,"url":22,"identifiers":1875},"FAO (2018) The state of world fisheries and aquaculture. Food and Agriculture Organization, Rome",{},{"id":1261,"text":1877,"url":1263,"identifiers":1878},"Gopi K, Mazumder D, Sammut J, Saintilan N (2019) Determining the provenance and authenticity of seafood: a review of current methodologies. Trends Food Sci Technol 91:294–304",{"doi":1265},{"id":22,"text":1880,"url":22,"identifiers":1881},"Graziano S, Gulli M, Marmiroli M (2017) Development and validation of a SYBR-green I real-time PCR test to detect bivalves including Mytilus species in foods. Int J Food Sci Technol 52(7):1567–1575",{},{"id":1261,"text":1883,"url":1263,"identifiers":1884},"Günther B, Raupach MJ, Knebelsberger T (2017) Full-length and mini-length DNA barcoding for the identification of seafood commercially traded in Germany. Food Control 73:922–929",{"doi":1265},{"id":1261,"text":1886,"url":1263,"identifiers":1887},"Hall TA (1999) BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95\u002F98\u002FNT. Nucleic Acids Symp Ser 41:95–98",{"doi":1265},{"id":1261,"text":1889,"url":1263,"identifiers":1890},"Handy SM, Deeds JR, Ivanova NV, Hebert PD, Hanner RH, Ormos A, Weigt LA, Moore MM, Yancy HF (2011) A single-laboratory validated method for the generation of DNA barcodes for the identification of fish for regulatory compliance. J AOAC Int 94:201–210",{"doi":1265},{"id":1261,"text":1892,"url":1263,"identifiers":1893},"Herrero B, Vieites JM, Espiñeira M (2011) Authentication of Atlantic salmon (Salmo salar) using real-time PCR. Food Chem 127:1268–1272",{"doi":1265},{"id":1261,"text":1895,"url":1263,"identifiers":1896},"Hill J, Beriwal S, Chandra I, Paul VK, Kapil A, Singh T, Wadowsky RM, Singh V, Goyal A, Jahnukainen T, Johnson JR, Tarr PI, Vats A (2008) Loop-mediated isothermal amplification assay for rapid detection of common strains of Escherichia coli. 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Rev Med Virol 18:407–421",{"doi":1265},{"id":1973,"text":1974,"url":1975,"identifiers":1976},"b2a2326d-4757-4728-8198-ed7a1397f86f","Pollack SJ, Kawalek MD, Williams-Hill DM, Hellberg RS (2017) Evaluation of DNA barcoding methodologies for the identification of fish species in cooked products. Food Control 84:297–304","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0956713517304097",{"doi":1977},"10.1016\u002Fj.foodcont.2017.08.013",{"id":1979,"text":1980,"url":1981,"identifiers":1982},"0275be7b-f9bd-4aa7-ab63-4e33058b4b06","Quek MC, Chin NL, Tan SW, Yusof YA, Law CL (2018) Molecular identification of species and production origins of edible bird's nest using FINS and SYBR green I based real-time PCR. 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Food Hydrocoll 21:527–536",{"doi":1265},{"id":1261,"text":1994,"url":1263,"identifiers":1995},"Rasmussen RS, Morrissey MT (2008) DNA-based methods for the identification of commercial fish and seafood species. Compr Rev Food Sci Food Saf 7:280–295",{"doi":1265},{"id":1261,"text":1997,"url":1263,"identifiers":1998},"Rasmussen RS, Morrissey MT, Hebert PDN (2009) DNA barcoding of commercially important Salmon and Trout species (Oncorhynchus and Salmo) from North America. J Agric Food Chem 57:8379–8385",{"doi":1265},{"id":1261,"text":2000,"url":1263,"identifiers":2001},"Saull J, Duggan C, Hobbs G, Edwards T (2016) The detection of Atlantic cod (Gadus morhua) using loop mediated isothermal amplification in conjunction with a simplified DNA extraction process. Food Control 59:306–313",{"doi":1265},{"id":2003,"text":2004,"url":2005,"identifiers":2006},"3b1ae279-c069-4e60-81c1-20ac916f91ba","Sheu S, Tsou P, Lien Y, Lee M (2018) Development of loop-mediated isothermal amplification (LAMP) assays for the rapid detection of allergic peanut in processed food. Food Chem 257:67–74","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0308814618303728",{"doi":2007},"10.1016\u002Fj.foodchem.2018.02.124",{"id":2009,"text":2010,"url":2011,"identifiers":2012},"36253f72-1f31-4b26-a67c-3d06b9b255b8","Skov J et al (2014) Parasite infections of rainbow trout (Oncorhynchus mykiss) from Danish mariculture. 