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利用液相色谱-高分辨质谱非靶向筛查数据在湖泊沉积物中记录的统计分析来揭示人类世的污染物。

Unravelling Contaminants in the Anthropocene Using Statistical Analysis of Liquid Chromatography-High-Resolution Mass Spectrometry Nontarget Screening Data Recorded in Lake Sediments.

机构信息

Swiss Federal Institute of Aquatic Science and Technology (Eawag) , CH-8600 Dübendorf, Switzerland.

Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich , 8092 Zurich, Switzerland.

出版信息

Environ Sci Technol. 2017 Nov 7;51(21):12547-12556. doi: 10.1021/acs.est.7b03357. Epub 2017 Oct 25.

DOI:10.1021/acs.est.7b03357
PMID:29067807
Abstract

The significant increase in traces of human activity in the environment worldwide provides evidence of the beginning of a new geological era, informally named the Anthropocene. The rate and variability of these human modifications at the local and global scale remain largely unknown, but new analytical methods such as high-resolution mass spectrometry (HRMS) can help to characterize chemical contamination. We therefore applied HRMS to investigate the contamination history of two lakes in Central Europe over the preceding 100 years. A hierarchical clustering analysis (HCA) of the collected time series data revealed more than 13 000 profiles of anthropogenic origin in both lakes, defining the beginning of large-scale human impacts during the 1950s. Our results show that the analysis of temporal patterns of nontarget contaminants is an effective method for characterizing the contamination pattern in the Anthropocene and an important step in prioritizing the identification of organic contaminants not yet successfully targeted by environmental regulation and pollution reduction initiatives. As proof of the concept, the success of the method was demonstrated with the identification of the pesticide imazalil, which probably originated from imported fruits. This new approach applicable to palaeoarchives can effectively be used to document the time and rate of change in contamination over time and provide additional information on the onset of the Anthropocene.

摘要

人类活动在全球环境中的痕迹显著增加,这为一个新的地质时代的开始提供了证据,这个地质时代被非正式地命名为人类世。这些在地方和全球范围内的人类活动的速度和可变性在很大程度上仍然未知,但新的分析方法,如高分辨率质谱(HRMS),可以帮助我们描述化学污染。因此,我们应用 HRMS 来研究过去 100 年来欧洲中部两个湖泊的污染历史。对收集的时间序列数据进行的层次聚类分析(HCA)显示,两个湖泊中都有超过 13000 种源自人为的特征谱,这定义了 20 世纪 50 年代大规模人类影响的开始。我们的结果表明,分析非目标污染物的时间模式是描述人类世污染模式的有效方法,也是确定尚未成功纳入环境法规和污染减排计划的有机污染物的优先顺序的重要步骤。作为概念验证,该方法的成功应用证明了识别农药咪鲜胺的可能性,这种农药可能来源于进口水果。这种适用于古档案的新方法可以有效地用于记录污染随时间的变化的时间和速度,并提供有关人类世开始的更多信息。

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