Modeling and optimization of simultaneous degradation of rhodamine B and acid red 14 binary solution by homogeneous Fenton reaction: a chemometrics approach
Modeling and optimization of simultaneous degradation of rhodamine B and acid red 14 binary solution by homogeneous Fenton reaction: a chemometrics approach
This study aimed to propose a mathematical method to investigate and optimize the simultaneous elimination process of multiple organic pollutants using the Fenton process. Hence, the treatment of rhodamine B (RB) and acid red 14 (AR14) dyes in their binary solution was studied. Multivariate curve resolution alternating least square (MCR-ALS), a novel chemometric method, was applied along with correlation constraints to resolute the UV-Vis spectrophotometric data, enabling quantification of investigated dyes despite a high spectral overlapping. Response surface methodology was adopted to assess the model and optimize individual and interactive effects of three independent factors $(Fe^{2+} , H_2 O_2$ and initial pH) on the simultaneous elimination of RB and AR14. The values of the regression coefficient for RB and AR14 were determined as 98.48 and 98.67 percent, respectively, revealing the reliability of the obtained polynomial models to predict decolorization efficiencies. Desirability function was employed to optimize the independent variables to attain the highest possible degradation performance for both dyes in their binary solution. At the optimum point of operation $([Fe^{2+} ]$ = 143.88 mg/L, [$H_2 O_2$] = 126.89 mg/L and pH = 3.71), degradation efficiencies of RB and AR14 were found as 81.58% and 80.22%, respectively, which were nearly identical to the experimental results
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- 1. Lellis B, Fávaro-Polonio CZ, Pamphile JA, Polonio JC. Effects of textile dyes on health and the environment and bioremediation potential of living organisms. Biotechnology Research and Innovation 2019; 3 (2): 275-290. doi: 10.1016/j.biori.2019.09.001
- 2. Karimifard S, Alavi Moghaddam MR. Application of response surface methodology in physicochemical removal of dyes from wastewater: a critical review. Science of The Total Environment 2018; 640-641: 772-797. doi: 10.1016/j.scitotenv.2018.05.355
- 3. Berradi M, Hsissou R, Khudhair M, Assouag M, Cherkaoui O et al. Textile finishing dyes and their impact on aquatic environs. Heliyon 2019; 5 (11): e02711. doi: 10.1016/j.heliyon.2019.e02711
- 4. Chen B, Jiang C, Yu D, Wang Y, Xu T. Design of an alternative approach for synergistic removal of multiple contaminants: water splitting coagulation. Chemical Engineering Journal 2020; 380: 122531. doi: 10.1016/j.cej.2019.122531
- 5. Hasanzadeh M, Simchi A, Shahriyari Far H. Nanoporous composites of activated carbon-metal organic frameworks for organic dye adsorption: Synthesis, adsorption mechanism and kinetics studies. Journal of Industrial and Engineering Chemistry 2020; 81: 405-414. doi: 10.1016/j.jiec.2019.09.031
- 6. Oliveira JMS, De Lima e Silva MR, Issa CG, Corbi JJ, Damianovic MHRZ et al. Intermittent aeration strategy for azo dye biodegradation: A suitable alternative to conventional biological treatments? Journal of Hazardous Materials 2020; 385: 121558. doi: 10.1016/j.jhazmat.2019.121558
- 7. Nomura Y, Fukahori S, Fujiwara T. Removal of 1,4-dioxane from landfill leachate by a rotating advanced oxidation contactor equipped with activated carbon/TiO2 composite sheets. Journal of Hazardous Materials 2020; 383: 121005. doi: 10.1016/j.jhazmat.2019.121005
- 8. DÜKKANCI M. Degradation of bisphenol-a using a sonophoto Fenton-like hybrid process over a LaFeO $ _{3}$ perovskite catalyst and a comparison of its activity with that of a TiO $ _{2}$ photocatalyst. Turkish Journal of Chemistry 2016; 40 (5): 784-801.
- 9. Moradi SE, Dadfarnia S, Haji Shabani AM, Emami S. Microwave-enhanced Fenton-like degradation by surfacemodified metal-organic frameworks as a promising method for removal of dye from aqueous samples. Turkish Journal of Chemistry 2017; 41 (3): 426-439.
