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Identifying Chemicals and Mixtures of Potential Biological Concern Detected in Passive Samplers from Great Lakes Tributaries Using High‐Throughput Data and Biological Pathways

机译:使用高通量数据和生物途径,识别在伟大的湖泊支流中的被动采样器中检测到的潜在生物关注的化学品和混合物

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Waterborne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS). A risk-based screening approach was used to prioritize chemicals and chemical mixtures, identify sites at greatest risk for biological impacts, and identify potential hazards to monitor at those sites. Analyses included 185 chemicals (143 detected) including polycyclic aromatic hydrocarbons (PAHs), legacy and current-use pesticides, fire retardants, pharmaceuticals, and fragrances. Hazard quotients were calculated by dividing detected concentrations by biological effect concentrations reported in the ECOTOX Knowledgebase (toxicity quotients) or ToxCast database (exposure-activity ratios [EARs]). Mixture effects were estimated by summation of EAR values for chemicals that influence ToxCast assays with common gene targets. Nineteen chemicals-atrazine, N,N-diethyltoluamide, di(2-ethylhexyl)phthalate, dl-menthol, galaxolide, p-tert-octylphenol, 3 organochlorine pesticides, 3 PAHs, 4 pharmaceuticals, and 3 phosphate flame retardants-had toxicity quotients 0.1 or EARs for individual chemicals 10(-3) at 10% or more of the sites monitored. An additional 4 chemicals (tributyl phosphate, triethyl citrate, benz[a]anthracene, and benzo[b]fluoranthene) were present in mixtures with EARs 10(-3). To evaluate potential apical effects and biological endpoints to monitor in exposed wildlife, in vitro bioactivity data were compared to adverse outcome pathway gene ontology information. Endpoints and effects associated with endocrine disruption, alterations in xenobiotic metabolism, and potentially neuronal development would be relevant to monitor at the priority sites. The EAR threshold exceedance for many chemical classes was correlated with urban land cover and wastewater effluent influence, whereas herbicides and fire retardants were also correlated to agricultural land cover. Environ Toxicol Chem 2021;00:1-18. Published 2021. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
机译:在2010年和2014年,在2010年和2014年使用半透膜装置(SPMDS)和极地有机化学一体化采样器(POCI),在Laurentian Great Lakes的69个支流中监测了水性污染物。基于风险的筛查方法用于优先考虑化学品和化学混合物,以最大的生物影响风险鉴定出位点,并确定在这些地点监测潜在危害。分析包括185种化学物质(143检测到),包括多环芳烃(PAH),遗产和当前用过的杀虫剂,阻燃剂,药物和香料。通过将检测到的浓度除以生态毒素知识库(毒性版)或Toxcast数据库(曝光 - 活性比[耳朵])来计算危害版本通过划分检测到的生物效应浓度来计算。通过影响与常见基因靶标的化学品的耳值的总和估计混合物效应。十九化学品 - 亚特津,N,N-二乙基酞胺,二(2-乙基己基)邻苯二甲酸酯,DL-薄荷醇,半藻,P-叔辛基苯酚,3个有机氯农药,3个PAHS,4药物和3个磷酸盐阻燃剂 - 具有毒性等分&单个化学物质的0.1或耳朵。10%(-3)在监测的位点10%以上。在具有耳朵的混合物中存在另外的4种化学物质(磷酸三酯,柠檬酸三乙酯,苯并[a]蒽和苯并[b]氟烷烯)。10(-3)。为了评估在暴露的野生动物中监测到暴露的野生动物中的潜在顶端效应和生物终点,与不良结果途径基因本体信息进行比较。与内分泌破坏的终点和效果,异骨代谢的改变,以及潜在的神经元发育将与在优先网站上监测。许多化学类别的耳阈值与城市覆盖和废水污水影响相关,而除草剂和阻燃剂也与农业陆地覆盖有关。环境毒素化学2021; 00:1-18。发布2021年。本文是美国政府工作,并在美国的公共领域。 Wiley期刊LLC代表Setac出版的环境毒理学和化学。

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