We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement
Flow Injection Analysis-Magnetic Resonance Mass Spectrometry for High-Throughput Metabolomics
Webinar

Flow Injection Analysis-Magnetic Resonance Mass Spectrometry for High-Throughput Metabolomics

Flow Injection Analysis-Magnetic Resonance Mass Spectrometry for High-Throughput Metabolomics
Webinar

Flow Injection Analysis-Magnetic Resonance Mass Spectrometry for High-Throughput Metabolomics

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

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
Advertisement