Can AI Help Improve Water Quality? Towards the Prediction of Degradation of Micropollutants in Wastewater
Keywords:Cheminformatics, Degradation of micropollutants in wastewater, Quantitative structure-biodegradation relationships (QSBR), Quantum chemistry (QC)
Micropollutants have become a serious environmental problem by threatening ecosystems and the quality of drinking water. This account investigates if advanced AI can be used to find solutions for this problem. We review background, the challenges involved, and the current state-of-the-art of quantitative structure-biodegradation relationships (QSBR). We report on recent progress combining experiment, quantum chemistry (QC) and chemoinformatics, and provide a perspective on potential future uses of AI technology to help improve water quality.
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Copyright (c) 2023 Hiroko Satoh, Jasmin Hafner, Jürg Hutter, Kathrin Fenner
This work is licensed under a Creative Commons Attribution 4.0 International License.