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首页> 外文期刊>Environmental toxicology and chemistry >LINKING TOXICITY IN ALGAL AND BACTERIAL ASSAYS WITH CHEMICAL ANALYSIS IN PASSIVE SAMPLERS DEPLOYED IN 21 TREATED SEWAGE EFFLUENTS
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LINKING TOXICITY IN ALGAL AND BACTERIAL ASSAYS WITH CHEMICAL ANALYSIS IN PASSIVE SAMPLERS DEPLOYED IN 21 TREATED SEWAGE EFFLUENTS

机译：在21种治疗的污水污水中，用化学分析将藻类和细菌测定中的毒性联系在藻类和细菌测定中

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摘要

A diverse mix of micropollutants, including pesticides, biocides, and Pharmaceuticals, reaches the aquatic environment through treated sewage effluents. We sampled 21 final effluents with polar organic chemical integrative samplers (POCIS) and investigated to what extent chemical analyses of six photosystem II (PS-II) inhibitors and 12 other chemicals explain the toxic burdens quantified with two bioassays. Baseline toxicity equivalent concentrations (TEQ) were determined with a bacterial bioluminescence inhibition assay using Vibrio fischeri (baseline-TEQ_(bacteria)) and by assessing toxicity on algal growth using Pseudokirchneriella subcapitata (baseline-TEQ_(algae)). Inhibition PS-II was also determined with algae and expressed using diuron equivalent concentrations (DEQ_(bio)). Concentrations of chemicals and toxicities varied appreciably between effluents, typically spanning two orders of magnitude. Across 21 independent effluents, a DEQ calculated by concentration addition of PS-II inhibitors (DEQ_(chem)) proved a very good predictor of DEQ_(bio); DEQ_(chem) explained 65% of DEQ_(bio)· However, baseline-TEQ_(bacteria,bio) correlated poorly with baseline-TEQ(alage.bio), because baseline-TEQ_(algae) were strongly influenced by PS-II inhibitors. Using data on the 18 quantified compounds, and their estimated toxicities in the bacterial assay, we calculated a baseline-TEQ_(bacteria,chem). With one exception, a site with a high load of diclofenac, less than 1 % of baseline-TEQ_(bacteria,bio) was explained by the analyzed chemicals. We conclude that for the analyses of final effluents, DEQ_(bio) is a robust endpoint and usefuLscreening tool for PS-II inhibitors; in the presence of herbicides, baseline-TEQ_(bacteria,bio) proves a more robust measure of baseline toxicity than baseline-TEQ_(algae,bio).
机译：多种微梳子混合物，包括农药，杀生物剂和药品，通过治疗的污水污水达到水生环境。我们采样21种最终污水，具有极地有机化学综合取样器（POCI），并研究了六个光系统II（PS-II）抑制剂和12种其他化学品的化学分析的程度，解释了用两种生物测定量定量的有毒负担。使用vibriofischeri（基线-Teq_（细菌））用细菌生物发光抑制测定测定基线毒性等效浓度（TEQ），并通过Pseudoknerchneriella subcapitata评估藻类生长的毒性（基线-TEQ_（藻类））。用藻类测定抑制PS-II，并使用DIURON当量浓度（DEQ_（BIO））表达。在流出物之间，化学品和毒性的浓度显着变化，通常跨越两个数量级。在21个独立的污水中，通过浓度添加PS-II抑制剂（DEQ_（CHEM））计算的DEQ证明了DEQ_（BIO）的非常好的预测因子; DEQ_（CHEM）解释了65％的DEQ_（BIO）·然而，基线-TEQ_（细菌，生物）与基线 - TEQ（Alage.BIO）相关的相关性，因为基线-TEQ_（藻类）受到PS-II抑制剂的强烈影响。使用关于18种量化化合物的数据，以及它们在细菌测定中的估计毒性，我们计算了基线-TEQ_（细菌，Chem）。通过分析的化学品解释了具有高于二氯芬酸负荷，低于1％的基线-TEQ_（细菌，BIO）的遗址。我们得出结论，用于分析最终流出物，DEQ_（BIO）是PS-II抑制剂的强大终点和有用的筛选工具;在除草剂存在下，基线-TEQ_（细菌，BIO）证明了比基线-TEQ_（藻类，生物）的基线毒性更强的衡量标准。

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  • 来源
    《Environmental toxicology and chemistry》 |2010年第11期|p.2575-2582|共8页
  • 作者

    Etieenne L.M. Vermeirssen; Juliane Hollender; Nadine Bramaz; Juergen van der Voet; Beate I. Escher;

  • 作者单位

    Eawag Swiss Federal Institute of Aquatic Science and Technology 8600 Duebendorf Switzerland;

    Eawag Swiss Federal Institute of Aquatic Science and Technology 8600 Duebendorf Switzerland;

    Eawag Swiss Federal Institute of Aquatic Science and Technology 8600 Duebendorf Switzerland;

    Eawag Swiss Federal Institute of Aquatic Science and Technology 8600 Duebendorf Switzerland;

    Eawag Swiss Federal Institute of Aquatic Science and Technology 8600 Duebendorf Switzerland University of Queensland National Research Centre for Environmental Toxicology (Entox) Brisbane QLD 4108 Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    vibrio fischeri; bioluminescence inhibition; algal toxicity; concentration addition; passive sampling;

    机译：vibrio fischeri;生物发光抑制;藻类毒性;浓缩;被动抽样;

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