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Traceability of Cannabis DNA in Pastry

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F16%3A43910181" target="_blank" >RIV/62156489:43210/16:43910181 - 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

    Traceability of Cannabis DNA in Pastry

  • Original language description

    The cannabis plant is one of the economic plants providing fiber, seeds and aromatic resin. It produces different terpene phenolic compounds, including psychoactive INCREMENT 9-tetrahydrocannabinol (THC). Cannabis plants used for food production should not exceed 0.2% THC. The presence of THC in food can be detected by chemical or biological analytical methods. This study is dealing with biological method of DNA profiling to detect and identify cannabis DNA in pastry by three SSR (Simple Sequence Repeat) markers, also called microsatellites. Results confirmed the thermal degradation of DNA in food during baking process and the reliability and usefulness of SSR markers. CAN0110 and CAN1690B markers appeared to be well suited for assessing the presence or absence of cannabis in pastry, while ANUCS204 marker showed a potential for genotyping, to determine the variety and origin of included cannabis material in the future.

  • 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

    605-609

  • 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

    000392968500108