桥接(联网)
环境科学
环境化学
纳米技术
化学
材料科学
计算机科学
计算机网络
作者
Davide Ciccarelli,Saer Samanipour,Helena Rapp-Wright,Stefan Bieber,Thomas Letzel,Jake O’Brien,Tim Marczylo,Timothy W. Gant,Paolo Vineis,Leon Barron
标识
DOI:10.1080/10643389.2024.2396690
摘要
Fundamental knowledge gaps still exist in the exposome, especially regarding analytical space coverage, mapping and prioritization of a very large number of diverse chemical structures. This review focuses on the contributions of suspect and non-target screening (NTS) to contaminants characterization 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, prioritization 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.
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