Literature DB >> 31712628

Establishing a system of consumer product use categories to support rapid modeling of human exposure.

Kristin K Isaacs1, Kathie Dionisio2, Katherine Phillips2, Charles Bevington3, Peter Egeghy2, Paul S Price2.   

Abstract

Consumer product categorizations for use in predicting human chemical exposure provide a bridge between product composition data and consumer product use pattern information. Furthermore, the categories reflect other factors relevant to developing consumer product exposure scenarios, such as microenvironment of use (e.g., indoors or outdoors), method of application/form of release (e.g., spray versus liquid), release to various media, removal processes (e.g., rinse-off or wipe-off), and route-specific exposure factors (dermal surface areas of application, fraction of release in respirable form). While challenging, developing harmonized product categories can generalize the factors described above allowing for rapid parameterization of route-specific exposure scenario algorithms for new chemical/product applications and efficient utilization of new data on product use or composition. This can be accomplished via mapping product categories to likewise categorized release and use patterns or exposure factors. Here, hierarchical product use categories (PUCs) for consumer products that provide such mappings are presented and crosswalked with other internationally harmonized product categories for consumer exposure assessment. The PUCs were defined by applying use and exposure scenario information to the products in EPA's Chemical and Products Database (CPDat). This paper demonstrates how these PUCs are being used to rapidly parameterize algorithms for scenario-specific use, fate, and exposure in a probabilistic aggregate model of human exposure to chemicals used in consumer products. The PUCs provide a generic representation of consumer products for use in exposure assessment and provide an efficient framework for flexible and rapid data reporting and consumer exposure model parameterization.

Entities:  

Keywords:  CHEM; Consumer products; ExpoCast; Exposure assessment; Human exposure modeling; SHEDS-HT

Mesh:

Year:  2019        PMID: 31712628      PMCID: PMC7745729          DOI: 10.1038/s41370-019-0187-5

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  11 in total

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3.  EPHECT II: Exposure assessment to household consumer products.

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4.  Rapid methods to estimate potential exposure to semivolatile organic compounds in the indoor environment.

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Authors:  Jade Mitchell; Jon A Arnot; Olivier Jolliet; Panos G Georgopoulos; Sastry Isukapalli; Surajit Dasgupta; Muhilan Pandian; John Wambaugh; Peter Egeghy; Elaine A Cohen Hubal; Daniel A Vallero
Journal:  Sci Total Environ       Date:  2013-05-22       Impact factor: 7.963

6.  SHEDS-HT: an integrated probabilistic exposure model for prioritizing exposures to chemicals with near-field and dietary sources.

Authors:  Kristin K Isaacs; W Graham Glen; Peter Egeghy; Michael-Rock Goldsmith; Luther Smith; Daniel Vallero; Raina Brooks; Christopher M Grulke; Halûk Özkaynak
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Journal:  Crit Rev Toxicol       Date:  2017-02-10       Impact factor: 5.635

9.  The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products.

Authors:  Kathie L Dionisio; Katherine Phillips; Paul S Price; Christopher M Grulke; Antony Williams; Derya Biryol; Tao Hong; Kristin K Isaacs
Journal:  Sci Data       Date:  2018-07-10       Impact factor: 6.444

10.  European solvent industry group generic exposure scenario risk and exposure tool.

Authors:  Rosemary T Zaleski; Hua Qian; Michael P Zelenka; Anita George-Ares; Chris Money
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-01-30       Impact factor: 5.563

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4.  Reactive organic carbon emissions from volatile chemical products.

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5.  Criteria pollutant impacts of volatile chemical products informed by near-field modeling.

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