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Can AI Help Improve Water Quality? Towards the Prediction of Degradation of Micropollutants in Wastewater


Satoh, Hiroko; Hafner, Jasmin; Hutter, Jürg; Fenner, Kathrin (2023). Can AI Help Improve Water Quality? Towards the Prediction of Degradation of Micropollutants in Wastewater. Chimia, 77(1/2):48.

Abstract

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.

Abstract

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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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Chemistry
Dewey Decimal Classification:540 Chemistry
Scopus Subject Areas:Physical Sciences > General Chemistry
Uncontrolled Keywords:General Medicine, General Chemistry
Language:English
Date:22 February 2023
Deposited On:15 Dec 2023 11:50
Last Modified:29 Jun 2024 01:38
Publisher:Swiss Chemical Society
ISSN:0009-4293
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.2533/chimia.2023.48
PubMed ID:38047853
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)