Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

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

Nahar, L, Guo, M and Sarker, SD Gas chromatographic analysis of naturally occurring cannabinoids: A review of literature published during the past decade. Phytochemical Analysis. ISSN 0958-0344 (Accepted)

[img] Text
Gas chromatographic analysis of naturally occurring cannabinoids A review of literature published during the past decade.pdf - Accepted Version
Restricted to Repository staff only

Download (729kB)

Abstract

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., GC-MS, is a popular analytical tool that has been used extensively to analyze 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 utilizing 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 1D GC-MS and GC-FID methods were found to be quite common in cannabinoids analysis, 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 optimization 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 ionization methods, and mathematical models for method optimization have been introduced.

Item Type: Article
Uncontrolled Keywords: 03 Chemical Sciences, 11 Medical and Health Sciences, 06 Biological Sciences
Subjects: R Medicine > RM Therapeutics. Pharmacology
R Medicine > RV Botanic, Thomsonian, and eclectic medicine
Divisions: Pharmacy & Biomolecular Sciences
Publisher: Wiley
Date Deposited: 15 Jul 2019 09:28
Last Modified: 15 Jul 2019 09:30
URI: http://researchonline.ljmu.ac.uk/id/eprint/11024

Actions (login required)

View Item View Item