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NMR Spectroscopy Applied to the Metabolic Analysis of Natural Extracts of Cannabis sativa.
- Source :
- Molecules; Jun2022, Vol. 27 Issue 11, p3509-3509, 23p
- Publication Year :
- 2022
-
Abstract
- Cannabis sativa is a herbaceous multiple-use species commonly employed to produce fiber, oil, and medicine. It is now becoming popular for the high nutritional properties of its seed oil and for the pharmacological activity of its cannabinoid fraction in inflorescences. The present study aims to apply nuclear magnetic resonance (NMR) spectroscopy to provide useful qualitative and quantitative information on the chemical composition of seed and flower Cannabis extracts obtained by ultra-sound-assisted extraction, and to evaluate NMR as an alternative to the official procedure for the quantification of cannabinoids. The estimation of the optimal ω-6/ω-3 ratio from the <superscript>1</superscript>H NMR spectrum for the seed extracts of the Futura 75 variety and the quantitative results from the <superscript>1</superscript>H and <superscript>13</superscript>C NMR spectra for the inflorescence extracts of the Tiborszallasi and Kompolti varieties demonstrate that NMR technology represents a good alternative to classical chromatography, supplying sufficiently precise, sensitive, rapid, and informative data without any sample pre-treatment. In addition, different extraction procedures were tested and evaluated to compare the elaboration of spectral data with the principal component analysis (PCA) statistical method and the quantitative NMR results: the extracts obtained with higher polarity solvents (acetone or ethanol) were poor in psychotropic agents (THC < LOD) but had an appreciable percentage of both cannabinoids and triacylgliceroles (TAGs). These bioactive-rich extracts could be used in the food and pharmaceutical industries, opening new pathways for the production of functional foods and supplements. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14203049
- Volume :
- 27
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Molecules
- Publication Type :
- Academic Journal
- Accession number :
- 157372787
- Full Text :
- https://doi.org/10.3390/molecules27113509