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GC-FID Analysis of Food Samples Made of Hemp

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F16%3A43910180" target="_blank" >RIV/62156489:43210/16:43910180 - isvavai.cz</a>

  • Result on the web

    <a href="https://mnet.mendelu.cz/mendelnet2016/mnet_2016_full.pdf" target="_blank" >https://mnet.mendelu.cz/mendelnet2016/mnet_2016_full.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    GC-FID Analysis of Food Samples Made of Hemp

  • Original language description

    The aim of the work was to analyse different cannabinoids occurring in the food samples. The chromatographic data for the cannabinoids of interest namely tetrahydrocannabinol (THC), cannabidiol (CBD) and cannabinol (CBN) were determined using gas chromatography. Hemp seed powder, hemp oil and hemp protein in various degrees of concentration were used for the preparation of the food sample to be analysed. Hemp has a botanical relationship with drug/medicinal cannabis. Cannabis has psychotropic substances, which are wrongly attributed to hemp. The psychoactive compound THC was found in very low concentrations in the food samples.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    GM - Food industry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MendelNet 2016: Proceedings of International PhD Students Conference

  • ISBN

    978-80-7509-443-8

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    600-604

  • Publisher name

    Mendelova univerzita v Brně

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Nov 9, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000392968500107