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Visible-light photocatalytic activity of chitosan/polyaniline/CdS nanocomposite: Kinetic studies and artificial neural network modeling

Paper ID Volume ID Publish Year Pages File Format Full-Text
38942 45798 2016 11 PDF Available
Title
Visible-light photocatalytic activity of chitosan/polyaniline/CdS nanocomposite: Kinetic studies and artificial neural network modeling
Abstract

•Removal of an organic matter on CS/PAni/CdS nanocomposite was modeled.•New kinetic model was established based on adsorption and surface photocatalytic degradation.•A 3-layer network with optimized 5:10:1 topology could provide adequate predictive performance.

Chitosan/polyaniline (CS/PAni), chitosan/CdS (CS/CdS) and chitosan/polyaniline/CdS nanocomposite were synthesized and characterized using X-ray diffraction pattern analysis, FT-IR spectroscopy and scanning electronic microscopy. The adsorption performance and photocatalytic activity of CS/PAni/CdS was compared with CS/PAni and CS/CdS in the removal of Reactive Blue 19 (RB19) dye. After five cycles of experiments under visible light irradiation, CS/PAni/CdS retained high photocatalytic activity which confirmed good stability of nanocomposite. Moreover, the kinetics of decolorization was investigated and novel equation rate for dye removal was established by considering two parallel mechanisms including adsorption and surface photocatalytic degradation of dye by CS/PAni/CdS. Artificial neural network was employed to develop a model for predicting the decolorization efficiency and determining the relative importance of operational parameters. A 3-layer perceptron network with optimized 5:10:1 topology could provide adequate predictive performance (R2 = 0.983). Moreover, the photocatalytic degradation of RB19 was monitored by measuring the total organic carbon (TOC) and GC–MS analysis, enabling the evaluating the mineralization and identifying the intermediates. During 120 min of experiment, more than 80% of TOC was removed.

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Keywords
Photocatalyst; Nanocomposite; Kinetics; Artificial neural networks; Product identification
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Publisher
Database: Elsevier - ScienceDirect
Journal: Applied Catalysis A: General - Volume 514, 25 March 2016, Pages 60–70
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Catalysis
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us