首页> 外文会议>Annual conference of the International Society of Exposure Science >Other Perspectives for Developing Exposure Estimates: 'SHEDS-Lite: Rapid Scenario-Based Exposure Predictions for Chemicals with Near-Field and Dietary Pathways'
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Other Perspectives for Developing Exposure Estimates: 'SHEDS-Lite: Rapid Scenario-Based Exposure Predictions for Chemicals with Near-Field and Dietary Pathways'

机译:制定接触量估算值的其他观点:“ SHEDS-Lite:具有近场和饮食途径的化学品的快速基于场景的接触量预测”

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Creative advances in exposure science are needed to support efficient and effective evaluation and management of chemical risks, particularly for chemicals in consumer products. This presentation will describe the development of EPA's screening-level, probabilistic SHEDS-Lite human exposure model. Using as inputs information on consumer product chemical ingredients, consumer product usage, human activities, chemical properties, and chemical residues in food and drinking water, the model predicts quantitative distributions of chemical exposures resulting from residential near-field or dietary pathways. The exposure scenarios relevant for each chemical are based on the types of consumer products in which the chemical is found. In an initial high-throughput case study, exposure and intake dose results for over 2000 chemicals were summarized by exposure pathway, consumer product category, exposure route (dermal, inhalation, non-dietary ingestion, dietary) and age/gender cohort. The ability of the SHEDS-Lite model to predict human exposures inferred from available NHANES biomarker data (including the identification of critical exposure pathways) was examined. Future efforts will focus on expanding the chemical domain of the model beyond that covered by this initial case study application.
机译:接触科学需要创新性的进步,以支持对化学品风险(尤其是消费品中的化学品)进行有效,有效的评估和管理。本演讲将描述EPA筛查级概率SHEDS-Lite人类暴露模型的发展。该模型使用有关消费品化学成分,消费品使用情况,人类活动,化学特性以及食物和饮用水中化学残留物的信息作为输入,从而预测居民近场或饮食途径所导致的化学暴露的定量分布。与每种化学物质有关的暴露场景是根据发现该化学物质的消费产品的类型而定。在最初的高通量案例研究中,通过接触途径,消费产品类别,接触途径(皮肤,吸入,非饮食,饮食)和年龄/性别队列总结了2000多种化学物质的接触和摄入剂量结果。检验了SHEDS-Lite模型预测从可用NHANES生物标志物数据(包括关键暴露途径的鉴定)推断出的人类暴露的能力。未来的工作将集中于扩展模型的化学范围,使其超出此初始案例研究应用程序所涵盖的范围。

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