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A tiered, integrated biological and chemical monitoring framework for contaminants of emerging concern in aquatic ecosystems.
Maruya, Keith A; Dodder, Nathan G; Mehinto, Alvine C; Denslow, Nancy D; Schlenk, Daniel; Snyder, Shane A; Weisberg, Stephen B.
Afiliação
  • Maruya KA; Southern California Coastal Water Research Project Authority, Costa Mesa, California, USA.
  • Dodder NG; Southern California Coastal Water Research Project Authority, Costa Mesa, California, USA.
  • Mehinto AC; Southern California Coastal Water Research Project Authority, Costa Mesa, California, USA.
  • Denslow ND; Department of Physiological Sciences, Center for Environmental and Human Toxicology, University of Florida, Gainesville, Florida, USA.
  • Schlenk D; Department of Environmental Sciences, University of California Riverside, Riverside, California, USA.
  • Snyder SA; Department of Chemical and Environmental Engineering, University of Arizona, Tucson, Arizona, USA.
  • Weisberg SB; Southern California Coastal Water Research Project Authority, Costa Mesa, California, USA.
Integr Environ Assess Manag ; 12(3): 540-7, 2016 Jul.
Article em En | MEDLINE | ID: mdl-26426153
ABSTRACT
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;12540-547. © 2015 SETAC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Monitoramento Ambiental / Ecossistema Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: America do norte Idioma: En Revista: Integr Environ Assess Manag Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Monitoramento Ambiental / Ecossistema Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: America do norte Idioma: En Revista: Integr Environ Assess Manag Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos