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Separation and non-separation methods for the analysis of cannabinoids in Cannabis sativa L
- Publication Year :
- 2021
-
Abstract
- Cannabis sativa L. is a plant known all over the world, due to its history, bioactivity and also social impact. It is chemically complex with an astonishing ability in the biosynthesis of many secondary metabolites belonging to different chemical classes. Among them, cannabinoids are the most investigated ones, given their pharmacological relevance. In order to monitor the composition of the plant material and ensure the efficacy and safety of its derived products, extraction and analysis of cannabinoids play a crucial role. In this context, in addition to a conventional separation method based on HPLC with UV/DAD detection, a new strategy based on a non-separation procedure, such as 13C-qNMR, may offer several advantages, such as reduced solvent consumption and simultaneous acquisition of the quali/quantitative data related to many analytes. In the light of all the above, the aim of this work is to compare the efficiency of the above-mentioned analytical techniques for the study of the main cannabinoids in different samples of cannabis inflorescences, belonging to fibre-type, recreational and medical varieties. The 13C-qNMR method here proposed for the first time for the quantification of both psychoactive and non-psychoactive cannabinoids in different cannabis varieties provided reliable results in comparison to the more common and consolidated HPLC technique.
- Subjects :
- Analysis
Cannabinoids
Cannabis
Cannabis sativa L
HPLC
NMR
Chromatography
High Pressure Liquid
Plant Extracts
Hallucinogens
Clinical Biochemistry
Pharmaceutical Science
Context (language use)
Cannabis sativa
Analytical Chemistry
Plant Extract
Drug Discovery
Settore CHIM/01 - Chimica Analitica
Cannabi
Cannabinoid
Spectroscopy
Chromatography, High Pressure Liquid
biology
Traditional medicine
Chemistry
Social impact
Analysi
biology.organism_classification
Settore CHIM/08 - Chimica Farmaceutica
Separation method
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....9772ba93a594e956b1b541f85e41fdca