Separation Science, in collaboration with Agilent, offers an on-demand symposium covering new methods in PFAS testing, featuring thought leaders from across the globe. One key talk available to watch is 'Uncovering Xenobiotics in Nontargeted Analyses using Ion Mobility Spectrometry, Mass Defect Analysis and Machine Learning' given by Erin S. Baker, Ph.D (Associate Professor, North Carolina State University, USA). Below is an outline of the presentation:
Format: On-demand Presentation
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. This presentation demonstrates 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.
Register to watch this presentation by clicking on the button below:
In addition, you'll also gain access to a series of presentations unique to this on-demand symposium:
Latest Regulations & Standards on PFAS Testing in the Materials Industry
Dr Yuhong Chen (Global Materials Segment, Applied Markets, Agilent Technologies)
Sampling and Analysis of Volatile PFAS in Air by TD-GC-MS
Carlos Gil (Business Development Manager, Markes International GmbH)
Streamlined PFAS Annotation and Visualization with FluoroMatch Flow and Visualizer
Stephen Baumann (Application Applied Segment Manager, Agilent Technologies)
Using Thermal Desorption and GC-MS/MS for the Analysis of PFAS Compounds in Air for Improved Detectability & Reliability
Kurt Thaxton (Gerstel)
