Science Inventory

Consumer product chemical weight fractions from ingredient lists

Citation:

Isaacs, K., K. Phillips, D. Biryol, K. Dionisio, AND P. Price. Consumer product chemical weight fractions from ingredient lists. Journal of Exposure Science and Environmental Epidemiology . Nature Publishing Group, London, Uk, 28:216-222, (2018).

Impact/Purpose:

This research describes a Monte-Carlo modeling approach for estimating chemical concentrations associated with rank-ordered ingredient lists. This work will help fill gaps in chemical source information for estimation of exposures to chemicals in consumer products.

Description:

Assessing human exposures to chemicals in consumer products requires composition information. However, comprehensive composition data for products in commerce are not generally available. Many consumer products have reported ingredient lists that are constructed using specific guidelines. A probabilistic model was developed to estimate quantitative weight fraction (WF) values that are consistent with the rank of an ingredient in the list, the number of reported ingredients, and labeling rules. The model provides the mean, median, and 95% upper and lower confidence limit WFs for ingredients of any rank in lists of any length. WFs predicted by the model compared favorably with those reported on Material Safety Data Sheets. Predictions for chemicals known to provide specific functions in products were also found to reasonably agree with reported WFs. The model was applied to a selection of publicly available ingredient lists, thereby estimating WFs for 1293 unique ingredients in 1123 products in 81 product categories. Predicted WFs, although less precise than reported values, can be estimated for large numbers of product–chemical combinations and thus provide a useful source of data for high-throughput or screening-level exposure assessments.

URLs/Downloads:

https://doi.org10.1038/jes.2017.29   Exit

Record Details:

Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Product Published Date: 04/02/2018
Record Last Revised: 04/20/2018
OMB Category: Other
Record ID: 340498

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL EXPOSURE RESEARCH LABORATORY

COMPUTATIONAL EXPOSURE DIVISION

HUMAN EXPOSURE & DOSE MODELING BRANCH