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Title
Visible-light photocatalytic activity of chitosan/polyaniline/CdS nanocomposite: Kinetic studies and artificial neural network modeling
Type of Research Article
Keywords
Photocatalyst; Nanocomposite; Kinetics; Artificial neural networks; Product identification
Abstract
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.
Researchers Mohammad Hosein Rasoulifard (First Researcher)، Mir Saeed Seyed Dorraji (Second Researcher)، Ali Reza Amani-Ghadim (Third Researcher)، Nasim Keshavarz-babaeinezhad (Fourth Researcher)