Cannabis Metabolomic Data Processing: Challenges to be Addressed

Kód výsledku v 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>

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

Cannabis Metabolomic Data Processing: Challenges to be Addressed

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Cannabis Metabolomic Data Processing: Challenges to be Addressed

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10406 - Analytical chemistry

Projekt

<a href="/cs/project/TN01000048" target="_blank" >TN01000048: Biorafinace jako oběhové technologie</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

LC GC Europe

ISSN

1471-6577

e-ISSN

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Svazek periodika

34

Číslo periodika v rámci svazku

s10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

5

Strana od-do

11-15

Kód UT WoS článku

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EID výsledku v databázi Scopus

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