Gas chromatographic analysis of naturally occurring cannabinoids: A review of literature published during the past decade

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389030%3A_____%2F20%3A00531071" target="_blank" >RIV/61389030:_____/20:00531071 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15310/20:73598556

Result on the web

<a href="http://doi.org/10.1002/pca.2886" target="_blank" >http://doi.org/10.1002/pca.2886</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/pca.2886" target="_blank" >10.1002/pca.2886</a>

Result language

angličtina

Original language name

Gas chromatographic analysis of naturally occurring cannabinoids: A review of literature published during the past decade

Original language description

Introduction: Cannabinoids are organic compounds, natural or synthetic, that bind to the cannabinoid receptors and have similar pharmacological properties as produced by the cannabis plant, Cannabis sativa. Gas chromatography (GC), e.g. gas chromatography mass spectrometry (GC–MS), is a popular analytical tool that has been used extensively to analyse cannabinoids in various matrices. Objective: To review published literature on the use of various GC-based analytical methods for the analysis of naturally occurring cannabinoids published during the past decade. Methodology: A comprehensive literature search was performed utilising several databases, like Web of Knowledge, PubMed and Google Scholar, and other relevant published materials including published books. The keywords used, in various combinations, with cannabinoids being present in all combinations, in the search were cannabinoids, Cannabis sativa, marijuana, analysis, GC, quantitative, qualitative and quality control. Results: During the past decade, several GC-based methods for the analysis of cannabinoids have been reported. While simple one-dimensional (1D) GC–MS and GC-FID (flame ionisation detector) methods were found to be quite common in cannabinoids analysis, two-dimensional (2D) GC–MS as well as GC–MS/MS also were popular because of their ability to provide more useful data for identification and quantification of cannabinoids in various matrices. Some degree of automation in sample preparation, and applications of mathematical and computational models for optimisation of different protocols were observed, and pre-analyses included various derivatisation techniques, and environmentally friendly extraction protocols. Conclusions: GC-based analysis of naturally occurring cannabinoids, especially using GC–MS, has dominated the cannabinoids analysis in the last decade, new derivatisation methods, new ionisation methods, and mathematical models for method optimisation have been introduced.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10406 - Analytical chemistry

Project

<a href="/en/project/EF16_019%2F0000868" target="_blank" >EF16_019/0000868: Molecular, cellular and clinical approach to healthy ageing</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Name of the periodical

Phytochemical Analysis

ISSN

0958-0344

e-ISSN

—

Volume of the periodical

31

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

135-146

UT code for WoS article

000484274600001

EID of the result in the Scopus database

2-s2.0-85071360239