Computational Toxicology and Exposure Communities of Practice: Semi-Quantitative Non-Targeted Analysis as a Rapid Risk Prioritization Tool: A Proof of Concept Using Activated Carbon Drinking Water Filters
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11:00 am - 12:00 pm EDT
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Topic: Semi-Quantitative Non-Targeted Analysis as a Rapid Risk Prioritization Tool: A Proof of Concept Using Activated Carbon Drinking Water Filters
Who: Dr. Louis Groff, ORISE Postdoctoral Researcher in the Center for Computational Toxicology and Exposure
When: April 22, 2021 from 11:00 AM- 12:00 PM EST
Where: Register using Eventbrite, information to join will be sent after registration.
For decades, targeted gas chromatography-mass spectrometry (GC-MS) methods have been used to carefully acquire measurement data in support of risk-based assessments of volatile and semi-volatile chemicals. While targeted measurements of known chemicals have supported most exposure studies, recent discoveries of new chemicals in diverse media samples have driven a shift towards broader-scope non-targeted analysis (NTA) methods.
To date, NTA methods have largely produced qualitative chemical screening results with little focus on quantitative interpretations. For NTA results to be most useful in a risk-based context, multi-step methods must be developed to estimate chemical concentrations in prepared solution (i.e., sample extracts) and ultimately in the original sampled media. Here, we illustrate a proof-of-concept risk-based prioritization using a mixture of 66 volatile and semi-volatile chemicals commonly found in drinking water, extracted from spiked activated carbon filters, and analyzed using GC high-resolution mass spectrometry (HRMS). This research serves as a model to focus larger NTA datasets on priority chemical lists for further targeted analysis and risk assessment.
This abstract does not necessarily reflect U.S. EPA policy.
For more information visit the EPA's Computational Toxicology Communities of Practice webpage