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Kinetic Study of Non-Biodegradable Pollutant Degradation Process Using Improved Photocatalyst Based on Cerium
Agahalam, Mohammad Erfan | 2024
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 57810 (06)
- University: Sharif University of Technology
- Department: Chemical and Petroleum Engineering
- Advisor(s): Hamzehlouyan, Tayebeh; Ghasemi, Shahnaz
- Abstract:
- Incomplete treatment of industrial wastewater, particularly in the textile industry, leads to the release of persistent pollutants such as dyes and heavy metals into water sources, which can harm the environment and cause diseases like cancer. Traditional treatment methods cannot fully remove these pollutants. Advanced oxidation processes (AOPs), by generating hydroxyl radicals, degrade these pollutants rapidly and effectively. In this study, a composite semiconductor material comprising bismuth vanadate, graphitic carbon nitride, and cerium vanadate was synthesized. This material was produced through two sequential hydrothermal processes, and its structural composition and surface morphology were evaluated using characterization techniques such as SEM, XRD, and DRS. Subsequently, to enhance the optical and absorption properties of these semiconductors, sunlight was utilized as a free energy source, and charge carrier recombination was reduced. Surface engineering of the photocatalyst, focusing on morphology and structural optimization, was performed. The optimized photocatalyst was used in powder form in a photocatalytic reactor designed to treat a sample of textile wastewater. After evaluating the performance of pure photocatalysts and binary composites with varying mass percentages of graphitic carbon nitride, as well as ternary composites with different mass percentages of cerium vanadate, the BiVO4 – gC3N4 30% – CeVO4 3% sample, with a concentration of 200 ppm, emerged as the most effective. It removed nearly 80% of the colored wastewater containing Acid Blue dye at a concentration of 20 ppm. Additionally, the kinetic study of the process revealed that pollutant removal follows a first-order relationship based on an extended Langmuir-Hinshelwood model. Kinetic parameters were also examined under varying light intensities, showing a linear relationship between adsorption constants, reaction rates, and the inverse square root of light power
- Keywords:
- Advanced Oxidation Process ; Bismuth Vanadate ; Graphitic Carbon Nitride ; Acid-Blue 92 ; Cerium Vanadate ; Pollution Removal ; Industrial Emissions
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