Photocatalysis of a dye solution using immobilized ZnO nanoparticles combined with photoelectrochemical process

The decolorization of a dye solution containing C.I. Direct Yellow 12 (DY12) was performed by photoelectro-Fenton (PEF) combined with photocatalytic process. Carbon nanotube-polytetrafluoroethylene (CNT-PTFE) electrode was used as cathode. The investigated photocatalyst was ZnO nanoparticles having...

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Bibliographic Details
Published in:Desalination 2011-06, Vol.273 (2), p.453-460
Main Authors: Khataee, A.R., Zarei, M.
Format: Article
Language:English
Subjects:
Applied sciences
Carbon
Carbon nanotube
Catalysis
Catalytic reactions
Chemical engineering
Chemistry
Decoloring
decolorization
desalination
Dyes
electrodes
Exact sciences and technology
General and physical chemistry
glass
Mathematical models
mineralization
nanoparticles
Nanostructure
Neural network
Neural networks
Photocatalysis
Pollution
Reactors
surface area
Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry
TOC
Zinc oxide
Zinc oxide nanoparticles
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Summary:The decolorization of a dye solution containing C.I. Direct Yellow 12 (DY12) was performed by photoelectro-Fenton (PEF) combined with photocatalytic process. Carbon nanotube-polytetrafluoroethylene (CNT-PTFE) electrode was used as cathode. The investigated photocatalyst was ZnO nanoparticles having specific surface area (BET) 32.23 m 2/g, and mean crystal size of 15 nm immobilized on glass plates. A comparison of electro-Fenton (EF), UV/ZnO, PEF and PEF/ZnO processes for decolorization of DY12 solution was performed. Results showed that color removal follows the decreasing order: PEF/ZnO > PEF > EF > UV/ZnO. The influence of the basic operational parameters such as initial pH of the solution, initial dye concentration, applied current, kind of ultraviolet (UV) light and initial Fe 3+ concentration on the decolorization efficiency of DY12 was studied. The mineralization of the dye was investigated by total organic carbon (TOC) measurements that showed 96.7% mineralization of 50 mg/l dye at 6 h using PEF/ZnO process. An artificial neural network (ANN) model was developed to predict the decolorization of DY12 solution. The findings indicated that artificial neural network provided reasonable predictive performance (R 2 = 0.980). ►Dye degradation by photocatalysis combined with photoelectro-Fenton process ►Immobilization of ZnO nanoparticles on glass plates ►Modeling of the treatment process by artificial neural network
ISSN:0011-9164
1873-4464
DOI:10.1016/j.desal.2011.01.066