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In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Hydrophobicity-driven kinetic modeling of sulfamethazine transformation by TiO2/high-silica zeolite composites for
Wanni Zhang1, Youhei Nomura2, Shuji Fukahori3
1Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto-Daigaku-Katsura, Nishikyo-ku, Kyoto 615-8540, Japan.
Abstract:
The environmental risks of sulfamethazine (SMT) and its transformation products during photocatalytic treatment remain poorly understood, particularly regarding their phase-specific behavior and ecotoxicity. To address this, we developed a hydrophobicity-driven kinetic model to simulate the fate of SMT and its intermediates in a TiO2/high-silica zeolite composite system. A novel quantification method was introduced, classifying transformation products into hydrophobic (I1) and hydrophilic (I2) groups based on their adsorption affinity. This allowed phase-specific tracking and kinetic modeling. Hydrophobic intermediates (I1), sharing common structural traits, followed a unified adsorption isotherm and were efficiently retained by the zeolite. Hydrophilic intermediates (I2), more prevalent in later stages, were more persistent due to weaker interactions with the composite and lower reactivity. Notably, decomposition rate constants for both I1 and I2 dropped sharply in the early stages, indicating preferential degradation of more reactive compounds, and later stabilized as less reactive species accumulated. The model incorporated Langmuir-Hinshelwood kinetics to account for competitive interactions in the aqueous phase and aligned well with experimental observations. In combination with the kinetic model, ECOSAR-based ecotoxicity analysis showed that the composite significantly reduced predicted algal toxicity compared to conventional TiO2. This was mainly due to the retention of over 60 % of the more toxic hydrophobic intermediates in the solid phase. These results demonstrate the potential of TiO2/high-silica zeolite composites and underscore the value of hydrophobicity-driven modeling in understanding transformation dynamics and reducing ecotoxicological risks in advanced water treatment.
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