Annual Conference of the Metabolomics Society

LECO attended the 19th Annual Conference of the Metabolomics Society in Niagara Falls, 18–22 June 2023. Read below to learn more about their participation.

Multi-Platform Metabolomics Workflows

The role of modern day, high performance GC-MS as a vital, enhancing and complimentary tool

Held on Sunday, 18 June 2023, led by Joe Binkley, LECO Corporation, St. Joseph, MI, USA

The vast collection of metabolites present in biological systems, i.e. the metabolome, is chemically diverse. In discovery-based, untargeted metabolomics where the goal is to detect and annotate as many metabolites as possible, the use of complementary analytical platforms is extremely important.

No single analytical platform is capable of characterizing the degree of chemical diversity present in these types of samples on its own.  That is why it is important to employ multiple analytical techniques, such as GC-MS, LC-MS, and NMR to gain the greatest amount of information. This workshop focused on the importance of GC-MS workflows and their role in the non-targeted and semi-targeted investigation of primary and secondary metabolites in biological systems.

Access the Presentations 

  1. Introduction to Successful Experimental Design and QA/QC Principles for Metabolomics Catherine Winder, University of Liverpool, UK
  2. Introduction to GC-TOFMS and its importance in non-target and semi-target metabolomics workflows Luis Valdiviez, University of California (Davis), USA
  3. Critical Components of a Large-Scale GC-TOFMS Approach to Green (Plant) Metabolomics Workflows: From automated sample preparation to sophisticated statistical data processing Brian Ruddy, Corteva USA
  4. Comprehensive two-dimensional GC (GCxGC) examples for enriching numbers of species detected and annotated, in non-target and semi-target analyses where matrix complexity is high, and identification confidence can be aided Pierre-Hugues Stefanuto, University of Liege, Belgium
  5. Utilizing GCxGC with high resolution MS for discovery workflows – Strategies for unknown identification and overall increased confidence in compound annotation will be discussed, highlighting a multi-mode ionization source and important software tools David Alonso, LECO Corporation, Saint Joseph, MI, USA
  6. Addressing data analysis challenges involving large complex sample set studies Heather Bean, Arizona State University, USA

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