Chibwe Leah, Titaley Ivan A, Hoh Eunha, Massey Simonich Staci L
Department of Chemistry, Oregon State University, Corvallis, OR, 97331, USA.
Graduate School of Public Health, San Diego State University, San Diego, CA, 92182, USA.
Environ Sci Technol Lett. 2017 Feb 14;4(2):32-43. doi: 10.1021/acs.estlett.6b00455. Epub 2017 Jan 4.
Complex environmental mixtures consist of hundreds to thousands of unknown and unregulated organic compounds that may have toxicological relevance, including transformation products (TPs) of anthropogenic organic pollutants. Non-targeted analysis and suspect screening analysis offer analytical approaches for potentially identifying these toxic transformation products. However, additional tools and strategies are needed in order to reduce the number of chemicals of interest and focus analytical efforts on chemicals that may pose risks to humans and the environment. This brief review highlights recent developments in this field and suggests an integrated framework that incorporates complementary instrumental techniques, computational chemistry, and toxicity analysis, for prioritizing and identifying toxic TPs in the environment.
复杂环境混合物由数百至数千种未知且未受监管的有机化合物组成,这些化合物可能具有毒理学相关性,包括人为有机污染物的转化产物(TPs)。非靶向分析和可疑物筛查分析为潜在识别这些有毒转化产物提供了分析方法。然而,需要额外的工具和策略来减少感兴趣的化学物质数量,并将分析工作集中在可能对人类和环境构成风险的化学物质上。本简要综述强调了该领域的最新进展,并提出了一个综合框架,该框架整合了互补的仪器技术、计算化学和毒性分析,用于对环境中的有毒TPs进行优先级排序和识别。