Process optimization and kinetics study for photocatalytic ciprofloxacin degradation using TiO2 nanoparticle: A comparative study of Artificial Neural Network and Surface Response Methodology

Journal of the Indian Chemical Society - Tập 99 Số 8 - Trang 100584 - 2022
Nitesh Parmar1, Jitendra Kumar Srivastava1
1Department of Chemical Engineering, Ujjain Engineering College, Ujjain, 456010, Madhya Pradesh, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

Zulfiqar, 2019, Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: an insight into response surface methodology and artificial neural network, J. Photochem. Photobiol., A, 384, 10.1016/j.jphotochem.2019.112039

Kassahun, 2021, Process optimization and kinetics analysis for photocatalytic degradation of emerging contaminant using N-doped TiO2-SiO2 nanoparticle: artificial Neural Network and Surface Response Methodology approach, Environ. Technol. Innovat., 23

Smaali, 2021, Photocatalytic-persulfate-oxidation for diclofenac removal from aqueous solutions: modeling, optimization and biotoxicity test assessment, Chemosphere, 266, 10.1016/j.chemosphere.2020.129158

Vasseghian, 2021, Data mining for pesticide decontamination using heterogeneous photocatalytic processes, Chemosphere, 270, 10.1016/j.chemosphere.2020.129449

Verma, 2020, Photocatalytic degradation of Amoxicillin in pharmaceutical wastewater: a potential tool to manage residual antibiotics, Environ. Technol. Innovat., 20

Akter, 2022, UV/TiO2 photodegradation of metronidazole, ciprofloxacin and sulfamethoxazole in aqueous solution: an optimization and kinetic study, Arab. J. Chem., 15, 10.1016/j.arabjc.2022.103900

Cigeroglu, 2021, Preparation of ZnO/BaTiO3 adsorbent using Elaeagnus Angustifolia L. leaf extract and its evaluation for ciprofloxacin removal from aqueous solutions: an optimization study, Biomass Convers. Biorefin., 11, 1407, 10.1007/s13399-021-01593-9

Jiang, 2020, A generalized predictive model for TiO2–Catalyzed photo-degradation rate constants of water contaminants through artificial neural network, Environ. Res., 187, 10.1016/j.envres.2020.109697

Xiao, 2022, Energy-efficient removal of carbamazepine in solution by electrocoagulation-electrofenton using a novel P-rGO cathode, J. Environ. Sci., 115, 88, 10.1016/j.jes.2021.07.019

Hemmati, 2020, RSM and ANN modeling of hold up, slip, and characteristic velocities in standard systems using pulsed disc-and-doughnut contactor column, Separ. Sci. Technol., 56, 2734, 10.1080/01496395.2020.1842890

Rekhate, 2020, Decolonization of azo dye solution by ozone based advanced oxidation processes: optimization using response surface methodology and neural network, Ozone: Sci. Eng., 42, 492, 10.1080/01919512.2020.1714426

Parmar, 2021, Degradation of pharmaceutical antibiotic (ciprofloxacin) by photocatalysis process using sol-gel based titanium dioxide nanoparticles, Int. J. Chem. React. Eng., 19, 929, 10.1515/ijcre-2021-0076

Singh, 2014, Photo and UV degradation of ciprofloxacin antibiotic, Int. J. Curr. Microbiol. App. Sci., 3, 641

Heidari, 2020, Degradation of furosemide using photocatalytic ozonation in the presence of ZnO/ICLT nanocomposite particles: experimental, modeling, optimization and mechanism evaluation, J. Mol. Liq., 319, 10.1016/j.molliq.2020.114193

Topal, 2020, Optimization of tetracycline removal with chitosan obtained from mussel shells using RSM, J. Ind. Eng. Chem., 84, 315, 10.1016/j.jiec.2020.01.013

Antonopoulou, 2013, Optimization and modeling of the photocatalytic degradation of the insect repellent DEET in aqueous TiO2 suspensions, Clean, 41, 593

Baaloudj, 2021, Artificial neural network modeling of cefixime photodegradation by synthesized CoBi2O4 nanoparticles, Environ. Sci. Pollut. Res., 28, 15436, 10.1007/s11356-020-11716-w

Mahdizadeh, 2019, Optimization of ciprofloxacin removal from aqueous solutions by a novel semi-fluid Fe/charcoal micro-electrolysis reactor using response surface methodology, Process Saf. Environ. Protect., 123, 299, 10.1016/j.psep.2019.01.024

Ayodele, 2021, Modeling the effect of process parameters on the photocatalytic degradation of organic pollutants using artificial neural networks, Process Saf. Environ. Protect., 145, 120, 10.1016/j.psep.2020.07.053

