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Characterization of cannabis metabolome using a gas chromatography high-resolution mass spectrometry (GC–HRMS) technique

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F22%3A43925281" target="_blank" >RIV/60461373:22330/22:43925281 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Characterization of cannabis metabolome using a gas chromatography high-resolution mass spectrometry (GC–HRMS) technique

  • Original language description

    Cannabis (Cannabis sativa L.) is a complex polymorphic plant species that has recently seen a tremendous resurgence of interest because of its application mainly in the pharmaceutical industry and medicine. In terms of chemical composition, this plant is a complex mixture of thousands of different substances; which together are responsible for unique biological effects on the human body. Therefore, it is necessary to study cannabis not only by means of target analysis to determine dominant phytocannabinoids but also to characterize the entire set of metabolites. The purpose of this study was to develop and optimize a method for the characterization of the cannabis metabolome using gas chromatography coupled to high-resolution mass spectrometry (GC-HRMS). The method development included testing different organic solvents and reagents for derivatization. Different derivatizing agents were tested with the aim to increase the volatilization/detectability of more polar substances with a higher boiling point and low thermostability and thus enable a more comprehensive evaluation of the entire metabolome. Finally, the most suitable combination (ethyl acetate – N-Methyl-N-(trimethylsilyl)trifluoroacetamide (MSTFA)) was chosen. The newly developed approach was applied to the real set of cannabis samples (n=19) of different varieties. The obtained data (metabolic fingerprints) was subjected to a chemometric analysis PCA followed by PLS-DA, which enabled the samples classification according to the varieties. Characteristic metabolites (&quot;markers&quot;) for individual cannabis varieties were selected and subsequently identified.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

    <a href="/en/project/LM2018100" target="_blank" >LM2018100: Infrastructure for Promoting Metrology in Food and Nutrition in the Czech Republic</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů