Change search
ReferencesLink to record
Permanent link

Direct link
Prioritizing Chemicals and Data Requirements for Screening-Level Exposure and Risk Assessment
Show others and affiliations
2012 (English)In: Journal of Environmental Health Perspectives, ISSN 0091-6765, E-ISSN 1552-9924, Vol. 120, no 11, 1565-1570 p.Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Scientists and regulatory agencies strive to identify chemicals that may cause harmful effects to humans and the environment; however, prioritization is challenging because of the large number of chemicals requiring evaluation and limited data and resources. OBJECTIVES: We aimed to prioritize chemicals for exposure and exposure potential and obtain a quantitative perspective on research needs to better address uncertainty in screening assessments. METHODS: We used a multimedia mass balance model to prioritize > 12,000 organic chemicals using four far-field human exposure metrics. The propagation of variance (uncertainty) in key chemical information used as model input for calculating exposure metrics was quantified. RESULTS: Modeled human concentrations and intake rates span approximately 17 and 15 orders of magnitude, respectively. Estimates of exposure potential using human concentrations and a unit emission rate span approximately 13 orders of magnitude, and intake fractions span 7 orders of magnitude. The actual chemical emission rate contributes the greatest variance (uncertainty) in exposure estimates. The human biotransformation half-life is the second greatest source of uncertainty in estimated concentrations. In general, biotransformation and biodegradation half-lives are greater sources of uncertainty in modeled exposure and exposure potential than chemical partition coefficients. CONCLUSIONS: Mechanistic exposure modeling is suitable for screening and prioritizing large numbers of chemicals. By including uncertainty analysis and uncertainty in chemical information in the exposure estimates, these methods can help identify and address the important sources of uncertainty in human exposure and risk assessment in a systematic manner.

Place, publisher, year, edition, pages
2012. Vol. 120, no 11, 1565-1570 p.
Keyword [en]
exposure, high throughput, organic chemicals, risk, uncertainty analysis
National Category
Environmental Sciences Ecology
URN: urn:nbn:se:su:diva-84774DOI: 10.1289/ehp.1205355ISI: 000311070000026OAI: diva2:582036


Available from: 2013-01-03 Created: 2013-01-02 Last updated: 2013-01-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
McLachlan, Michael S.
By organisation
Department of Applied Environmental Science (ITM)
In the same journal
Journal of Environmental Health Perspectives
Environmental SciencesEcology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 22 hits
ReferencesLink to record
Permanent link

Direct link