AIMC Topic: Sulfamethoxazole

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Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach.

Chemosphere Apr 7, 2024
Antibiotics, as a class of environmental pollutants, pose a significant challenge due to their persistent nature and resistance to easy degradation. This study delves into modeling and optimizing conventional Fenton degradation of antibiotic sulfamet...
Neural Networks, Computer Artificial Intelligence Anti-Bacterial Agents Temperature Hydrogen Peroxide Water Pollutants, Chemical Iron Hydrogen-Ion Concentration Sulfamethoxazole
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Membrane separation of antibiotics predicted with the back propagation neural network.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Apr 18, 2023
Antibiotics and antibiotic resistance genes (ARGs) have been frequently detected in the aquatic environment and are regarded as emerging pollutants. The prediction models for the removal effect of four target antibiotics by membrane separation techno...
Neural Networks, Computer Anti-Bacterial Agents Models, Chemical Tetracycline Sulfamethoxazole
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Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study.

Chemosphere Mar 6, 2021
This study explores the boosted regression trees (BRT), artificial neural network (ANN) and response surface methodology (RSM) to model and optimize the operational variables for the simulation of the Photolytic degradation of Sulfamethoxazole (SMX) ...
Neural Networks, Computer Computer Simulation Temperature Photolysis Sulfamethoxazole
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