Fall Creek Monitoring Station: Highly Resolved Temporal Sampling to Prioritize the Identification of Nontarget Micropollutants in a Small Stream
Fall Creek Monitoring Station: Highly Resolved Temporal Sampling to Prioritize the Identification of Nontarget Micropollutants in a Small Stream
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DOI：
10.1021/acs.est.8b05320
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发表时间：
2019-01-01
影响因子：
11.4
通讯作者：
Helbling, Damian E.
中科院分区：
文献类型：
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作者：
Carpenter, Corey M. G.;Wong, Lok Yee J.;Helbling, Damian E.
本研究的目标是全面表征目标和非目标微污染物在一个小的流的发生和时间动态。我们于2017年3月建立了福尔克里克监测站，并在一年内每天收集复合样品。我们测量水样通过高分辨率质谱仪和开发和优化后采集数据处理工作流程，筛选162个目标微污染物和组的所有质谱（MS）功能到时间配置文件。我们使用层次聚类分析，优先考虑非目标MS功能的基础上，他们的相似性，目标微污染物的配置文件，并开发了一个高通量的管道，以阐明优先的非目标MS功能的结构。我们的分析导致了31个目标微污染物和59个非目标微污染物的识别与不同程度的信心。90个确定的微污染物的时间剖面显示意想不到的浓度排放关系，取决于微污染物的来源和流域的水文特征。一些非目标微污染物以前没有报道过，包括药物代谢物，橡胶硫化促进剂，增塑剂和阻燃剂。我们的数据提供了新的见解，在小溪流中的微污染物发生的时间动态。此外，我们的非目标分析方法是一般的，并不限于高分辨率的时间数据采集或从地表水系统收集的样本。
The goal of this research was to comprehensively characterize the occurrence and temporal dynamics of target and nontarget micropollutants in a small stream. We established the Fall Creek Monitoring Station in March 2017 and collected daily composite samples for one year. We measured water samples by means of high-resolution mass spectrometry and developed and optimized a postacquisition data processing workflow to screen for 162 target micro-pollutants and group all mass spectral (MS) features into temporal profiles. We used hierarchical clustering analysis to prioritize nontarget MS features based their similarity to target micropollutant profiles and developed a high-throughput pipeline to elucidate the structures of prioritized nontarget MS features. Our analyses resulted in the identification of 31 target micropollutants and 59 nontarget micropollutants with varying levels of confidence. Temporal profiles of the 90 identified micropollutants revealed unexpected concentration-discharge relationships that depended on the source of the micropollutant and hydrological features of the watershed. Several of the nontarget micropollutants have not been previously reported including pharmaceutical metabolites, rubber vulcanization accelerators, plasticizers, and flame retardants. Our data provide novel insights on the temporal dynamics of micropollutant occurrence in small streams. Further, our approach to nontarget analysis is general and not restricted to highly resolved temporal data acquisitions or samples collected from surface water systems.