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Establishing a system of consumer product use categories to support rapid modeling of human exposure.
Journal of Exposure Science and Environmental Epidemiology ( IF 4.1 ) Pub Date : 2019-11-11 , DOI: 10.1038/s41370-019-0187-5
Kristin K Isaacs 1 , Kathie Dionisio 1 , Katherine Phillips 1 , Charles Bevington 2 , Peter Egeghy 1 , Paul S Price 1
Affiliation  

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.

中文翻译:

建立消费产品使用类别的系统以支持人类暴露的快速建模。

用于预测人类化学暴露的消费品分类提供了产品成分数据和消费品使用方式信息之间的桥梁。此外,类别反映了与发展消费品暴露场景相关的其他因素,例如使用的微环境(例如室内或室外),施用方法/释放形式(例如喷雾与液体),释放到各种介质中,去除过程(例如冲洗掉或擦掉),以及特定于途径的接触因素(施用的皮肤表面积,可呼吸形式的释放比例)。在挑战的同时,开发协调一致的产品类别可以概括上述因素,从而可以针对新化学/产品应用对特定于路线的暴露场景算法进行快速参数化,并有效利用有关产品用途或成分的新数据。这可以通过将产品类别映射到同样分类的发布和使用模式或暴露因素来实现。在此,提供了此类映射的消费产品的分层产品使用类别(PUC)会呈现出来,并与其他国际统一的产品类别进行交叉展示,以进行消费者暴露评估。通过将使用和暴露场景信息应用于EPA的化学和产品数据库(CPDat)中的产品来定义PUC。本文演示了如何在人类暴露于消费品中使用的化学物质的概率汇总模型中,如何将这些PUC用于参数化特定情况下的使用,命运和暴露的快速参数化算法。PUC提供了用于暴露评估的消费产品的通用表示形式,并为灵活,快速的数据报告和消费者暴露模型参数化提供了有效的框架。
更新日期:2019-11-11
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