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Modeling of photocatalyatic process on synthesized ZnO nanoparticles: Kinetic model development and artificial neural networks

Paper ID Volume ID Publish Year Pages File Format Full-Text
44907 46375 2015 8 PDF Available
Title
Modeling of photocatalyatic process on synthesized ZnO nanoparticles: Kinetic model development and artificial neural networks
Abstract

•Photocatalytic degradation of an organic matter on ZnO nanoparticles was modeled.•New kinetic model was established based on the elementary photocatalytic reactions.•High concentration of photoinduced electron-hole was considered in kinetic model.•Kinetic model was compared with 3-layer perceptron neural network model.

The kinetic modeling of organic pollutant photocatalytic degradation on synthesized ZnO nanoparticles was carried out. The photodegradation kinetic characteristics were investigated under different operational parameters including light intensity, initial organic concentration, ZnO content and pH. Based on the elementary photocatalytic reactions, the new kinetic model was established for prediction of photocatalytic degradation efficiency by taking into account the apparent first order rate constant, light intensity, initial organic concentration and ZnO content. The results demonstrated that the kinetic model could predict adequately photodegradation efficiency when high concentration of photo-induced hole-electron was considered. To compare the accuracy of obtained kinetic model, an empirical kinetic model as function of operational parameters and a 3-layer perceptron neural network were developed. The performance of three models was compared with experimental data by error functions and analysis of variance (ANOVA) calculation. The obtained results showed that three developed models are in good agreement with experimental data. It was also found that there is no significant difference among the developed kinetic, empirical kinetic and artificial neural network models. It was concluded that the kinetic model is developed based on the appropriate understanding from determining elementary reactions occurred in photocatalytic degradation of dye.

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Keywords
Photocatalyst; Elementary photocatalytic reactions; Electron-hole; Recombination; ANN
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Modeling of photocatalyatic process on synthesized ZnO nanoparticles: Kinetic model development and artificial neural networks
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Publisher
Database: Elsevier - ScienceDirect
Journal: Applied Catalysis B: Environmental - Volume 163, February 2015, Pages 539–546
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Catalysis
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Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
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Full-text PDF Download
Online Support
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