Science Inventory

Applying a Conceptual Scientific Workflow for Exposure to Alternatives Assessments for Chemicals in Consumer Products

Citation:

Vallero, Dan AND E. Cohen-Hubal. Applying a Conceptual Scientific Workflow for Exposure to Alternatives Assessments for Chemicals in Consumer Products. SOT, Nashville, TN, March 19 - 23, 2023. https://doi.org/10.23645/epacomptox.22630558

Impact/Purpose:

Poster presented to the Society of Toxicology 62nd Annual Meeting and ToxExpo March 2023. Exposure potential is not only important in health risk assessment but also in the life cycle analysis of chemical/product combinations, including alternatives assessments and chemical substitution. A conceptual scientific workflow has been developed which can be applied to various scenarios and extrapolations from data-rich to data-poor chemical/product combinations. This will work will directly impact EPA’s program office partners by integrating and delivering NAM based approaches (i.e., conceptual scientific workflows) in areas of regulatory jurisdiction that have large data gaps (i.e., alternative assessments in OCSPP, OPPT, OLEM, OW, etc).

Description:

Exposure potential is not only important in health risk assessment but also in the life cycle analysis of chemical/product combinations, including alternatives assessments and chemical substitution . A scientific workflow is designed to identify and execute a series of data manipulation and computational steps to provide information needed for sustainable and risk-based decision-making. For chemical assessments, scientific workflows can support efficient and transparent analyses, especially for considering complex systems from a systems perspective. A conceptual scientific workflow has been developed which can be applied to various scenarios and extrapolations from data-rich to data-poor chemical/product combinations. To demonstrate this approach, three types of consumer product exposure scenarios will be presented: Type 1 - Data-rich compound only (fewer gaps for two major pathways – water and consumer products for 1,4-dioxane); Type 2 - Interpolation within a chemical class – A mix of data-rich and data-poor compounds (all pathways for polybrominated diphenyl ethers); and Type 3 - Interpolation of an emergent chemical class from chemicals both inside and outside of that chemical class – Data-rich to data-poor interpolation (all pathways for an entire chemical class from data-rich compounds for a specific product/chemical and life stage in the life cycle or product use category. This abstract does not reflect EPA policy.