Target Screening of Chemicals of Emerging Concern (CECs) in Surface Waters of the Swedish West Coast

被引:8
|
作者
Inostroza, Pedro A. [1 ]
Carmona, Eric [2 ]
Arrhenius, Asa [1 ]
Krauss, Martin [2 ]
Brack, Werner [2 ,3 ]
Backhaus, Thomas [1 ]
机构
[1] Univ Gothenburg, Dept Biol & Environm Sci, S-40530 Gothenburg, Sweden
[2] UFZ Helmholtz Ctr Environm Res, Dept Effect Directed Anal, Permoser Str 15, D-04318 Leipzig, Germany
[3] Goethe Univ Frankfurt, Fac Biol Sci, Dept Evolutionary Ecol & Environm Toxicol, Max von Laue Str 13, D-60438 Frankfurt, Germany
关键词
target screening; chemicals of emerging concern; marine pollution; LVSPE; surface waters; WASTE-WATER; MICROPOLLUTANTS;
D O I
10.3390/data8060093
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The aquatic environment faces increasing threats from a variety of unregulated organic chemicals originating from human activities, collectively known as chemicals of emerging concern (CECs). These include pharmaceuticals, personal-care products, pesticides, surfactants, industrial chemicals, and their transformation products. CECs enter aquatic environments through various sources, including effluents from wastewater treatment plants, industrial facilities, runoff from agricultural and residential areas, as well as accidental spills. Data on the occurrence of CECs in the marine environment are scarce, and more information is needed to assess the chemical and ecological status of water bodies, and to prioritize toxic chemicals for further studies or risk assessment. In this study, we describe a monitoring campaign targeting CECs in surface waters at the Swedish west coast using, for the first time, an on-site large volume solid phase extraction (LVSPE) device. We detected up to 80 and 227 CECs in marine sites and the wastewater treatment plant (WWTP) effluent, respectively. The dataset will contribute to defining pollution fingerprints and assessing the chemical status of marine and freshwater systems affected by industrial hubs, agricultural areas, and the discharge of urban wastewater. Dataset: 10.5281/zenodo.7845557 Dataset License: CC-BY-NC-SA 4.0
引用
收藏
页数:7
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