Azadi, 2018, Modeling and optimization of photocatalytic treatment of landfill leachate using tungsten-doped TiO2 nano-photocatalysts: application of artificial neural network and genetic algorithm, Process Saf. Environ. Protect., 117, 267, 10.1016/j.psep.2018.03.038

Yousefi, 2021, Comparison of LSSVM and RSM in simulating the removal of ciprofloxacin from aqueous solutions using magnetization of functionalized multi-walled carbon nanotubes: process optimization using GA and RSM techniques, J. Environ. Chem. Eng., 9, 10.1016/j.jece.2021.105677

Saha, 2020, Comparative studies of extraction ability of organic solvents to extract thiophene from model fuel, Separ. Sci. Technol., 55, 1123, 10.1080/01496395.2019.1580292

Massoudinejad, 2019, Preparation, characterization, and application of N,S-codoped TiO/montmorillonite nanocomposite for the photocatalytic degradation of ciprofloxacin: optimization by response surface methodology, Pol. J. Chem. Technol., 20, 66, 10.2478/pjct-2018-0056

Martins, 2018, TiO2/graphene and TiO2/graphene oxide nanocomposites for photocatalytic applications: a computer modeling and experimental study, Compos. B Eng., 145, 39, 10.1016/j.compositesb.2018.03.015

Basturk, 2021, Multivariate optimization of cephalexin, ciprofloxacin, and clarithromycin degradation in medical laboratory wastewater by ozonation, Ozone: Sci. Eng.

Oruê, 2021, Kinetic study of manganese precipitation of nickel laterite leach based-solution by ozone oxidation, Ozone: Sci. Eng., 43, 324, 10.1080/01919512.2020.1796580

Khoshnamvand, 2018, Response surface methodology (RSM) modeling to improve removal of ciprofloxacin from aqueous solutions in photocatalytic process using copper oxide nanoparticles (CuO/UV), Amb. Express, 8, 1, 10.1186/s13568-018-0579-2

Yu, 2015, Controllable preparation, characterization and performance of Cu2O thin film and photocatalytic degradation of methylene blue using response surface methodology, Mater. Res. Bull., 64, 410, 10.1016/j.materresbull.2015.01.009

Moghadam, 2021, Comparative study of response surface methodology and adaptive neuro-fuzzy inference system for removal of 6-APA. Iran, J. Sci. Technol. Trans. Sci., 45, 1645, 10.1007/s40995-021-01130-3

Hassani, 2015, Photocatalytic degradation of ciprofloxacin by synthesized TiO2 nanoparticles on montmorillonite: effect of operation parameters and artificial neural network modeling, J. Mol. Catal. Chem., 409, 149, 10.1016/j.molcata.2015.08.020

Babaei, 2021, A heterogeneous photocatalytic sulfate radical-based oxidation process for efficient degradation of 4-chlorophenol using TiO2 anchored on Fe oxides@ carbon, Process Saf. Environ. Protect., 149, 35, 10.1016/j.psep.2020.10.028

Malakootian, 2019, A facile and green method for synthesis of ZnFe2O4@ CMC as a new magnetic nanophotocatalyst for ciprofloxacin removal from aqueous media, MethodsX, 6, 1575, 10.1016/j.mex.2019.06.018

Feng, 2021, Degradation of aqueous methylparaben by non-thermal plasma combined with ZnFe2O4-rGO nanocomposites: performance, multi-catalytic mechanism, influencing factors and degradation pathways, Chemosphere, 271, 10.1016/j.chemosphere.2021.129575

Akbari, 2021, Efficient photocatalytic degradation of ciprofloxacin under UVA-LED, using S, N-doped MgO nanoparticles: synthesis, parametrization and mechanistic interpretation, J. Mol. Liq., 324, 10.1016/j.molliq.2020.114831

Nekouei, 2017, Comparative study of photocatalytic activities of Zn5(OH)8Cl2H2O and ZnO nanostructures in ciprofloxacin degradation: response surface methodology and kinetic studies, Sci. Total Environ., 601, 508, 10.1016/j.scitotenv.2017.05.117

Eskandari, 2019, Adsorption and photodegradation efficiency of TiO2/Fe2O3/PAC and TiO2/Fe2O3/zeolite nanophotocatalysts for the removal of cyanide, Ind. Eng. Chem. Res., 58, 2099, 10.1021/acs.iecr.8b05073

Rekhate, 2021, Photocatalytic ozonation of municipal wastewater for degradation of phenol using Fe doped TiO2 nanoparticles: optimization using RSM, Desalination Water Treat., 224, 228, 10.5004/dwt.2021.27205

