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Applying a mass-balance model to predict human in vitro dermal absorption of data poor chemicals
Citation:
Fisher, H., M. Evans, E. Hubal, AND Dan Vallero. Applying a mass-balance model to predict human in vitro dermal absorption of data poor chemicals. ISES, Chicago, IL, August 27 - 31, 2023. https://doi.org/10.23645/epacomptox.23902194
Impact/Purpose:
N/A
Description:
The U.S. Environmental Protection Agency recently developed a computational dermal model for human exposure consisting of a series of four well-mixed compartments. These compartments represent the source solution (vehicle), stratum corneum, viable tissue, and receptor fluid. In addition, steps are taken to account for chemical evaporation out of the source compartment and, once that compartment has evaporated, evaporation continues from the stratum corneum. This model was evaluated by comparing model outputs to experimental measurements for 26 data-rich, cosmetically relevant chemicals. In this study, we plan to apply the model to a set of data poor PFAS compounds that require dermal exposure predictions for accurate aggregate exposure estimates. In the absence of experimental data to validate these model predictions with, we will focus our results on bounding the potential dermal uptake and identifying data gaps. Since experimental values for partition coefficients and permeabilities may not be available for many of these compounds, we will determine methods to obtain these inputs, including documentation of uncertainties. This study’s aims are to evaluate the feasibility of using this dermal model to predict dermal uptake for PFAS and other data poor chemicals, and to explore methods for obtaining required input values for such chemicals. Disclaimer: This abstract does not necessarily reflect Agency policy.
URLs/Downloads:
DOI: Applying a mass-balance model to predict human in vitro dermal absorption of data poor chemicals
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