Metabolomics Industry Resources
Metabolomics presents challenges from sample introduction to the analytical methods used, and the data reduction required to interpret the results. No single analytical technique can be used for complete characterization of the metabolome, and no metabolome has ever been completely characterized.
Despite these challenges, LECO’s just-in-time derivatizer coupled with the Gas Chromatography Mass Spectrometers (GC-MS) provides an established method to introduce samples into the GC-MS and analyze the primary metabolome, whereas other techniques simply investigate the secondary and tertiary metabolites. One of the principal challenges in metabolomics is the detection and identification of unknowns; you need to know what else is in your sample to successfully characterize it, and our GC-MS solutions give you a clear advantage. Our solutions have a robust automated derivatization and sample introductory method, separation, accuracy, resolving power, deconvolution, and speed to characterize the most complex metabolite profiles.
Instrument Portfolio
![Pegasus High-Resolution Gas Chromatograph](https://lecocorp.ams3.digitaloceanspaces.com/wp-content/uploads/20240102153325/pegasus-highresolution-gcms.jpg)
High Resolution GC-TOFMS
![Pegasus High Resolution two-dimensional gas chromatograph](https://lecocorp.ams3.digitaloceanspaces.com/wp-content/uploads/20240102153318/pegasus-highresolution-gcxgc.jpg)
High Resolution GCxGC-TOFMS
![Pegasus Two-Dimensional Gas Chromatograph](https://lecocorp.ams3.digitaloceanspaces.com/wp-content/uploads/20240102153326/pegasus-gcxgc.jpg)
GCxGC Time-of-Flight Mass Spectrometer
Application Notes
Learn more about our solutions for Metabolomics with our library of related application notes.
203-821-662 | A Comprehensive GC-TOFMS Metabolomics Workflow Early Type 2 Diabetes prediction can be facilitated by the implementation of a metabolomics method for the identification of T2DM biomarkers. A complete automated derivatization workflow is explored. |
203-821-502 | High-Resolution GCxGC for Improved Yeast Metabolite Characterization |
203-821-561 | Introduction to Simply GCxGC An Online Guide for Optimizing Comprehensive Two Dimensional GC Separations |
203-821-569 | StayClean Ion Source Stability |
203-821-526 | Metabolomic Profiling of Corn and Rice Extracts Using a Benchtop GC-TOFMS |
News or Stories
Learn how Jane Hill is using GCxGC and the study of metabolomics to develop a new method of diagnosing lung infections.
Using GC-GC-TOFMS, Jef Focant is able to diagnose the asthma phenotype in patients.
Videos and Webinars
- 1Breath Analysis – Investigating the Human Volatome From 7 February 2022
- 2Science from Beyond the Grave: a Virtual GC Symposium From 31 October 2021
- 3Dramatically Increase Information Content in Metabolomics Studies From 24 October 2013
- 4High Resolution GCMS Applications in Metabolomics From 21 February 2013
- 5Small Molecule Metabolite Profiling and Characterization From 16 June 2011
- 6Mold Metabolites From 17 February 2011
Posters and Presentations
- Fisher ratio analysis for metabolite discovery in Pacu fish Tile-based Fisher ratio (F-ratio) analysis is used to discover and quantify metabolites in Argentinian pacu fish, using data collected by comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GCxGC-TOFMS) via a LECO Pegasus BT 4D instrument.
- Breath Volatile Compounds in Asthma Patients Jean-Francois Focant from the University of Liege (Belgium) discusses utilizing two-dimensional gas chromatography to study volatile compounds in breath samples of asthma patients.
- The Discovery of Potential Cancer Biomarkers in Human Plasma using GC- and GCxGC-TOFMS
- Metabolite Profiling Type-2 Diabetes Patient Plasma
- Steroid Method Development GCxGC-HRT+
- Disease Biomarker Identification via GC-MS Rodent liver samples were analyzed via GC-MS for Non-Alcoholic Fatty Liver Disease (NAFLD) biomarkers.