Document Type : Original Research Article
Authors
1 Department of Chemistry, Payame Noor University, PO box 19395-3697, Tehran, Iran
2 Department of Environment and Natural Resources, Payame Noor University, P.O. Box 19395-3697 Tehran, Iran
Abstract
In this work, TiO2-graphene/chitosan nanocomposite with high photocatalytic activity was successfully synthesized and characterized by various analyses such as XRD, TEM, SEM, EDX and DRS. The photocatalytic activity was tested vs. removal of methyl red as ananionic dye under black light radiation. Based on the results, TiO2-graphene/chitosan nanocomposite could effectively remove methyl red, and demonstrate an excellent photocatalytic enhancement over TiO2 and TiO2-graphene samples. The degradation reaction fit well to a Langmuir-Hinshelwood kinetic model implying that the reaction rate is depended on the initial adsorption step. An artificial neural network (ANN) comprising four input variables (TiO2-graphene/chitosan dosage, initial dye concentration, reaction time and temperature of the solution), eight neurons and an output variable (Removal efficiency %) was optimized, tested and validated for methyl red degradation by the prepared TiO2-graphene/chitosan nanocomposite. The results showed that the predicted data from the designed ANN model are in good agreement with the experimental data with a correlation coefficient (R2) of 0.9831. Based on the results, reaction time is the most influential variable and the temperature of solution is the less influential parameter in the removal efficiency of methyl red.
Graphical Abstract
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Keywords
- TiO2-graphene/chitosan nanocomposite Photocatalytic activity
- Anionic dye
- Artificial neural network
- Removal efficiency
Main Subjects
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