An integrated approach for prioritizing pharmaceuticals found in the environment for risk assessmerit, monitoring and advanced research

被引:62
作者
Caldwell, Daniel J. [1 ]
Mastrocco, Frank [2 ]
Margiotta-Casaluci, Luigi [3 ]
Brooks, Bryan W. [4 ]
机构
[1] Johnson & Johnson, New Brunswick, NJ 08901 USA
[2] Pfizer Inc, New York, NY USA
[3] Brunel Univ, Inst Environm, Uxbridge UB8 3PH, Middx, England
[4] Baylor Univ, Ctr Reservoir & Aquat Syst Res, Dept Environm Sci, Waco, TX 76798 USA
基金
英国生物技术与生命科学研究理事会;
关键词
Environmental risk assessment; Pharmaceuticals in the environment; Prioritization; Adverse outcome pathways; Intelligent testing; ADVERSE OUTCOME PATHWAYS; PERSONAL CARE PRODUCTS; AQUATIC ENVIRONMENT; WASTE-WATER; CONCEPTUAL-FRAMEWORK; EMERGING CONCERN; FATHEAD MINNOWS; FISH; ECOTOXICOLOGY; CONTAMINANTS;
D O I
10.1016/j.chemosphere.2014.01.021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Numerous active pharmaceutical ingredients (APIs), approved prior to enactment of detailed environmental risk assessment (ERA) guidance in the EU in 2006, have been detected in surface waters as a result of advancements in analytical technologies. Without adequate knowledge of the potential hazards these APIs may pose, assessing their environmental risk is challenging. As it would be impractical to commence hazard characterization and ERA en masse, several approaches to prioritizing substances for further attention have been published. Here, through the combination of three presentations given at a recent conference, "Pharmaceuticals in the Environment, Is there a problem?" (Nimes, France, June 2013) we review several of these approaches, identify salient components, and present available techniques and tools that could facilitate a pragmatic, scientifically sound approach to prioritizing APIs for advanced study or ERA and, where warranted, fill critical data gaps through targeted, intelligent testing. We further present a modest proposal to facilitate future prioritization efforts and advanced research studies that incorporates mammalian pharmacology data (e.g., adverse outcomes pathways and the fish plasma model) and modeled exposure data based on pharmaceutical use. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4 / 12
页数:9
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