Science Inventory

Exposure Research in EPA’s Chemical Safety for Sustainability Research Program


Wambaugh, J. AND K. Isaacs. Exposure Research in EPA’s Chemical Safety for Sustainability Research Program. ACC LRI SST Science Discussion, Research Triangle Park,NC, October 03, 2017.


We are going to hold our LRI SST meeting in RTP on Oct 3-4. (We will be meeting at the Solution Center, right off of Page Road - 1101 Slater Rd. Brighton Hall, Suite 200, Durham, NC 27703). We’d like to invite you and key NCCT and NERL exposure scientists to join the LRI SST meeting on Oct 3 from 2:00 to 4:30 for our exposure science discussion agenda item. ScitoVation scientists will also participate. • I envision this session leading off with a presentation on PLETHEM from ScitoVation, followed by presentations from NCCT and NERL. • The NCCT and NERL presentations could be the same or similar to the ones made at the August 14 meeting with EPA. • Then we would follow these presentations with a roundtable discussion. 20 minute presentations by 4 speakers (2 ScitoVation + 2 EPA scientists) would give us close to an hour for discussion The goal is to help our LRI SST members identify LRI projects that have the potential to make the most impact - consistent with our strategic goals of improving the understanding of consumer exposures and advancing risk-based decision making in product stewardship and TSCA (and other regulatory programs) Thanks for considering this request. I would appreciate if you could get back to me by mid-week (say 9/20) to let me know if you’ll be able to participate so that I can finalize the LRI SST meeting agenda.


Estimates of human and ecological exposures are required as critical input to risk-based prioritization and screening of chemicals. This project seeks to develop the data, tools, and evaluation approaches required to generate rapid and scientifically-defensible exposure predictions for the full universe of existing and proposed commercial chemicals. This project further seeks to develop the data, tools, and evaluation approaches required to relate bioactive concentrations identified in the High Throughput Hazard project to predicted real world doses (i.e. in vitro-in vivo extrapolation). Rapid prediction of chemical exposure and bioactive doses allows prioritization based upon risk of adverse outcomes due to environmental chemical exposure. The chemical exposures and potentially hazardous doses predicted by this project will ultimately be used by the Demonstration and Evaluation project to support Agency chemical safety assessments. In a 2009 commentary in Environmental Health Perspectives, Shelden and Hubal proposed that “Novel statistical and informatic approaches should be applied to extant exposure data to facilitate the identifica¬tion of critical metrics that represent personal exposure through time, place, life stage, life¬style, or behavior.” Recently this ideas have been implemented by the Systematic Empirical Evaluation of Models (SEEM), in which the (forward model) predictions of high throughput exposure model are compared with inferred (reverse model) exposures from monitoring data (which typically covers only a subset of the overall chemicals of interest). The calibration and variance between predicted and inferred exposures gives an estimate of both the predictive ability of the model and the empirical uncertainty (95% credible interval). We apply this calibration and uncertainty to all chemicals that can be forward predicted. The SEEM framework was described in Wambaugh et al. (2013) in Environmental Science and Technology.



Record Details:

Product Published Date: 10/03/2017
Record Last Revised: 07/09/2018
OMB Category: Other
Record ID: 341473