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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

  • OECD FORD obor

    10406 - Analytical chemistry

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LM2018100" target="_blank" >LM2018100: Infrastruktura pro propagaci metrologie v potravinářství a výživě v České republice</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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