Display Settings:


Send to:

Choose Destination
See comment in PubMed Commons below
Environ Int. 2014 Sep;70:183-91. doi: 10.1016/j.envint.2014.05.020. Epub 2014 Jun 14.

Attributing population-scale human exposure to various source categories: merging exposure models and biomonitoring data.

Author information

  • 1Department of Public Health Sciences, University of California, Davis, CA, USA. Electronic address: hmshin@ucdavis.edu.
  • 2Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; School of Public Health, University of California, Berkeley, CA, USA.
  • 3Department of Public Health Sciences, University of California, Davis, CA, USA.


Information about the distribution of chemical-production mass with respect to use and release is a major and unavailable input for calculating population-scale exposure estimates. Based on exposure models and biomonitoring data, this study evaluates the distribution of total production volumes (and environmental releases if applicable) for a suite of organic compounds. We used Bayesian approaches that take the total intake from our exposure models as the prior intake distribution and the intake inferred from measured biomarker concentrations in the NHANES survey as the basis for updating. By carrying out a generalized sensitivity analysis, we separated the input parameters for which the modeled range of the total intake is within a factor of 2 of the intake inferred from biomonitoring data and those that result in a range greater than a factor of 2 of the intake. This analysis allows us to find the most sensitive (or important) parameters and the likelihood of emission rates for various source emission categories. Pie charts of contribution from each exposure pathway indicate that chemical properties are a primary determinant of the relative contribution of each exposure pathway within a given class of compounds. For compounds with relatively high octanol-water partition coefficients (Kow) such as di-2-ethylhexyl phthalate (DEHP), pyrene, 2,2',4,4'-tetrabromodiphenyl ether (PBDE-47), and 2,2',4,4',5,5'-hexabromodiphenyl ether (PBDE-153), more than 80% of exposure derives from outdoor food ingestion and/or indoor dust ingestion. In contrast, for diethyl phthalate (DEP), di-iso-butyl phthalate (DiBP), di-n-butyl phthalate (DnBP), butylbenzyl phthalate (BBP), and naphthalene, all relatively volatile compounds, either inhalation (indoor and outdoor) or dermal uptake from direct consumer use is the dominant exposure pathway. The approach of this study provides insights on confronting data gaps to improve population-scale exposure estimates used for high-throughput chemical prioritization.

Copyright © 2014 Elsevier Ltd. All rights reserved.


Biomarker; Environmental modeling; Exposure routes; Generalized sensitivity analysis; Total production volume

[PubMed - in process]
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Write to the Help Desk