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Food Control 60:519–532",{"doi":1265},{"id":2045,"text":2046,"url":2047,"identifiers":2048},"e19e3d9b-be97-4e04-a01b-a864ff3387fe","Xiong X et al (2018) Multiple fish species identified from China's roasted Xue Yu fillet products using DNA and mini-DNA barcoding: implications on human health and marine sustainability. Food Control 88:123–130","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS095671351730614X",{"doi":2049},"10.1016\u002Fj.foodcont.2017.12.035",{"id":1261,"text":2051,"url":1263,"identifiers":2052},"Ye J, Feng J, Dai Z, Meng L, Zhang Y, Jiang X (2017) Application of loop-mediated isothermal amplification (LAMP) for rapid detection of jumbo flying squid Dosidicus gigas (D’Orbigny, 1835). Food Anal Methods 10:1452–1459",{"doi":1265},{"id":2054,"createTime":2055,"updateTime":2056,"relativeEntities":2057,"slug":2058,"properties":2059,"entityType":154,"verifyStatus":301,"verifyTime":2068,"verifyNote":303,"languages":22,"translateLanguages":22,"viewCount":177,"primaryUrl":2069,"fullTextUrl":22,"authors":2070,"publicationType":216,"publisherRelationship":2086,"citationCount":1834,"citationInfo":2150,"publishDate":2153,"publishYear":2151,"citationAnalyzeStatus":21,"lastCitationAnalyze":2154,"indexDatabases":2155,"openAccess":22,"references":2156,"isForceReanalyzing":284},"fb6b4db7-3aaf-469a-8057-cd18dde8e79f","2024-01-16T22:56:39.775+00:00","2026-07-15T19:10:05.646+00:00",[],"Properties-of-bee-honeys-and-respective-analytical-methods",{"abstract":2060,"title":2062,"gsPaper":2064,"doi":2066},{"EN":2061},"The paper presents information concerning the beneficial and harmful effects of honey on human health. Selected therapeutic properties and components responsible for the antibiotic activity of honey are discussed, along with the impact of different factors and technological treatments on these properties. This paper also presents methods applied in the analyses of antioxidant and antibacterial properties of bee products. The purpose of the following study is to present a review of the health properties of honey and the effect of various factors on these properties. Honey is a valuable product because of its nutritional and health properties. It should be noted, however, that individual botanical varieties of honey exhibit different levels of nutritional and health properties, including antibacterial properties.",{"EN":2063},"Properties of bee honeys and respective analytical 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Poland",[],{"title":2084},{"VI":2085},"Kamila 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Orig Res Article Arch Med Res 44(4):307–316. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.arcmed.2013.04.009","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.arcmed.2013.04.009",{"mag":2190,"openalex":2191,"pm":2192,"doi":2193},"2068752915","W2068752915","23684665","10.1016\u002Fj.arcmed.2013.04.009",{"id":22,"text":2195,"url":2196,"identifiers":2197},"Al-Waili N, Salom K, Al-Ghamdi A, Ansari MJ, Al-Waili A, Al-Waili T (2013b) Honey and cardiovascular risk factors, in normal individuals and in patients with diabetes mellitus or dyslipidemia. J Med Food 16(1):1063–1078. https:\u002F\u002Fdoi.org\u002F10.1089\u002Fjmf.2012.0285","https:\u002F\u002Fdoi.org\u002F10.1089\u002Fjmf.2012.0285",{"mag":2198,"openalex":2199,"pm":2200,"doi":2201},"1948763467","W1948763467","24328699","10.1089\u002Fjmf.2012.0285",{"id":22,"text":2203,"url":2204,"identifiers":2205},"Anthimidou E, Mossialos D (2013) Antibacterial activity of Greek and Cypriot honeys against Staphylococcus aureus and Pseudomonas aeruginosa in comparison to manuka honey. 