All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Cannabis Metabolomic Data Processing: Challenges to be Addressed

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F21%3A43922646" target="_blank" >RIV/60461373:22330/21:43922646 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.chromatographyonline.com/view/cannabis-metabolomic-data-processing-challenges-to-be-addressed" target="_blank" >https://www.chromatographyonline.com/view/cannabis-metabolomic-data-processing-challenges-to-be-addressed</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cannabis Metabolomic Data Processing: Challenges to be Addressed

  • Original language description

    The interest in cannabis products is growing exponentially, because they are expected to provide a number of beneficial and therapeutic effects. Cannabis plants contain a number of unique biologically active secondary metabolites, with their pattern largely dependent not only on a respective variety or chemotype but also on several other factors. This article presents the challenges that arise during cannabis metabolomics analysis using ultrahigh-performance reversed‑phase liquid chromatography coupled with high-resolution tandem mass spectrometry (UHPLC–reversed‑phase–HRMS/MS). For this purpose, ethanolic extracts of two cannabis varieties were measured twice within one month and the obtained datasets were chemometrically analyzed with respect to the analysis date. Rather surprisingly, the effect of time variability was observed at the level of expression of relative abundance of features as well as in multivariate models, where not only variety clustering but also time-dependent clustering occurred. The data handling workflow, within time variability can be revealed and removed by advanced normalization method, is described.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

    <a href="/en/project/TN01000048" target="_blank" >TN01000048: Biorefining as circulation technology</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    LC GC Europe

  • ISSN

    1471-6577

  • e-ISSN

  • Volume of the periodical

    34

  • Issue of the periodical within the volume

    s10

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    5

  • Pages from-to

    11-15

  • UT code for WoS article

  • EID of the result in the Scopus database