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首页> 外文期刊>Environmental toxicology and chemistry >Per-and Polyfluoroalkyl Substances (PFAS) in Surface Water Near US Air Force Bases: Prioritizing Individual Chemicals and Mixtures for Toxicity Testing and Risk Assessment
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Per-and Polyfluoroalkyl Substances (PFAS) in Surface Water Near US Air Force Bases: Prioritizing Individual Chemicals and Mixtures for Toxicity Testing and Risk Assessment

机译:美国空军基地附近地表水处的每氟氟烷基物质(PFA):优先排序单独的化学品和混合物进行毒性测试和风险评估

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摘要

Per- and polyfluoroalkyl substances (PFAS) are a large class of persistent chemicals used for decades in industrial and commercial applications. A key challenge with regard to estimating potential risk to ecological (and human) receptors associated with PFAS exposure lies in the fact that there are many different PFAS compounds and several to many can co-occur in any given environmental sample. We applied a data science approach to characterize and prioritize PFAS and PFAS mixtures from a large dataset of PFAS measurements in surface waters associated with US Air Force Installations with a history of the use of aqueous film-forming foams (AFFFs). Several iterations of stakeholder feedback culminated in a few main points that advanced our understanding of a complex dataset and the larger ecotoxicological problem. First, perfluorooctane sulfonate (PFOS) was often a dominant PFAS in a given surface water sample, frequently followed by perfluorohexane sulfonate (PFHxS). Second, a 4-chemical mixture generally accounted for 80% of the sum of all routinely reported PFAS in a sample, and the most representative 4-chemical mixture was composed of PFOS, PFHxS, perfluorohexanoic acid (PFHxA), and perfluorooctanoic acid (PFOA). We suggest that these results demonstrate the utility of formalized data science analysis and assessment frameworks to address complex ecotoxicological problems. Specifically, our example dataset results can be used to provide perspective on toxicity testing, ecological risk assessments, and field studies of PFAS in and around AFFF-impacted sites. Environ Toxicol Chem 2020;00:1-12. (c) 2020 SETAC
机译:(PFlOoroHalkyl物质(PFAs)是几十年工业和商业应用的一大类持久化学品。关于估计与PFA暴露的生态(和人)受体的潜在风险的关键挑战在于存在许多不同的PFAS化合物,并且在任何给定的环境样品中可以共发生几种不同的PFAS化合物。我们应用了数据科学方法来表征和优先考虑PFAS和PFAS混合物的PFAS测量的大型数据集,与美国空气力装置相关的表面水线,其具有使用含水成膜泡沫(AFFFS)的历史。利益相关者反馈的几次迭代在一些主要观点中高估了我们对复杂数据集的理解和更大的生态毒理学问题。首先,全氟辛烷磺酸盐(PFOS)通常是给定的表面水样中的主要PFA,通常是全氟己烷磺酸盐(PFHX)。其次,一般占样品中所有经常报告的PFA的80%的4-化学混合物,并且最具代表性的4-化学混合物由PFOS,PFHX,全氟己酸(PFHXA)和全氟辛酸( PFOA)。我们建议这些结果表明了形式化数据科学分析和评估框架的效用,以解决复杂的生态毒理学问题。具体而言,我们的示例数据集结果可用于提供关于助攻场所和周围PFA的毒性测试,生态风险评估和实地研究的透视。环境毒素化学2020; 00:1-12。 (c)2020 Setac

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