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LWT Food Sci Technol 57:767–774. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.lwt.2014.01.034","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.lwt.2014.01.034",{"mag":2678,"openalex":2679,"doi":2680},"2083886439","W2083886439","10.1016\u002Fj.lwt.2014.01.034",{"id":22,"text":2682,"url":2683,"identifiers":2684},"Zhang Y, Li XQ, Li HM, Zhang QH, Gao Y, Li XJ (2019) Antibiotic residues in honey: A review on analytical methods by liquid chromatography tandem mass spectrometry. Trends Anal Chem 110:344–356. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trac.2018.11.015","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trac.2018.11.015",{"mag":2685,"openalex":2686,"doi":2687},"2903053571","W2903053571","10.1016\u002Fj.trac.2018.11.015",{"id":2689,"createTime":2690,"updateTime":2691,"relativeEntities":2692,"slug":2693,"properties":2694,"entityType":154,"verifyStatus":301,"verifyTime":2705,"verifyNote":303,"languages":22,"translateLanguages":22,"viewCount":23,"primaryUrl":2706,"fullTextUrl":22,"authors":2707,"publicationType":216,"publisherRelationship":2736,"citationCount":23,"citationInfo":2800,"publishDate":2803,"publishYear":2801,"citationAnalyzeStatus":2804,"lastCitationAnalyze":2691,"indexDatabases":2805,"openAccess":22,"references":22,"isForceReanalyzing":284},"64efd2ae-e7f5-4946-8087-d04133743cfd","2023-12-02T13:12:41.385+00:00","2026-07-14T13:01:33.642+00:00",[],"Simultaneous-Determination-of-Aflatoxins-in-Pistachio-Using-Ultrasonically-Stabilized-Chloroform-Water-Emulsion-and-HPLC",{"abstract":2695,"title":2697,"gsPaper":2699,"references":2701,"doi":2703},{"EN":2696},"Simultaneous determinations of aflatoxins (AFs) in pistachio at μg\u002Fkg concentrations were performed using ultrasonic chloroform\u002Fwater emulsion microextraction (USAEME) and HPLC-UV measurement. A chloroform\u002Fwater emulsion was stabilized using ultrasonic agitation for the purification of AFs extracted from pistachios using methanol\u002Fwater. Because the method effectively purified and concentrated AFs, the AFs could be measured directly and without further preconcentration using HPLC-UV. Preparation of AF derivatives for fluorescence measurement was not required. In the optimized procedure, the AF calibration curves were linear for all AFs with correlation coefficients that ranged from 0.9913 to 0.9994. The detection limit was between 0.3 and 1.4 μg\u002Fkg, and quantification limit was obtained between 1.1 and 3.2 μg\u002Fkg (n = 3); the largest relative standard deviation was obtained \u003C9.78 % (n = 3) at 3 μg\u002Fkg, and recoveries ranged from 81.2 to 101.6 % at spiking levels of 0.4, 0.8, 2, and 4 μg\u002Fkg. Application of this method to the measurement of AFs in pistachio samples indicated that USAEME coupled with HPLC-UV can determine trace AF levels. The USAEME method is simple, sensitive, and cost-effective in comparison to previous methods.",{"EN":2698},"Simultaneous Determination of Aflatoxins in Pistachio Using Ultrasonically Stabilized Chloroform\u002FWater Emulsion and HPLC",{"VOID":2700},"[\"17837189140959526568\"]",{"VOID":2702},"Afzali D, Ghanbarian M, Mostafavi A, Shamspur T, Ghaseminezhad S (2012) A novel method for high preconcentration of ultra trace amounts of B1, B2, G1 and G2 aflatoxins in edible oils by dispersive liquid–liquid microextraction after immunoaffinity column clean-up. J Chromatogr A 1247:35–41. doi:10.1016\u002Fj.chroma.2012.05.051\nArroyo-Manzanares N, García-Campaña AM, Gámiz-Gracia L (2013) Multiclass mycotoxin analysis in Silybum marianum by ultra high performance liquid chromatography–tandem mass spectrometry using a procedure based on QuEChERS and dispersive liquid–liquid microextraction. 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