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Selective Preparation and High Dynamic-Range Analysis of Cannabinoids in “CBD Oil” and Other Cannabis sativaPreparations

Authors :
Ohtsuki, Takashi
Friesen, J. Brent
Chen, Shao-Nong
McAlpine, James B.
Pauli, Guido F.
Source :
Journal of Natural Products; March 2022, Vol. 85 Issue: 3 p634-646, 13p
Publication Year :
2022

Abstract

Much confusion exists about the chemical composition of widely sold Cannabis sativaproducts that utilize the cannabidiol (CBD) acronym and related terms such as “CBD oil”, “CBD plus hemp oil”, “full spectrum CBD”, “broad spectrum CBD”, and “cannabinoids”. Their rational chemical and subsequent biological assessment requires both knowledge of the chemical complexity and the characterization of significant individual constituents. Applicable to hemp preparations in general, this study demonstrates how the combination of liquid–liquid-based separation techniques, NMR analysis, and quantum mechanical-based NMR interpretation facilitates the process of natural product composition analysis by allowing specific structural characterization and absolute quantitation of cannabinoids present in such products with a large dynamic range. Countercurrent separation of a commercial “CBD oil” yielded high-purity CBD plus a more polar cannabinoid fraction containing cannabigerol and cannabidivarin, as well as a less polar cannabinoid fraction containing cannabichromene, trans-Δ9-tetrahydrocannabinol, cis-Δ9-tetrahydrocannabinol, and cannabinol. Representatives of six cannabinoid classes were identified within a narrow range of polarity, which underscores the relevance of residual complexity in biomedical research on cannabinoids. Characterization of the individual components and their quantitation in mixed fractions were undertaken by TLC, HPLC, 1H (q)NMR spectroscopy, 1H iterative full spin analysis (HiFSA), 13C NMR, and 2D NMR. The developed workflow and resulting analytical data enhance the reproducible evaluation of “CBD et al.” products, which inevitably represent complex mixtures of varying molecular populations, structures, abundances, and polarity features.

Details

Language :
English
ISSN :
01633864 and 15206025
Volume :
85
Issue :
3
Database :
Supplemental Index
Journal :
Journal of Natural Products
Publication Type :
Periodical
Accession number :
ejs58647692
Full Text :
https://doi.org/10.1021/acs.jnatprod.1c00976