Abstract
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.
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Acknowledgements
This research was supported in part by Research Participation Program at the Office of Research and Development, US EPA, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between US Department of Energy and US EPA. The information in this document has been funded wholly or in part by the US EPA. It does not signify that the contents necessarily reflect the views of the Agency, nor does mention of trade names or commercial products constitute endorsement or recommendation for use. The paper has been subjected to the Agency’s review process and approved for publication. We thank Drs Daniel Vallero and Rogelio Tornero-Velez for thoughtful review of the manuscript.
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Supplementary Information accompanies the paper on the Journal of Exposure Science and Environmental Epidemiology website
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Isaacs, K., Phillips, K., Biryol, D. et al. Consumer product chemical weight fractions from ingredient lists. J Expo Sci Environ Epidemiol 28, 216–222 (2018). https://doi.org/10.1038/jes.2017.29
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DOI: https://doi.org/10.1038/jes.2017.29
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