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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989592:15310/20:73598556

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10406 - Analytical chemistry

Projekt

<a href="/cs/project/EF16_019%2F0000868" target="_blank" >EF16_019/0000868: Molekulární, buněčný a klinický přístup ke zdravému stárnutí</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Phytochemical Analysis

ISSN

0958-0344

e-ISSN

—

Svazek periodika

31

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

135-146

Kód UT WoS článku

000484274600001

EID výsledku v databázi Scopus

2-s2.0-85071360239