Maruya Keith A, Dodder Nathan G, Mehinto Alvine C, Denslow Nancy D, Schlenk Daniel, Snyder Shane A, Weisberg Stephen B
Southern California Coastal Water Research Project Authority, Costa Mesa, California, USA.
Department of Physiological Sciences, Center for Environmental and Human Toxicology, University of Florida, Gainesville, Florida, USA.
Integr Environ Assess Manag. 2016 Jul;12(3):540-7. doi: 10.1002/ieam.1702. Epub 2015 Nov 1.
The chemical-specific risk-based paradigm that informs monitoring and assessment of environmental contaminants does not apply well to the many thousands of new chemicals that are being introduced into ambient receiving waters. We propose a tiered framework that incorporates bioanalytical screening tools and diagnostic nontargeted chemical analysis to more effectively monitor for contaminants of emerging concern (CECs). The framework is based on a comprehensive battery of in vitro bioassays to first screen for a broad spectrum of CECs and nontargeted analytical methods to identify bioactive contaminants missed by the currently favored targeted analyses. Water quality managers in California have embraced this strategy with plans to further develop and test this framework in regional and statewide pilot studies on waterbodies that receive discharge from municipal wastewater treatment plants and stormwater runoff. In addition to directly informing decisions, the data obtained using this framework can be used to construct and validate models that better predict CEC occurrence and toxicity. The adaptive interplay among screening results, diagnostic assessment and predictive modeling will allow managers to make decisions based on the most current and relevant information, instead of extrapolating from parameters with questionable linkage to CEC impacts. Integr Environ Assess Manag 2016;12:540-547. © 2015 SETAC.
用于指导环境污染物监测与评估的基于化学物质特定风险的范式，并不适用于成千上万种正被引入周边受纳水体的新型化学物质。我们提出了一个分层框架，该框架纳入了生物分析筛选工具和诊断性非靶向化学分析，以更有效地监测新出现的关注污染物（CECs）。该框架基于一系列全面的体外生物测定法，首先对广泛的CECs进行筛选，并采用非靶向分析方法来识别当前常用的靶向分析所遗漏的生物活性污染物。加利福尼亚州的水质管理人员已采纳了这一策略，并计划在接收城市污水处理厂排放和雨水径流的水体的区域和全州范围内的试点研究中进一步开发和测试该框架。除了直接为决策提供依据外，使用该框架获得的数据还可用于构建和验证能更好地预测CECs出现和毒性的模型。筛选结果、诊断评估和预测建模之间的适应性相互作用，将使管理人员能够根据最新和相关的信息做出决策，而不是从与CECs影响联系存疑的参数进行推断。《综合环境评估与管理》2016年；12:540 - 547。© 2015 SETAC。
