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首页> 外文期刊>Journal of exposure science & environmental epidemiology >Establishing a system of consumer product use categories to support rapid modeling of human exposure
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Establishing a system of consumer product use categories to support rapid modeling of human exposure

机译:建立消费产品使用类别的系统,以支持人类曝光的快速建模

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Consumer product categorizations for use in predicting human chemical exposure provide a bridge between product composition data and consumer product use pattern information. Furthermore, the categories reflect other factors relevant to developing consumer product exposure scenarios, such as microenvironment of use (e.g., indoors or outdoors), method of application/form of release (e.g., spray versus liquid), release to various media, removal processes (e.g., rinse-off or wipe-off), and route-specific exposure factors (dermal surface areas of application, fraction of release in respirable form). While challenging, developing harmonized product categories can generalize the factors described above allowing for rapid parameterization of route-specific exposure scenario algorithms for new chemical/product applications and efficient utilization of new data on product use or composition. This can be accomplished via mapping product categories to likewise categorized release and use patterns or exposure factors. Here, hierarchical product use categories (PUCs) for consumer products that provide such mappings are presented and crosswalked with other internationally harmonized product categories for consumer exposure assessment. The PUCs were defined by applying use and exposure scenario information to the products in EPA's Chemical and Products Database (CPDat). This paper demonstrates how these PUCs are being used to rapidly parameterize algorithms for scenario-specific use, fate, and exposure in a probabilistic aggregate model of human exposure to chemicals used in consumer products. The PUCs provide a generic representation of consumer products for use in exposure assessment and provide an efficient framework for flexible and rapid data reporting and consumer exposure model parameterization.
机译:用于预测人类化学曝光的消费者产品分类提供产品成分数据和消费产品使用模式信息之间的桥梁。此外,这些类别反映了与开发消费产品曝光情景相关的其他因素,例如使用的微环境(例如,室内或户外),释放方法/释放的形式(例如,喷雾与液体),释放到各种介质,去除过程(例如,冲洗或擦拭),以及途径特异性的曝光因子(皮肤表面区域的应用,可吸入形式的释放部分)。虽然具有挑战性,开发协调的产品类别可以概括上述因素,允许快速参数化路由特定的曝光情景算法,以实现新的化学/产品应用的新型曝光场景算法,并有效利用产品使用或组成的新数据。这可以通过映射产品类别来实现,以单独分类释放和使用模式或曝光因子。这里,提供提供此类映射的消费产品的分层产品使用类别(PUC)和交流其他国际统一的产品类别,用于消费者暴露评估。通过将使用和曝光方案信息应用于EPA的化学和产品数据库(CPDAT)的产品来定义PUC。本文展示了这些PUC如何用于快速参数化概率的使用,命运和概率综合模型的场景使用,命运和暴露于消费者产品中使用的化学品。 PUCS提供了用于曝光评估的消费产品的通用表示,并为灵活和快速数据报告和消费者曝光模型参数化提供有效的框架。

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