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DOI | 10.1021/es400482g |
High-Throughput Models for Exposure-Based Chemical Prioritization in the Expo Cast Project | |
Wambaugh, John F.1; Setzer, R. Woodrow1; Reif, David M.1; Gangwal, Sumit1; Mitchell-Blackwood, Jade2; Arnot, Jon A.3,4; Joliet, Olivier5; Frame, Alicia1,6; Rabinowitz, James1; Knudsen, Thomas B.1; Judson, Richard S.1; Egeghy, Peter2; Vallero, Daniel2; Hubal, Elaine A. Cohen1 | |
发表日期 | 2013-08-06 |
ISSN | 0013-936X |
卷号 | 47期号:15页码:8479-8488 |
英文摘要 | The United States Environmental Protection Agency (U.S. EPA) must characterize potential risks to human health and the environment associated with manufacture and use of thousands of chemicals. High-throughput screening (HTS) for biological activity allows the ToxCast research program to prioritize chemical inventories for potential hazard. Similar capabilities for estimating exposure potential would support rapid risk-based prioritization for chemicals with limited information; here, we propose a framework for high-throughput exposure assessment. To demonstrate application, an analysis was conducted that predicts human exposure potential for chemicals and estimates uncertainty in these predictions by comparison to biomonitoring data. We evaluated 1936 chemicals using far-field mass balance human exposure models (USEtox and RAIDAR) and an indicator for indoor and/or consumer use. These predictions were compared to exposures inferred by Bayesian analysis from urine concentrations for 82 chemicals reported in the National Health and Nutrition Examination Survey (NHANES). Joint regression on all factors provided a calibrated consensus prediction, the variance of which serves as an empirical determination of uncertainty for prioritization on absolute exposure potential. Information on use was found to be most predictive; generally, chemicals above the limit of detection in NHANES had consumer/indoor use. Coupled with hazard HTS, exposure HTS can place risk earlier in decision processes. High-priority chemicals become targets for further data collection. |
语种 | 英语 |
WOS记录号 | WOS:000323013400050 |
来源期刊 | ENVIRONMENTAL SCIENCE & TECHNOLOGY |
来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/61067 |
作者单位 | 1.US EPA, Natl Ctr Computat Toxicol, Res Triangle Pk, NC 27711 USA; 2.US EPA, Natl Exposure Res Lab, Off Res & Dev, Res Triangle Pk, NC 27711 USA; 3.ARC, Toronto, ON M4M 1W4, Canada; 4.Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada; 5.Univ Michigan, Sch Publ Heath, Ann Arbor, MI 48109 USA; 6.ORISE, Oak Ridge, TN 37830 USA |
推荐引用方式 GB/T 7714 | Wambaugh, John F.,Setzer, R. Woodrow,Reif, David M.,et al. High-Throughput Models for Exposure-Based Chemical Prioritization in the Expo Cast Project[J]. 美国环保署,2013,47(15):8479-8488. |
APA | Wambaugh, John F..,Setzer, R. Woodrow.,Reif, David M..,Gangwal, Sumit.,Mitchell-Blackwood, Jade.,...&Hubal, Elaine A. Cohen.(2013).High-Throughput Models for Exposure-Based Chemical Prioritization in the Expo Cast Project.ENVIRONMENTAL SCIENCE & TECHNOLOGY,47(15),8479-8488. |
MLA | Wambaugh, John F.,et al."High-Throughput Models for Exposure-Based Chemical Prioritization in the Expo Cast Project".ENVIRONMENTAL SCIENCE & TECHNOLOGY 47.15(2013):8479-8488. |
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