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Pharmaceuticals in water, fish and osprey nestlings in Delaware River and Bay.
Bean, Thomas G; Rattner, Barnett A; Lazarus, Rebecca S; Day, Daniel D; Burket, S Rebekah; Brooks, Bryan W; Haddad, Samuel P; Bowerman, William W.
Afiliação
  • Bean TG; Department of Environmental Science and Technology, University of Maryland, College Park, MD, USA.
  • Rattner BA; U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA. Electronic address: brattner@usgs.gov.
  • Lazarus RS; U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA.
  • Day DD; U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA.
  • Burket SR; Department of Environmental Science, Baylor University, Waco, TX, USA.
  • Brooks BW; Department of Environmental Science, Baylor University, Waco, TX, USA.
  • Haddad SP; Department of Environmental Science, Baylor University, Waco, TX, USA.
  • Bowerman WW; Department of Environmental Science and Technology, University of Maryland, College Park, MD, USA.
Environ Pollut ; 232: 533-545, 2018 Jan.
Article em En | MEDLINE | ID: mdl-29032907
ABSTRACT
Exposure of wildlife to Active Pharmaceutical Ingredients (APIs) is likely to occur but studies of risk are limited. One exposure pathway that has received attention is trophic transfer of APIs in a water-fish-osprey food chain. Samples of water, fish plasma and osprey plasma were collected from Delaware River and Bay, and analyzed for 21 APIs. Only 2 of 21 analytes exceeded method detection limits in osprey plasma (acetaminophen and diclofenac) with plasma levels typically 2-3 orders of magnitude below human therapeutic concentrations (HTC). We built upon a screening level model used to predict osprey exposure to APIs in Chesapeake Bay and evaluated whether exposure levels could have been predicted in Delaware Bay had we just measured concentrations in water or fish. Use of surface water and BCFs did not predict API concentrations in fish well, likely due to fish movement patterns, and partitioning and bioaccumulation uncertainties associated with these ionizable chemicals. Input of highest measured API concentration in fish plasma combined with pharmacokinetic data accurately predicted that diclofenac and acetaminophen would be the APIs most likely detected in osprey plasma. For the majority of APIs modeled, levels were not predicted to exceed 1 ng/mL or method detection limits in osprey plasma. Based on the target analytes examined, there is little evidence that APIs represent a significant risk to ospreys nesting in Delaware Bay. If an API is present in fish orders of magnitude below HTC, sampling of fish-eating birds is unlikely to be necessary. However, several human pharmaceuticals accumulated in fish plasma within a recommended safety factor for HTC. It is now important to expand the scope of diet-based API exposure modeling to include alternative exposure pathways (e.g., uptake from landfills, dumps and wastewater treatment plants) and geographic locations (developing countries) where API contamination of the environment may represent greater risk.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Preparações Farmacêuticas / Monitoramento Ambiental / Falconiformes Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Preparações Farmacêuticas / Monitoramento Ambiental / Falconiformes Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article