Department of Civil and Environmental Engineering, Syracuse University, 151 Link Hall, Syracuse, New York 13244, United States.
Department of Earth and Environmental Sciences, Syracuse University, 204 Heroy Geology Laboratory, Syracuse, New York 13244, United States.
Environ Sci Technol. 2022 Dec 6;56(23):16726-16736. doi: 10.1021/acs.est.2c02938. Epub 2022 Nov 4.
Organic micropollutants (OMPs) represent an anthropogenic stressor on stream ecosystems. In this work, we combined passive sampling with suspect and nontarget screening enabled by liquid chromatography-high-resolution mass spectrometry to characterize complex mixtures of OMPs in streams draining mixed-use watersheds. Suspect screening identified 122 unique OMPs for target quantification in polar organic chemical integrative samplers (POCIS) and grab samples collected from 20 stream sites in upstate New York over two sampling seasons. Hierarchical clustering established the co-occurrence profiles of OMPs in connection with watershed attributes indicative of anthropogenic influences. Nontarget screening leveraging the time-integrative nature of POCIS and the cross-site variability in watershed attributes prioritized and confirmed 11 additional compounds that were ubiquitously present in monitored streams. Field sampling rates for 37 OMPs that simultaneously occurred in POCIS and grab samples spanned the range of 0.02 to 0.22 L/d with a median value of 0.07 L/d. Comparative analyses of the daily average loads, cumulative exposure-activity ratios, and multi-substance potentially affected fractions supported the feasibility of complementing grab sampling with POCIS for OMP load estimation and screening-level risk assessments. Overall, this work demonstrated a multi-watershed sampling and screening approach that can be adapted to assess OMP contamination in streams across landscapes.
有机微污染物(OMPs)是对溪流生态系统的人为压力源。在这项工作中,我们结合使用被动采样和基于液相色谱-高分辨率质谱的可疑物和非靶标筛查,以描述从纽约州北部 20 个溪流站点采集的混合用途流域的溪流中复杂的 OMPs 混合物。可疑物筛查确定了 122 种独特的 OMPs,用于在极性有机化学综合采样器(POCIS)和Grab 采样中进行目标定量,这两种采样在两个采样季节中进行。层次聚类根据与指示人为影响的流域属性相关的 OMPs 的共同出现特征建立了关联。利用 POCIS 的时间综合性质和流域属性的跨站点变异性进行的非靶标筛查确定并确认了 11 种额外的普遍存在于监测溪流中的化合物。同时存在于 POCIS 和 Grab 采样中的 37 种 OMP 的现场采样速率范围为 0.02 至 0.22 L/d,中位数为 0.07 L/d。对 POCIS 和 Grab 采样同时采集的每日平均负荷、累积暴露-活性比和多物质潜在影响分数的比较分析支持了用 POCIS 补充 Grab 采样进行 OMP 负荷估计和筛查水平风险评估的可行性。总体而言,这项工作展示了一种多流域采样和筛查方法,可用于评估景观中溪流的 OMP 污染情况。