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美国地区降水事件中全氟烷基物质的相关性分析。

Correlation Analysis of Perfluoroalkyl Substances in Regional U.S. Precipitation Events.

机构信息

Department of Chemistry, College of Wooster, 943 College Mall, Wooster, Ohio 44691, United States; Department of Mathematical and Computational Sciences, College of Wooster, 308 E. University, Wooster, Ohio 44691, United States.

Department of Chemistry, College of Wooster, 943 College Mall, Wooster, Ohio 44691, United States.

出版信息

Water Res. 2021 Feb 15;190:116685. doi: 10.1016/j.watres.2020.116685. Epub 2020 Nov 28.

DOI:10.1016/j.watres.2020.116685
PMID:33279752
Abstract

Per- and polyfluoroalkyl substances (PFAS) are transported in the atmosphere, leading to both wet and dry deposition to the surface. The concentrations of 15 PFAS were measured at six locations in the Ohio-Indiana region of the U.S. during the summer of 2019 and compared to samples collected at a distant site in NW Wyoming. ΣPFAS concentrations ranged from 50-850 ng L, with trifluoroacetic acid (TFA) being the dominant compound (~90%). Concentrations of perfluorooctanoic acid (PFOA) and perfluorosulfonic acid (PFOS) were similar to amounts observed over the past 20 years, indicating persistence in the atmosphere despite regulatory action, and the newer species HFPO-DA (GenX) was also widely detected in rainwater. ANOVA modeling and correlation matrices were used to determine association of PFAS concentrations, location, and functional group and chain length. Statistically significant differences (p < 0.05) in PFAS profiles across sites separated by 10-100 km indicate that local point sources strongly contribute to wet deposition. This work introduces correlation plots for PFAS that allow rapid visual comparison of multi-analyte and multi-site data sets.

摘要

全氟和多氟烷基物质 (PFAS) 会在大气中传输,导致其通过湿沉降和干沉降两种形式到达地表。2019 年夏季,研究人员在美国印第安纳州俄亥俄州地区的六个地点测量了 15 种 PFAS 的浓度,并与怀俄明州西北部一个遥远地点采集的样本进行了比较。ΣPFAS 浓度范围为 50-850ng/L,三氟乙酸(TFA)是主要化合物(~90%)。全氟辛酸(PFOA)和全氟磺酸(PFOS)的浓度与过去 20 年观察到的数量相似,表明尽管采取了监管措施,但它们在大气中仍然存在持久性,新型物质 HFPO-DA(GenX)也在雨水 中广泛检出。方差分析模型和相关矩阵用于确定 PFAS 浓度、位置、功能基团和链长之间的关联。相隔 10-100km 的地点之间的 PFAS 图谱存在统计学上显著差异(p<0.05),这表明局部点源对湿沉降有很大贡献。这项工作引入了 PFAS 的相关图,可以快速直观地比较多分析物和多地点数据集。

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