Bridging knowledge gaps in human chemical exposure via drinking water with non-target screening
Author(s)
Type
Journal Article
Abstract
Fundamental knowledge gaps still exist in the exposome, especially regarding analytical space coverage, mapping and prioritisation of a very large number of diverse chemical structures. This review focuses on the contributions of suspect and non-target screening (NTS) to contaminants characterisation and toxicity assessment in drinking water. A comprehensive review of publications from 2013-2024 revealed only 172 substances identified with certainty using NTS and in 17 countries. The analytical approaches, their complementarity, effectiveness and use with compound identification frameworks are discussed. The use of ‘intelligent’ tools (including machine learning) to aid with substance identification, prioritisation and toxicity assessment is emerging. Strategies for integration of NTS in epidemiology are also considered, including re-use of existing data. NTS holds great potential for chemical exposure assessment from drinking water and its contribution to the exposome.
Date Issued
2025-02
Date Acceptance
2024-08-16
Citation
Critical Reviews in Environmental Science and Technology, 2025, 55 (3), pp.190-214
ISSN
1064-3389
Publisher
Taylor and Francis Group
Start Page
190
End Page
214
Journal / Book Title
Critical Reviews in Environmental Science and Technology
Volume
55
Issue
3
Copyright Statement
© 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
License URL
Identifier
https://www.tandfonline.com/doi/full/10.1080/10643389.2024.2396690
Publication Status
Published
Date Publish Online
2024-09-01