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Application of prioritization approaches to optimize environmental monitoring and testing of Pharmaceuticals

机译:优先级探讨方法优化保护性能的应用

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Pharmaceuticals are ubiquitous in the natural environment with concentrations expected to rise as human population increases. Environmental risk assessments are available for a small portion of Pharmaceuticals in use, raising concerns over the potential risks posed by other drugs that have little or no data. With >1900 active pharmaceutical ingredients in use, it would be a major task to test all of the compounds with little or no data. Desk-based prioritization studies provide a potential solution by identifying those substances that are likely to pose the greatest risk to the environment and which, therefore, need to be considered a priority for further study. The aim of this review was to (1) provide an overview of different prioritization exercises performed for Pharmaceuticals in the environment and the results obtained; and (2) propose a new holistic risk-based prioritization framework for drugs in the environment. The suggested models to underpin this framework are discussed in terms of validity and applicability. The availability of data required to run the models was assessed and data gaps identified. The implementation of this framework may harmonize pharmaceutical prioritization efforts and ensure that, in the future, experimental resources are focused on molecules, endpoints, and environmental compartments that are biologically relevant.
机译:药品在自然环境中普遍存在,随着人类人群的增加,预期的浓度将升高。环境风险评估可用于使用的一小部分药物,提高对其他药物带来的潜在风险的担忧,这些药物很少或没有数据。使用> 1900个活性药物成分,它将是测试所有具有很少或没有数据的化合物的主要任务。基于桌面的优先级研究通过识别可能对环境产生最大风险的那些物质来提供潜在的解决方案,因此,需要被认为是进一步研究的优先事项。本综述的目的是(1)概述对环境中药品进行的不同优先级练习和所获得的结果; (2)为环境中的药物提出了一种新的整体风险优先级框架。建议的模型在有效性和适用性方面讨论了该框架。评估运行模型所需的数据的可用性,并确定了数据差距。该框架的实施可以协调药物优先级努力,并确保将来,实验资源集中在生物学相关的分子,终点和环境隔间上。

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