- 10. Baştürk E, Alver A. Modeling azo dye removal by sono-fenton processes using response surface methodology and artificial neural network approaches. Journal of Environmental Management 2019; 248: 109300. doi: 10.1016/j.jenvman.2019.109300
- 11. Sözen S, Olmez-Hanci T, Hooshmand M, Orhon D. Fenton oxidation for effective removal of color and organic matter from denim cotton wastewater without biological treatment. Environmental Chemistry Letters 2020; 18 (1): 207-213. doi: 10.1007/s10311-019-00923-8
- 12. Zhao L, Dai T, Qiao Z, Sun P, Hao J et al. Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse. Process Safety and Environmental Protection 2020; 133: 169-182. doi: 10.1016/j.psep.2019.11.014
- 13. Elhalil A, Tounsadi H, Elmoubarki R, Mahjoubi FZ, Farnane M et al. Factorial experimental design for the optimization of catalytic degradation of malachite green dye in aqueous solution by Fenton process. Water Resources and Industry 2016; 15: 41-48. doi: 10.1016/j.wri.2016.07.002
- 14. Le TT, Murugesan K, Lee C-S, Vu CH, Chang Y-S et al. Degradation of synthetic pollutants in real wastewater using laccase encapsulated in core–shell magnetic copper alginate beads. Bioresource Technology 2016; 216: 203- 210. doi: 10.1016/j.biortech.2016.05.077
- 15. Rad LR, Irani M, Divsar F, Pourahmad H, Sayyafan MS et al. Simultaneous degradation of phenol and paracetamol during photo-Fenton process: design and optimization. Journal of the Taiwan Institute of Chemical Engineers 2015; 47: 190-196. doi: 10.1016/j.jtice.2014.10.014
- 16. Yehia AM, Elbalkiny HT, Riad SaM, Elsaharty YS. Chemometrics for resolving spectral data of cephalosporines and tracing their residue in waste water samples. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2019; 219: 436-443. doi: 10.1016/j.saa.2019.04.081
- 17. Shams Nateri A, Mohtasham J. The effect of unit k/s calculation and spectral overlapping on the performance of color matching. Color Research & Application 2017; 42 (5): 591-598. doi: 10.1002/col.22130
- 18. Yaseen DA, Scholz M. Treatment of synthetic textile wastewater containing dye mixtures with microcosms. Environmental Science and Pollution Research 2018; 25 (2): 1980-1997. doi: 10.1007/s11356-017-0633-7
- 19. Kumar V, Pandey N, Dharmadhikari S, Ghosh P. Degradation of mixed dye via heterogeneous Fenton process: Studies of calcination, toxicity evaluation, and kinetics. Water Environment Research 2020; 92 (2): 211-221 . doi: 10.1002/wer.1192
- 20. Akkaya GK, Erkan HS, Sekman E, Top S, Karaman H et al. Modeling and optimizing Fenton and electroFenton processes for dairy wastewater treatment using response surface methodology. International Journal of Environmental Science and Technology 2019; 16 (5): 2343-2358. doi: 10.1007/s13762-018-1846-0
- 21. Meng X, Khoso SA, Wu J, Tian M, Kang J et al. Efficient COD reduction from sulfide minerals processing wastewater using Fenton process. Minerals Engineering 2019; 132: 110-112. doi: 10.1016/j.mineng.2018.11.054
- 22. Bouafia-Chergui S, Oturan N, Khalaf H, Oturan MA. A photo-Fenton treatment of a mixture of three cationic dyes. Procedia Engineering 2012; 33: 181-187. doi: 10.1016/j.proeng.2012.01.1192
- 23. Thomas M, Barbusinski K, Piskorz P, Kozik V, Bąk A. Optimization of the Fenton oxidation of synthetic textile wastewater using response surface methodology. Fibres and Textiles in Eastern Europe 2017; 25: 108-113. doi: 10.5604/01.3001.0010.5380
- 24. Kerkez Đ, Becelic-Tomin M, Kulic A, Tomasevic Pilipović D, Leovac Maćerak A et al. Treatment of wastewater containing dye mixture using pyrite cinder in heterogeneous Fenton process 2018. doi: 10.24867/GRID-2018-p20
- 25. Bilińska L, Gmurek M, Ledakowicz S. Comparison between industrial and simulated textile wastewater treatment by AOPs – biodegradability, toxicity and cost assessment. Chemical Engineering Journal 2016; 306: 550-559. doi: 10.1016/j.cej.2016.07.100
- 26. Hassani A, Khataee A, Karaca S, Fathinia M. Degradation of mixture of three pharmaceuticals by photocatalytic ozonation in the presence of TiO2/montmorillonite nanocomposite: Simultaneous determination and intermediates identification. Journal of Environmental Chemical Engineering 2017; 5 (2): 1964-1976. doi: 10.1016/j.jece.2017.03.032
