Sample Preparation from Plant Tissue for Gas Chromatography–Mass Spectrometry (GC-MS)we

    Dagar, R and Gautam, A and Priscilla, K and Sharma, V and Gupta, Prateek and Kumar, Rakesh (2024) Sample Preparation from Plant Tissue for Gas Chromatography–Mass Spectrometry (GC-MS)we. In: Plant Functional Genomics Methods and Protocols. Methods in Molecular Biology, 2 . Humana New York, NY, pp. 19-37. ISBN 978-1-0716-3784-5

    Full text not available from this repository. (Request a copy)

    Abstract

    Metabolites are intermediate products formed during metabolism. Metabolites play different roles, including providing energy, supporting structure, transmitting signals, catalyzing reactions, enhancing defense, and interacting with other species. Plant metabolomics research aims to detect precisely all metabolites found within tissues of plants through GC-MS. This chapter primarily focuses on extracting metabolites using chemicals such as methanol, chloroform, ribitol, MSTFA, and TMCS. The metabolic analysis method is frequently used according to the specific kind of sample or matrix being investigated and the analysis objective. Chromatography (LC, GC, and CE) with mass spectrometry and NMR spectroscopy is used in modern metabolomics to analyze metabolites from plant samples. The most frequently used method for metabolites analysis is the GC-MS. It is a powerful technique that combines gas chromatography’s separation capabilities with mass spectrometry, offering detailed information, including structural identification of each metabolite. This chapter contains an easy-to-follow guide to extract plant-based metabolites. The current protocol provides all the information needed for extracting metabolites from a plant, precautions, and troubleshooting.

    Item Type: Book Section
    Divisions: Global Research Program - Accelerated Crop Improvement
    CRP: UNSPECIFIED
    Series Name: Methods in Molecular Biology
    Uncontrolled Keywords: Chromatogram, Derivatization, GC-MS, Metabolites, Plant tissue, Untargeted metabolomics
    Subjects: Others > Genetics and Genomics
    Depositing User: Mr Nagaraju T
    Date Deposited: 08 Sep 2025 03:33
    Last Modified: 08 Sep 2025 03:33
    URI: http://oar.icrisat.org/id/eprint/13317
    Acknowledgement: UNSPECIFIED
    Links:
    View Statistics

    Actions (login required)

    View Item View Item
    Altmetric
    OAR@ICRISAT is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.