Citation:

Isaacs, K., K. Dionisio, K. Phillips, C. Bevington, P. Egeghy, AND P. Price. Establishing a system of consumer product use categories to support rapid modeling of human exposure. Journal of Exposure Science and Environmental Epidemiology . Nature Publishing Group, London, Uk, 30:171-183, (2020). https://doi.org/10.1038/s41370-019-0187-5

Impact/Purpose:

This paper describes a set of hierarchical consumer product categories fit-for-purpose for human exposure modeling. They can be used to organize model input data and link to scenario-specific model algorithms. The paper also provides crosswalks between this categories and existing category definitions. Examples of how these categories were applied in EPA’s Chemical and Products Database and Human Exposure Model are provided.

Description:

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.

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