- 27. Mohseni N, Bahram M. Mean centering of ratio spectra for colorimetric determination of morphine and codeine in pharmaceuticals and biological samples using melamine modified gold nanoparticles. Analytical Methods 2016; 8 (37): 6739-6747. doi: 10.1039/C6AY02091G
- 28. Fathinia M, Khataee A, Naseri A, Aber S. Monitoring simultaneous photocatalytic-ozonation of mixture of pharmaceuticals in the presence of immobilized TiO2 nanoparticles using MCR-ALS: Identification of intermediates and multi-response optimization approach. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2015; 136 Part C: 1275-1290. doi: 10.1016/j.saa.2014.10.014
- 29. Khataee A, Gohari S, Fathinia M. Modification of magnetite ore as heterogeneous nanocatalyst for degradation of three textile dyes: simultaneous determination using MCR-ALS, process optimization and intermediate identification. Journal of the Taiwan Institute of Chemical Engineers 2016; 65: 172-184. doi: 10.1016/j.jtice.2016.04.036
- 30. Pandey A, Gupta A, Sunny A, Kumar S, Srivastava S. Multi-objective optimization of media components for improved algae biomass, fatty acid and starch biosynthesis from Scenedesmus sp. ASK22 using desirability function approach. Renewable Energy 2020; 150: 476-486. doi: 10.1016/j.renene.2019.12.095
- 31. Gomes FM, Pereira FM, Silva AF, Silva MB. Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions. Knowledge-Based Systems 2019; 179: 21-33. doi: 10.1016/j.knosys.2019.05.002
- 32. Garrido M, Rius FX, Larrechi MS. Multivariate curve resolution–alternating least squares (MCR-ALS) applied to spectroscopic data from monitoring chemical reactions processes. Analytical and Bioanalytical Chemistry 2008; 390 (8): 2059-2066. doi: 10.1007/s00216-008-1955-6
- 33. Mohseni N, Bahram M, Olivieri AC. Second-order advantage obtained from standard addition first-order instrumental data and multivariate curve resolution-alternating least squares. Calculation of the feasible bands of results. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2014; 122: 721-730. doi: 10.1016/j.saa.2013.11.073
- 34. Khan E, Wirojanagud W, Sermsai N. Effects of iron type in Fenton reaction on mineralization and biodegradability enhancement of hazardous organic compounds. Journal of Hazardous Materials 2009; 161 (2): 1024-1034. doi: 10.1016/j.jhazmat.2008.04.049
- 35. Garrido-Ramírez EG, Theng BKG, Mora ML. Clays and oxide minerals as catalysts and nanocatalysts in Fentonlike reactions — A review. Applied Clay Science 2010; 47 (3): 182-192. doi: 10.1016/j.clay.2009.11.044
- 36. Khaledian HR, Zolfaghari P, Elhami V, Aghbolaghy M, Khorram S et al. Modification of immobilized titanium dioxide nanostructures by argon plasma for photocatalytic removal of organic dyes. Molecules 2019; 24 (3): 383. doi:
- 37. Sharma S, Kapoor S, Christian RA. Effect of Fenton process on treatment of simulated textile wastewater: optimization using response surface methodology. International Journal of Environmental Science and Technology 2017; 14 (8): 1665-1678. doi: 10.1007/s13762-017-1253-y
- 38. Zolfaghari P, Shojaat R, Karimi A, Saadatjoo N. Application of fluidized bed reactor containing GOx/MnFe2O4/ calcium alginate nano-composite in degradation of a model pollutant. Journal of Environmental Chemical Engineering 2018; 6 (5): 6414-6420. doi: 10.1016/j.jece.2018.09.033
- 39. Aleksić M, Kušić H, Koprivanac N, Leszczynska D, Božić AL. Heterogeneous Fenton type processes for the degradation of organic dye pollutant in water — The application of zeolite assisted AOPs. Desalination 2010; 257 (1): 22-29. doi: 10.1016/j.desal.2010.03.016
- 40. Sun S-P, Zeng X, Lemley AT. Nano-magnetite catalyzed heterogeneous Fenton-like degradation of emerging contaminants carbamazepine and ibuprofen in aqueous suspensions and montmorillonite clay slurries at neutral pH. Journal of Molecular Catalysis A: Chemical 2013; 371: 94-103. doi: 10.1016/j.molcata.2013.01.02
- 41. Mohajeri S, Aziz HA, Isa MH, Zahed MA, Bashir MJK et al. Application of the central composite design for condition optimization for semi-aerobic landfill leachate treatment using electrochemical oxidation. Water Science and Technology 2010; 61 (5): 1257-1266. doi: 10.2166/wst.2010.018
- 42. Maslahati A, Chelliapan S, Wan Mohtar H, Kamyab H. Prediction and optimization of the Fenton process for the treatment of landfill leachate using an artificial neural network. Water 2018; 10. doi: 10.3390/w10050595