期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 650, 期 -, 页码 10-17出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2018.08.215
关键词
Wastewater; Daphnia magna; Fractionation; Effect-directed analysis EDA; Potency balance
资金
- Natural Science Foundation of China [21577058]
- Science Fund for Excellent Young Scholars of Jiangsu Province [BK20170077]
- National Water Pollution Control and Treatment Science and Technology Major Project [2017ZX07602-002, 2017ZX07202-001]
With an increasing amount of industrial wastewater being discharged and the numerous chemicals existed in, methods to identify toxicants in such complex matrices are urgently needed for source control and quality management. In vivo toxicity to Daphnia magna was evaluated in the effluent of a wastewater treatment plant (WWTP). An extended suspect screening strategy was performed by bioassay-directed fractionation, accompanied with suspect screening of 228 suspect chemicals in toxic fractions based on their mass characteristics and chromatography characteristics. A toxicity evaluation of the original samples, organic components extracted by solid-phase extraction (SPE) and the filtered samples showed that organic compounds extracted by SPE were the main toxic components. Four of the 26 fractions of the organic extracts exhibited a toxic unit (TU) > 1.0, with hydrophobic organic compounds contributing most to the toxicity. Twenty-eight of the 228 suspects were identified in four toxic fractions, with 53.6% of the suspects elucidated by spectrum interpretation based on mass characteristics and 53.8% more false positive suspects removed based on chromatography characteristics. Finally, 6 pollutants, including imazalil, prometryn, propiconazole, tebuconazole, buprofezin and diazinon, were further confirmed and explained 48.79% of the observed toxicity. With 2.48 times more of the toxicity explained and 90% of the labor saved, the extended suspect screening strategy enabled more efficient and reliable identification compared to traditional quantitative analysis and non-target screening, especially for identification of characteristic toxicants in complex environmental matrices. (C) 2018 Published by Elsevier B.V.
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