Overview

The identification of xenobiotics in nontargeted analyses is a vital step in understanding human exposure. Xenobiotic metabolism, excretion, and co-existence with other endogenous molecules however greatly complicates nontargeted studies. While mass spectrometry (MS)-based platforms are commonly used in these measurements, deconvoluting endogenous metabolites and xenobiotics is often challenged by the lack of xenobiotic parent and metabolite standards as well as the numerous isomers possible for each m/z feature. This presentation will demonstrate how combining mass defect analysis, machine learning and liquid chromatography, ion mobility spectrometry and mass spectrometry (LC-IMS-MS) separations enables an in-depth understanding of molecular responses occurring due to chemical exposures.

By watching this presentation you will learn about:

  • The power of multidimensional LC-IMS-MS platforms for nontargeted analyses.
  • The utility of multidimensional libraries for narrowing down potential feature identifications.
  • LC-IMS-MS capabilities for improving the detection, identification and validation of endogenous and xenobiotic features.

Presenter
ErinBaker_200Erin S. Baker is an Associate Professor at North Carolina State University in Raleigh, NC. To date, she has published over 140 peer-reviewed papers utilizing ion mobility spectrometry in conjunction with mass spectrometry (IMS-MS) to study both environmental and biological systems. She has received seven US patents, two R&D 100 Awards, been named to the Analytical Scientist 2019 and 2021 Top 100 Power Lists, aided in the commercialization of the Agilent 6560 IMS-QTOF MS, and was a recipient of the 2016 ACS Rising Star Award for Top Midcareer Women Chemists.

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