Science Inventory

Application of U.S. EPA’s Web-based Interspecies Correlation Estimation (Web-ICE) under the Toxic Substances Control Act (TSCA)

Citation:

Koehrn, K., Sandy Raimondo, J. Bressette, AND K. Eisenreich. Application of U.S. EPA’s Web-based Interspecies Correlation Estimation (Web-ICE) under the Toxic Substances Control Act (TSCA). SETAC North America 43rd Annual Meeting, Pittsburgh, PA, November 13 - 17, 2022.

Impact/Purpose:

This poster presents the application of ORD's Web-based Interspecies Correlation Extrapolation (Web-ICE) models in TSCA chemical evaluations as performed by OPPT. This presentation at the annual meeting of the Society of Environmental Toxicology and Chemistry will provide an opportunity for peer review of OPPT's process for integrating Web-ICE as a new approach methodology in TSCA chemical evaluations.

Description:

Without minimum data requirements under TSCA, EPA/OPPT often conducts risk evaluations using limited empirical toxicity data. A modeling approach, Web-based Interspecies Correlation Estimation (Web-ICE), predicts toxicity values for environmental species that are absent from a dataset and can provide a more robust dataset to estimate toxicity thresholds. Web-ICE is an online tool that estimates acute toxicity values for aquatic and terrestrial species using surrogate species data and least squared regressions. Each ICE model represents the relationship of inherent sensitivity between a surrogate species (represented by the x-axis) and a predicted taxon (species, genus, or family represented by the y-axis). Web-ICE models use surrogate species sensitivity as an input to estimate the sensitivity of all available taxa. The goal of this work is to compare methods for calculating hazard thresholds for aquatic species with and without Web-ICE predictions.

URLs/Downloads:

https://pittsburgh.setac.org/   Exit EPA's Web Site

Record Details:

Record Type:DOCUMENT( PRESENTATION/ POSTER)
Product Published Date:11/17/2022
Record Last Revised:11/25/2022
OMB Category:Other
Record ID: 356298