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Per- and polyfluoroalkyl substances (PFAS) in United States tapwater: Comparison of underserved private-well and public-supply exposures and associated health implications.美国自来水中的全氟和多氟烷基物质 (PFAS):服务不足的私人水井和公共供水暴露情况的比较及相关健康影响。
Environ Int. 2023 Aug;178:108033. doi: 10.1016/j.envint.2023.108033. Epub 2023 Jun 17.
2
The use of gas chromatography - high resolution mass spectrometry for suspect screening and non-targeted analysis of per- and polyfluoroalkyl substances.采用气相色谱-高分辨质谱法进行可疑筛查和全氟及多氟烷基物质的非靶向分析。
J Chromatogr A. 2023 Mar 29;1693:463884. doi: 10.1016/j.chroma.2023.463884. Epub 2023 Feb 20.
3
Demonstrating the Use of Non-targeted Analysis for Identification of Unknown Chemicals in Rapid Response Scenarios.展示非靶向分析在快速响应场景中鉴定未知化学品的应用。
Environ Sci Technol. 2023 Feb 28;57(8):3075-3084. doi: 10.1021/acs.est.2c06804. Epub 2023 Feb 16.
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An actionable annotation scoring framework for gas chromatography-high-resolution mass spectrometry.一种用于气相色谱-高分辨率质谱的可操作注释评分框架。
Exposome. 2022 Aug 25;2(1):osac007. doi: 10.1093/exposome/osac007. eCollection 2022.
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Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia.整合外显子组、转录组和表观基因组学分析人类胎盘样本,将研究较少的化学物质与子痫前期联系起来。
Environ Int. 2022 Sep;167:107385. doi: 10.1016/j.envint.2022.107385. Epub 2022 Jun 30.
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Approaches for assessing performance of high-resolution mass spectrometry-based non-targeted analysis methods.基于高分辨率质谱的非靶向分析方法性能评估方法。
Anal Bioanal Chem. 2022 Sep;414(22):6455-6471. doi: 10.1007/s00216-022-04203-3. Epub 2022 Jul 7.
7
Non-target, suspect and target screening of chemicals of emerging concern in landfill leachates and groundwater in Guangzhou, South China.非目标、疑似目标和目标筛查华南广州垃圾渗滤液和地下水中的新兴关注化学物质。
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Per- and polyfluoralkyl substances (PFAS) in drinking water system: Target and non-target screening and removal assessment.饮用水系统中的全氟和多氟烷基物质(PFAS):目标和非目标筛查及去除评估。
Environ Int. 2022 May;163:107219. doi: 10.1016/j.envint.2022.107219. Epub 2022 Mar 30.
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一种使用气相色谱-质谱联用仪(GC-MS)和液相色谱-质谱联用仪(LC-MS)的非靶向分析方法的开发与应用,用于通过使用点过滤器识别饮用水中的化学污染物。

Development and application of a non-targeted analysis method using GC-MS and LC-MS for identifying chemical contaminants in drinking water via point-of-use filters.

作者信息

Sloop John T, Casey Jonathan S, Liberatore Hannah, Chao Alex, Isaacs Kristin K, Newton Seth R

机构信息

Oak Ridge Institute for Science and Education (ORISE) Participant, Research Triangle Park, NC 27711, USA.

Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.

出版信息

Microchem J. 2024 Dec;207. doi: 10.1016/j.microc.2024.112223.

DOI:10.1016/j.microc.2024.112223
PMID:39877062
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11770584/
Abstract

While many chemicals are regulated and routinely monitored in drinking water, they represent just a portion of all contaminants that may be present. Typical drinking water analyses involve sampling one liter or less of water, which could lead to trace level contaminants going undetected. In this study, a method was developed for using point-of-use activated carbon block drinking water filters as sampling devices. The filters were extracted to remove chemicals that were collected, and then analyzed by non-targeted analysis via liquid chromatography and gas chromatography high-resolution mass spectrometry. Extraction efficiencies were assessed by spiking and recovery experiments to better understand the chemical space coverage. To test the method's applicability to real-world samples, filters from a small-scale pilot study were collected from individuals in New York, NY and Atlanta, GA and analyzed. Twenty tentatively identified chemical candidates were confirmed by comparison to chemical standards. Principal components analysis was performed on the full set of filtered chemical features to explore how geographic and temporal differences in samples impact drinking water composition. Product use categories for confirmed chemicals were explored to determine potential sources of contaminants.

摘要

虽然许多化学物质在饮用水中受到监管并定期监测,但它们只是可能存在的所有污染物的一部分。典型的饮用水分析涉及采集一升或更少的水样,这可能导致痕量水平的污染物未被检测到。在本研究中,开发了一种使用终端活性炭块饮用水过滤器作为采样装置的方法。对过滤器进行萃取以去除所收集的化学物质,然后通过液相色谱和气相色谱高分辨率质谱进行非靶向分析。通过加标和回收率实验评估萃取效率,以更好地了解化学空间覆盖范围。为了测试该方法对实际样品的适用性,收集了纽约州纽约市和佐治亚州亚特兰大市小规模试点研究中的过滤器并进行分析。通过与化学标准品比较,确认了20种初步鉴定的化学候选物。对全套过滤后的化学特征进行主成分分析,以探索样品中的地理和时间差异如何影响饮用水成分。对已确认化学物质的产品使用类别进行了探索,以确定污染物的潜在来源。