Hassani, 2018, Photocatalytic ozonation of ciprofloxacin from aqueous solution using TiO2/MMT nanocomposite: nonlinear modeling and optimization of the process via artificial neural network integrated genetic algorithm, Process Saf. Environ. Protect., 116, 365, 10.1016/j.psep.2018.03.013

Zulfiqar, 2020, Response surface methodology and artificial neural network for remediation of acid orange 7 using TiO2-P25: optimization and modeling approach, Environ. Sci. Pollut. Res., 27, 34018, 10.1007/s11356-020-09674-4

Das, 2014, The photocatalytic degradation of carbamazepine and prediction by artificial neural networks, Process Saf. Environ. Protect., 92, 888, 10.1016/j.psep.2013.10.001

Berkani, 2020, Photocatalytic degradation of industrial dye in semi-pilot scale prototype solar photoreactor: optimization and modeling using ANN and RSM based on Box–Wilson approach, Top. Catal., 63, 964, 10.1007/s11244-020-01320-0

Shargh, 2016, A high-efficient batch-recirculated photoreactor packed with immobilized TiO2-P25 nanoparticles onto glass beads for photocatalytic degradation of phenazopyridine as a pharmaceutical contaminant: artificial neural network modeling, Water Sci. Technol., 73, 2804, 10.2166/wst.2016.132

Aghaeinejad-Meybodi, 2015, Modeling and optimization of antidepressant drug fluoxetine removal in aqueous media by ozone/H2O2 process: comparison of central composite design and artificial neural network approaches, J. Taiwan Inst. Chem. Eng., 48, 40, 10.1016/j.jtice.2014.10.022

Roohi, 2016, Comparison of central composite design and artificial neural network approaches for modeling and optimization of 2-methylpropane-2-thiol removal from contaminated soil by ultrasound. Iran, J. Environ. Technol., 2, 11

Pelalak, 2020, Degradation of sulfonamide antibiotics using ozone-based advanced oxidation process: experimental, modeling, transformation mechanism and DFT study, Sci. Total Environ., 734, 10.1016/j.scitotenv.2020.139446

Sisi, 2020, Comparative study of sonocatalytic process using MOF-5 and peroxydisulfate by central composite design and artificial neural network, J. Mol. Liq., 316

Barışçı, 2016, Optimization and modeling using the response surface methodology (RSM) for ciprofloxacin removal by electro coagulation, Water Sci. Technol., 73, 1673, 10.2166/wst.2015.649

Sarkhosh, 2019, Enhancing photo-degradation of ciprofloxacin using simultaneous usage of eaq− and •OH over UV/ZnO/I-process: efficiency, kinetics, pathways, and mechanisms, J. Hazard Mater., 377, 418, 10.1016/j.jhazmat.2019.05.090

Boudriche, 2017, UV‐C‐driven oxidation of ciprofloxacin in conventionally treated urban wastewater: degradation kinetics, ecotoxicity and phytotoxicity assessment and inactivation of ciprofloxacin‐resistant Escherichia coli, J. Chem. Technol. Biotechnol., 92, 1380, 10.1002/jctb.5133

Osouleddini, 2020, Application of artificial neural networks and response surface methodology for analysis of malachite green removal from aqueous solution using phosphoric acid-modified pumice powder: kinetic and isotherm studies, Desalination Water Treat., 178, 296, 10.5004/dwt.2020.24948

Malakootian, 2020, Photocatalytic degradation of ciprofloxacin antibiotic by TiO2 nanoparticles immobilized on a glass plate, Chem. Eng. Commun., 207, 56, 10.1080/00986445.2019.1573168

Nasiri, 2021, CoFe2O4@ methylcellulose synthesized as a new magnetic nanocomposite to tetracycline adsorption: modeling, analysis, and optimization by response surface methodology, J. Polym. Res., 28

Ghaedi, 2015, Artificial neural network (ANN) method for modeling of sunset yellow dye adsorption using nickel sulfide nanoparticle loaded on activated carbon: kinetic and isotherm study, J. Dispersion Sci. Technol., 36, 1339, 10.1080/01932691.2014.964359

Maghsoudi, 2015, Artificial neural network (ANN) method for modeling of sunset yellow dye adsorption using zinc oxide nanorods loaded on activated carbon: kinetic and isotherm study, Spectrochim. Acta Mol. Biomol. Spectrosc., 134, 1, 10.1016/j.saa.2014.06.106

El Sikaily, 2006, Removal of methylene blue from aqueous solution by marine green alga Ulva lactuca, Chem. Ecol., 22, 149, 10.1080/02757540600579607