首页|LC-MS-based untargeted metabolomics reveals chemical differences of Cannabis leaves from different regions of China
LC-MS-based untargeted metabolomics reveals chemical differences of Cannabis leaves from different regions of China
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NSTL
Elsevier
Cannabis sativa L. is an industrial and medicinal crop that originated in Eurasia. Its female inflorescence is usually used as a drug because of its high content of Delta(9)-tetrahydrocannabinol (Delta(9)-THC) and cannabidiol (CBD), while the stem and leaf have great potential as sustainable sources of fiber and fuel. In this study, we used an ultra-high performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UHPLC-QTOF MS)-based untargeted metabolomics strategy to profile the metabolome differences among those Cannabis leaves collected before flowering from Xinjiang, Qinghai and Sichuan Provinces. Kruskal-Wallis test, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were applied to compare and discover the chemical characterization of the collected samples. Finally, potential high-contribution features were identified as 13 flavonoids (including C-glycoside and O-glycoside) and 1 cannabinoid based on high resolution MS and MS/MS information, in which 4 flavonoids were unambiguously identified by reference standards. Cannabis leaves from Xinjiang and Qinghai accumulated higher flavonoid glucuronides, while flavonoid glycosides were more abundant in those from Sichuan. However, for the cannabinoids, such as Delta(9)-THC and CBD, there were no significant differences in leaves, even those samples shown difference genotypes. Our results indicating that flavonoids variation in Cannabis leaves has potential ability of chemotypic marker and geographical marker, and may improve the practical and economic value of Cannabis leaves.
NSTL
Elsevier
