Science Inventory

Integration of Exposure NAMs to identify contaminants of emerging concern: A case study with the Minnesota Department of Health (APCRA 6)

Citation:

Isaacs, K. Integration of Exposure NAMs to identify contaminants of emerging concern: A case study with the Minnesota Department of Health (APCRA 6). Accelerating the Pace of Chemical Risk Assessment (APCRA) 6, NA, Virtual, October 14 - 15, 2021. https://doi.org/10.23645/epacomptox.16821064

Impact/Purpose:

This is a presentation to the 6th meeting of the Accelerating the Pace of Chemical Risk Assessment (APCRA) intergovernmental workgroup. The presentation is highlighting an example case study wherein exposure New Approach Methodologies are being used to inform regulatory workflows.

Description:

Characterization of exposure risk for chemicals found in the environment is a task that often exceeds the capacity of government agencies due to the sheer number of chemicals found in the environment. Often, a manual screening process is performed using scientifically sound approaches to prioritize chemicals for further assessment. The Minnesota Department of Health (MDH), under its Contaminants of Emerging Concern (CEC) initiative, uses a standardized process to screen potential contaminants based on exposure potential. Recently, MDH partnered with the U.S. EPA Office of Research and Development (ORD) to accelerate this process via development of an automated workflow to collect and report relevant exposure data, including New Approach Methodologies (NAMs) for exposure from ORD’s ExpoCast project and relevant chemical data found on ORD’s CompTox Chemicals Dashboard. The workflow pulls from 23 broad data sources, covering five domains: chemical identity and use, properties, emission and disposal, environmental occurrence, and human exposure. The collected data were used to score chemicals on exposure potential and data availability using quantitative algorithms previously developed by MDH (score range of 0-10 for exposure potential; 0-5 for data availability). A validation test, comparing the output to 88 manually screened chemicals, confirmed agreement between the processes in most data domains. The workflow will be used to screen large libraries of chemicals for potential interest to the MDH CEC program.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:10/15/2021
Record Last Revised:10/15/2021
OMB Category:Other
Record ID: 353042