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Characterization of Metabolites From Medicago truncatula Using Gas Chromatography Mass Spectrometry—Addressing the Knowns and Unknowns Using High Resolution Time-of-Flight
EP23000
Poster Title: Characterization of Metabolites From Medicago truncatula Using Gas Chromatography Mass Spectrometry—Addressing the Knowns and Unknowns Using High Resolution Time-of-Flight
Submitted on 19 May 2015
Author(s): Joe Binkley, David Alonso, Jeff Patrick, David V. Huhman, Feng Qiu, Dennis Fine, and Lloyd W. Sumner
Affiliations: LECO Corporation, The Samuel Robert Noble Foundation
This poster was presented at ASMS 2014
Poster Views: 1,555
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Poster Information
Abstract: One of the principle challenges to metabolomic analyses is the identification of unknown analytes. Many studies report in excess of 60% of the analytes as unknown. Gas chromatography with mass spectrometry (GC-MS) has been a standard for metabolite analysis and historically relies on established databases for analyte identification. Nominal mass information, poor spectral quality, and limited databases have left many metabolites as poorly identified or unidentified. Here, metabolites from M. truncatula extracts are characterized using GC with high resolution time-of-flight (HRT) mass spectral detection. The combination of high resolution/accurate mass with either EI-MS (library matching and classification) or CI-MS (molecular formula assignment) was used to elucidate or confirm metabolite identities. This ultimately improves the biological context of the metabolomics experiments and provides the key information to determine what else is in your samples.Summary: Analyses of the M. truncatula extracts were performed, and data processing focused on qualitative analyses. This provided the opportunity for known analyte verification and unknown identification in a meaningful matrix and the demonstration of the key attributes and benefits of GC-HRT.Report abuse »
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