You are here:
Other Perspectives for Developing Exposure Estimates: “SHEDS-Lite: Rapid Scenario-Based ExposurePredictions for Chemicals with Near-Field and Dietary Pathways”
Citation:
Isaacs, K., W. Glen, P. Egeghy, D. Vallero, M. Goldsmith, AND H. Ozkaynak. Other Perspectives for Developing Exposure Estimates: “SHEDS-Lite: Rapid Scenario-Based ExposurePredictions for Chemicals with Near-Field and Dietary Pathways”. 24th Annual ISES Meeting, Cincinnati, OH, October 12 - 16, 2014.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA mission to protect human health and the environment. HEASD research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.
Description:
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 highthroughput 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.
