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Technology Networks explores the science that matters to you, providing access to the latest scientific news, products, research, videos and posters.Technology Networks is part of LabX Media Group, which also owns Lab Manager, LabX, and The Scientist. Technology Networks offer today's scientist a single resource that contains unique, engaging, and entertaining content from their field of research.
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Flow Injection Analysis-Magnetic Resonance Mass Spectrometry for High-Throughput Metabolomics

RECORD | Already taken place We, 7.4.2021
This webinar will introduce the FIA-MRMS workflow and present two case studies where it is used.
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Technology Networks: Flow Injection Analysis-Magnetic Resonance Mass Spectrometry for High-Throughput Metabolomics
Technology Networks: Flow Injection Analysis-Magnetic Resonance Mass Spectrometry for High-Throughput Metabolomics

Untargeted metabolomics is the measure of all metabolites in a system, which is increasingly recognized as a tool for biomarker discovery. Flow injection analysis (FIA)-mass spectrometry (MS) is a valuable platform for untargeted metabolomics, however this technique requires high-resolution MS to resolve complex samples without front-end separation.

We integrated Magnetic Resonance Mass Spectrometry (MRMS) with automated FIA to create a high-throughput metabolomics platform that rapidly acquires large sample sets and identifies metabolites with sub-ppm accuracy. FIA-MRMS requires only five minutes of analysis time per sample and detects thousands of metabolite features with exceptional reproducibility.

This webinar will introduce the FIA-MRMS workflow and present two case studies where it is used: to determine changes in blood plasma metabolites in obese and Type II diabetic mice, and to profile human-induced pluripotent stem cell-derived cardiomyocytes (hPSC-CMs).

In this webinar you will learn about:

  • Implementation of FIA-MRMS, MRMS aXelerate, to achieve reproducible and high-throughput metabolomics
  • Utilization of high-resolution MS for the analysis of complex biological samples without the need of liquid chromatography separation
  • Implementation of the workflow to investigate metabolic changes in biological samples

Presenter: Elizabeth F. Bayne (Research Assistant / PhD Student, Ying Ge Lab, Department of Chemistry, University of Wisconsin – Madison)

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