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Exposure Prioritization (Ex Priori): A Screening-Level High-Throughput Chemical Prioritization Tool.
Hubbard, Heidi F; Ring, Caroline L; Hong, Tao; Henning, Cara C; Vallero, Daniel A; Egeghy, Peter P; Goldsmith, Michael-Rock.
Afiliação
  • Hubbard HF; ICF International, 2635 Meridian Parkway, Durham, NC 27713, USA.
  • Ring CL; Chemical Characterization and Exposure Division, Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Durham, NC 27713, USA.
  • Hong T; ICF International, 2635 Meridian Parkway, Durham, NC 27713, USA.
  • Henning CC; ICF International, 2635 Meridian Parkway, Durham, NC 27713, USA.
  • Vallero DA; Chemical Characterization and Exposure Division, Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Durham, NC 27713, USA.
  • Egeghy PP; Chemical Characterization and Exposure Division, Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Durham, NC 27713, USA.
  • Goldsmith MR; Chemical Characterization and Exposure Division, Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Durham, NC 27713, USA.
Toxics ; 10(10)2022 Sep 28.
Article em En | MEDLINE | ID: mdl-36287849
To estimate potential chemical risk, tools are needed to prioritize potential exposures for chemicals with minimal data. Consumer product exposures are a key pathway, and variability in consumer use patterns is an important factor. We designed Ex Priori, a flexible dashboard-type screening-level exposure model, to rapidly visualize exposure rankings from consumer product use. Ex Priori is Excel-based. Currently, it is parameterized for seven routes of exposure for 1108 chemicals present in 228 consumer product types. It includes toxicokinetics considerations to estimate body burden. It includes a simple framework for rapid modeling of broad changes in consumer use patterns by product category. Ex Priori rapidly models changes in consumer user patterns during the COVID-19 pandemic and instantly shows resulting changes in chemical exposure rankings by body burden. Sensitivity analysis indicates that the model is sensitive to the air emissions rate of chemicals from products. Ex Priori's simple dashboard facilitates dynamic exploration of the effects of varying consumer product use patterns on prioritization of chemicals based on potential exposures. Ex Priori can be a useful modeling and visualization tool to both novice and experienced exposure modelers and complement more computationally intensive population-based exposure models.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos