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Adapting Existing Occupational Exposure Models and Data for High-throughput Application (ISES 2020)
Citation:
Phillips, K., J. Minucci, K. Isaacs, AND Tom Purucker. Adapting Existing Occupational Exposure Models and Data for High-throughput Application (ISES 2020). ISES, Oakland, CA, September 20 - 24, 2020. https://doi.org/10.23645/epacomptox.24521086
Impact/Purpose:
This abstract will be submitted to the ISES 2020 Annual Meeting. It describes efforts to obtain data for and model worker exposure to chemicals through breathing (inhalation models) and skin contact (dermal models).
Description:
With the passing of the Frank R. Lautenberg Chemical Safety for the 21st Century Act, the Toxic Substances Control Act (TSCA) was amended to require risk assessors to consider susceptible subpopulations when prioritizing compounds for risk assessment. While high-throughput consumer exposure models can be modified to account for some populations that can be considered susceptible (e.g., sensitive age groups), there are relatively few high-throughput models capable of addressing the chemical exposure scenarios encountered by workers (another susceptible group). Existing lower-throughput models (i.e., models that calculate the exposure for a single chemical over a single pathway and exposure scenario) are often contained in graphical user interfaces that make these models unamenable to incorporation with high-throughput models. Seventeen exposure models (6 dermal models and 11 inhalation models) from the graphical user interface of the U.S. Environmental Protection Agency’s (EPA) Chemical Screening Tool for Exposure and Environmental Releases (ChemSTEER) have been implemented within a Python package: the High-throughput Command Line Occupational Exposure Tool (CLOET-HT). Each of the models contained within CLOET-HT have been validated against their analogous models within the ChemSTEER program. With appropriate data, these models can be evaluated and parameterized for high-throughput occupational exposure modeling purposes. In order to obtain necessary data to evaluate these models, the Chemical Exposure Health Data published by the U.S. Occupation Health and Safety Administration (OSHA) has been utilized. These data contain chemical concentrations measured from personal air samplers on a worker and dermal wipes of workers’ skin, as well as information connecting the workplace in which a sample has been taken to the North American Industrial Classification System (NAICS) code. This presentation will discuss the efforts to construct and validate CLOET-HT as well as curation of the Chemical Exposure Health Data for use in evaluating occupational exposure models.
URLs/Downloads:
DOI: Adapting Existing Occupational Exposure Models and Data for High-throughput Application (ISES 2020)
PRESENTATION.PDF (PDF, NA pp, 2803.74 KB, about PDF)