Feature-Based Molecular Network-Assisted Cannabinoid and Flavonoid Profiling of Cannabis sativa Leaves and Their Antioxidant Properties
Ling Chen | Hong-Ling Li | Hong-Juan Zhou | Guan-Zhong Zhang | Ying Zhang | You-Mei Wang | Meng-Yuan Wang | Hua Yang | Wen Gao | Hong-Ling
by Ling Chen 1 , Hong-Ling Li 1,2 , Hong-Juan Zhou 1,2 , Guan-Zhong Zhang 1,2 , Ying Zhang 3 , You-Mei Wang 4 , Meng-Yuan Wang 1 , Hua Yang 1,2,* and Wen Gao 1,2,* 1 State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China 2 China National Narcotics Control Commission—China Pharmaceutical University Joint Laboratory on Key Technologies of Narcotics Control, Nanjing 210009, China 3 Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China 4 Key Laboratory of Drug Monitoring and Control, Drug Intelligence and Forensic Center, Ministry of Public Security, Beijing 100193, China * Authors to whom correspondence should be addressed. The selected molecular network of cannabinoids and flavonoid glycosides in C. sativa leaves from five regions. Analysis results of correlation between antioxidant activity and compound content. Supplementary Materials The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antiox13060749/s1, Figure S1: PCR molecular identification results of different batches of C. sativa leaves; Figure S2: The results of extraction conditions investigated; Figure S3: MS/MS spectrum and fragment annotation of reference standards; Figure S4-1: Content distribution of total flavonoid glycosides in eight regions; Figure S4-2: Boxplots of cannabinoids in C. sativa samples from eight different regions; Table S1: Sample information of C. sativa leaves; Table S2: C. sativa sources for SQFBMN analysis and preparation of mixed samples; Table S3: Results of different solvent extraction efficiency for C. sativa leaves; Table S4: Results of different solvent volumes extraction efficiency for C. sativa leaves; Table S5: Results of different extraction times extraction efficiency for C. sativa leaves; Table S6: Results of complete extraction rate of C. sativa leaves; Table S7: Mass spectrometry parameters of 13 analytes and the IS; Table S8: Investigation of precision, repeatability, stability and recovery of 13 components from C. sativa leaves; Table S9: FBMN-based identification of cannabinoids and flavonoids in C. sativa leaves; Table S10: Investigation of regression equation, linear range, the limit of detection, and limit of quantification of 13 components in C. sativa leaves; Table S11: Determination results of 13 chemical constituents in C. sativa leaves; Table S12: The mean values (n = 3) of DPPH (mmol/L), ABTS (mmol/L) and FRAP (mmol/L) of 73 C. sativa leaves; Table S13: The correlation between content and total antioxidant activity in C. sativa leaves; Table S14: Correlation coefficient between quantitative components and activity in C. sativa leaves. [Google Scholar] [CrossRef] [PubMed] Wu, X.; Long, H.; Li, F.; Wu, W.; Zhou, J.; Liu, C.; Hou, J.; Wu, W.; Guo, D. Comprehensive feature-based molecular networking and metabolomics approaches to reveal the differences components in Cinnamomum cassia and Cinnamomum verum.