Science Inventory

20190825 - US-EPA Comptox Chemicals Dashboard to support mass spectrometry targeted and non-targeted analysis(ACS Fall 2019)

Citation:

Williams, A., A. Chao, T. Transue, T. Cathey, E. Ulrich, AND J. Sobus. 20190825 - US-EPA Comptox Chemicals Dashboard to support mass spectrometry targeted and non-targeted analysis(ACS Fall 2019). American Chemical Society Fall Meeting, San Diego, CA, August 25 - 29, 2019. https://doi.org/10.23645/epacomptox.9894173

Impact/Purpose:

Presentation to be given to the fall meeting of the American Chemical Society in August 2019. This presentation will provide an overview of our latest enhancements to the dashboard to support mass spectrometry based structure identification including utilizing predicted fragmentation spectral matching.

Description:

High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are advancing the identification of emerging contaminants in environmental matrices, improving the means by which exposure analyses can be conducted. However, confidence in structure identification of unknowns in NTA presents challenges to analytical chemists. Structure identification requires integration of complementary data types such as reference databases, fragmentation prediction tools, and retention time prediction models. The goal of this research is to optimize and implement structure identification functionality within the US EPA’s CompTox Chemicals Dashboard, an open chemistry resource and web application containing data for ~900,000 substances. Database searching using mass or formula-based inputs has been optimized for structure identification using MS-Ready Structures: de-salted, stripped of stereochemistry, and mixture separated to replicate the form of a chemical observed via HRMS. Functionality to conduct batch searching of molecular formulae and monoisotopic masses has also been implemented. This presentation will provide an overview of our latest enhancements to the dashboard to support mass spectrometry based structure identification including utilizing predicted fragmentation spectral matching. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

Record Details:

Record Type: DOCUMENT ( PRESENTATION/ SLIDE)
Product Published Date: 08/29/2019
Record Last Revised: 09/23/2019
OMB Category: Other
Record ID: 346759