Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization

Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization Publisher

Razzaghi M¹ ; Karimi A^{1, 2} ; Ansari Z¹ ; Aghdasinia H¹

Show Affiliations

1. Faculty of Chemical and Petroleum Engineering, Department of Chemical Engineering, University of Tabriz, Tabriz, Iran
2. Faculty of Advanced Technologies in Medicine, Department of Biotechnology, Iran University of Medical Sciences, Tehran, Iran

Source: Journal of the Taiwan Institute of Chemical Engineers Published:2018

Abstract

In this study, horseradish peroxidase (HRP) and glucose oxidase (GOx) were immobilized on mesoporous ZSM-5 nanoparticles by using glutaraldehyde as cross linking agent, and the prepared biocatalyst was characterized using SEM and EDAX mapping analysis. The resulted HRP/GOx/ZSM-5 biocatalyst was used for phenol removal from aqueous solution. In order to prevent the deactivation of HRP in the presence of excess H2O2, required H2O2 was produced by GOx in situ to activate HRP, which led to an increase in removal efficiency of phenol about 30%. Investigations on the removal efficiency of phenol for both immobilized and free enzymes indicated that immobilized enzymes have higher activity and less sensitivity to pH variation compared with free ones. In addition, the effect of parameters such as temperature, pH, HRP/GOx ratio, phenol and glucose concentration on the removal efficiency of phenol was investigated. Finally, an artificial neural network (ANN) was developed to model and express the relationship between removal efficiency of phenol and aforementioned parameters. The optimized values of parameters were determined by optimizing the resulted ANN model using genetic algorithm (GA). © 2018 Taiwan Institute of Chemical Engineers

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Style	Citing Format
MLA	Razzaghi M, et al.. "Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization." Journal of the Taiwan Institute of Chemical Engineers, vol. 89, no. , 2018, pp. 1-14.
APA	Razzaghi M, Karimi A, Ansari Z, Aghdasinia H (2018). Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization. Journal of the Taiwan Institute of Chemical Engineers, 89(), 1-14.
Chicago	Razzaghi M, Karimi A, Ansari Z, Aghdasinia H. "Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization." Journal of the Taiwan Institute of Chemical Engineers 89, no. (2018): 1-14.
Harvard	Razzaghi M et al. (2018) 'Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization', Journal of the Taiwan Institute of Chemical Engineers, 89(), pp. 1-14.
Vancouver	Razzaghi M, Karimi A, Ansari Z, Aghdasinia H. Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization. Journal of the Taiwan Institute of Chemical Engineers. 2018;89():1-14.
BibTex	@article{ author = {Razzaghi M and Karimi A and Ansari Z and Aghdasinia H}, title = {Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization}, journal = {Journal of the Taiwan Institute of Chemical Engineers}, volume = {89}, number = {}, pages = {1-14}, year = {2018} }
RIS	TY - JOUR AU - Razzaghi M AU - Karimi A AU - Ansari Z AU - Aghdasinia H TI - Phenol Removal by Hrp/Gox/Zsm-5 From Aqueous Solution: Artificial Neural Network Simulation and Genetic Algorithms Optimization JO - Journal of the Taiwan Institute of Chemical Engineers VL - 89 IS - SP - 1 EP - 14 PY - 2018 ER -

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