Razzaghi, M. and Karimi, A. and Ansari, Z. and 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. pp. 1-14.
Full text not available from this repository.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
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 0 |
| Uncontrolled Keywords: | Biocatalysts; Crosslinking; Efficiency; Enzymes; Genetic algorithms; Glucose; Glucose oxidase; Glucose sensors; Neural networks; Phenols; Sensitivity analysis; Solutions; Wastewater treatment, Artificial neural network simulation; Cross linking agents; Effect of parameters; Genetic algorithms optimizations; Glucose concentration; Glucose oxidases (GOx); Horseradish peroxidase; Removal efficiencies, Chemicals removal (water treatment) |
| Subjects: | WL Nervous System QV Pharmacology |
| Depositing User: | eprints admin |
| Date Deposited: | 24 Dec 2018 07:39 |
| Last Modified: | 24 Dec 2018 07:39 |
| URI: | http://eprints.iums.ac.ir/id/eprint/6332 |
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