Artificial neural networks, optimization and kinetic modeling of amoxicillin degradation in photo-fenton process using aluminum pillared montmorillonite-supported ferrioxalate catalyst

Industrial and Engineering Chemistry Research

Volumn 51, Issue 50, 2012, Pages 16311-16319

  Ayodele, O B ^a,c   Auta, H S ^b   Md Nor, N ^a  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

^b FEDERAL UNIVERSITY OF TECHNOLOGY   (Nigeria)

^c UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

AMOXICILLIN; CATALYTIC DEGRADATION; DEGRADATION TIME; FERRIOXALATE; HETEROGENEOUS PHOTO-FENTON; KINETIC MODELING; OPTIMIZATION STUDIES; OPTIMUM CONDITIONS; PHOTO-FENTON PROCESS; PROCESS VARIABLES;

ALUMINUM; CLAY MINERALS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; RATE CONSTANTS;

CATALYSTS;

EID: 84871324478     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie302390b     Document Type: Article

References (29)

1. Bound, J. P.; Voulvoulis, N. Predicted and measured concentrations for selected pharmaceuticals in UK rivers: Implications for risk assessment Water Res. 2006, 40, 2885
2. Rozas, O.; Contrerasa, D.; Mondaca, M. A.; Perez-Moyac, M.; Mansilla, H. D. Experimental design of Fenton and photo-Fenton reactions for the treatment of ampicillin solutions J. Hazard. Mater. 2010, 177, 1025
3. Elmolla, E. S.; Chaudhuri, M.; Eltoukhy, M. M. The use of artificial neural network (ANN) for modeling of COD removal from antibiotic aqueous solution by the Fenton process J. Hazard. Mater. 2010, 179, 127
4. Ayodele, O. B.; Lim, J. K.; Hameed, B. H. Degradation of phenol in photo-Fenton process by phosphoric acid modified kaolin supported ferric-oxalate catalyst Chem. Eng. J. 2012, 197, 181
5. Trovo, A. G.; Melo, A. S. S.; Nogueira, R. F. P. Photodegradation of the pharmaceuticals amoxicillin, bezafibrate and paracetamol by the photo-Fenton process-Application to sewage treatment plant effluent J. Photochem. Photobiol. A: Chem. 2008, 198, 215
6. Trovó, A. G.; Nogueira, R. F. P.; Aguera, A.; Fernandez-Alba, A. R.; Malato, S. Degradation of the antibiotic amoxicillin by photo-Fenton process-Chemical and toxicological assessment Water Res. 2011, 45, 1394
7. Dopar, M.; Kusic, H.; Koprivanac, N. Treatment of simulated industrial wastewater by photo-Fenton process. Part I: The optimization of process parameters using design of experiments (DOE). Chem. Eng. J. doi: 10.1016/j.cej.2010.09.070.
8. Malato, S.; Fernandez-Ibanez, P.; Maldonado, M. I.; Blanco, J.; Gernjak, W. Decontamination and disinfection of water by solar photocatalysis: Recent overview and trends Catal. Today. 2009, 147, 1
9. Kasiri, M. B.; Aleboyeh, H.; Aleboyeh, A. Modeling and optimization of heterogeneous photo-fenton process with response surface methodology and artificial neural networks Environ. Sci. Technol. 2008, 42, 7970
10. Wu, Y.; Zhou, S.; Qin, F.; Zheng, K.; Ye, X. Modeling the oxidation kinetics of Fenton's process on the degradation of humic acid J. Hazard. Mater. 2010, 179, 533
11. Montogomery, D. C. Design and Analysis of Experiments; John Wiley and Sons: New York, 2005.
12. Myer, R. H.; Montogomery, D. C. Response Surface Methodology: Process and Product Optimization using Designed Experiment, 2 nd ed.; John Wiley and Sons: New York, 2002.
13. Moral, H.; Aksoy, A.; Gokcay, C. F. Modeling of the activated sludge process by using artificial neural networks with automated architecture screening Comput. Chem. Eng. 2008, 32, 2471
14. Daneshvar, N.; Khataee, A. R.; Djafarzadeh, N. The use of artificial neural networks (ANN) for modeling of decolorization of textile dye solution containing C. I. Basic Yellow 28 by electrocoagulation process J. Hazard. Mater. 2006, B137, 1788
15. 2 using artificial neural networks Dyes Pigm. 2008, 77, 288
16. Oguza, E.; Tortum, A.; Keskinler, B. Determination of the apparent rate constants of the degradation of humic substances by ozonation and modeling of the removal of humic substances from the aqueous solutions with neural network J. Hazard. Mater. 2008, 157, 455
17. Ayodele, O. B.; Lim, J. K.; Hameed, B. H. Pillared montmorillonite supported ferric oxalate as heterogeneous photo-Fenton catalyst for degradation of amoxicillin Appl. Catal., A 2012, 413- 414, 301
18. Katsumata, H.; Okada, T.; Kaneco, S.; Suzuki, T.; Ohta, K. Degradation of fenitrothion by ultrasound/ferrioxalate/UV system Ultrason. Sonochem. 2010, 17, 200
19. Bautitz, I. R.; Pupo Nogueira, R. F. Photodegradation of lincomycin and diazepam in sewage treatment plant effluent by photo-Fenton process Catal. Today. 2010, 151, 94
20. 2/UV decoloration process: part I Dyes Pigm. 1999, 42, 123
21. Multifactor RSM Tutorial (Part 2-Optimization). Design-Expert 8 User's Guide, version 7.1.5; Stat Ease: Minneapolis, MN, 2008.
22. Yetilmezsoy, K.; Demirel, S.; Vanderbei, R. J. Response surface modeling of Pb(II) removal from aqueous solution by Pistacia vera L.: Box-Behnken experimental design J. Hazard. Mater. 2009, 171, 551
23. Diya'uddeen, B. H.; Abdul-Aziz, A. R.; Daud, W. M. A. Oxidative mineralization of petroleum refinery effluent using Fenton-like process., Chem. Eng. Res. Des. 10.1016/j.cherd.2011.06.010.
24. Daud, N. K.; Hameed, B. H. Fenton-like oxidation of reactive Black 5 solution using iron Montmorillonite K10 catalyst J. Hazard. Mater. 2010, 176, 1118
25. Wu, F.; Li, J.; Peng, Z. E.; Deng, N. Photochemical formation of hydroxyl radicals catalyzed by montmorillonite Chemosphere. 2008, 72, 407
26. De León, M. A.; Castiglionia, J.; Bussi, J.; Sergio, M. Catalytic activity of an iron-pillared montmorillonitic clay mineral in heterogeneous photo-Fenton process Catal. Today. 2008, 133-135, 600
27. Daud, N. K.; Hameed, B. H. Decolorization of Acid Red 1 dye solution by Fenton-like process using Fe-Montmorillonite K10 catalyst Chem. Eng. J. 2010, 165, 111
28. Liu, X. D.; Lu, X. C. A thermodynamic understanding of clay-swelling inhibition by potassium ions Angew. Chem., Int. Ed. 2006, 45 (38) 6300
29. Neyens, E.; Baeyens, J. A review of classic Fenton's peroxidation as an advanced oxidation technique J. Hazard. Mater. 2003, 98, 33-50