Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example

被引:5
作者
Wang, Mengyuan [1 ,2 ]
Yao, Changliang [1 ]
Li, Jiayuan [1 ]
Wei, Xuemei [1 ,2 ]
Xu, Meng [1 ]
Huang, Yong [1 ]
Mei, Quanxi [3 ]
Guo, De-an [1 ,2 ]
机构
[1] Chinese Acad Sci, Natl Engn Res Ctr TCM Standardizat Technol, Shanghai Inst Mat Med, 501 Haike Rd, Shanghai 201203, Peoples R China
[2] Univ Chinese Acad Sci, Sch Pharmaceut Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
[3] Shenzhen Baoan Authent TCM Therapy Hosp, Shenzhen 518101, Peoples R China
来源
MOLECULES | 2022年 / 27卷 / 07期
基金
中国国家自然科学基金;
关键词
software; mass spectrometry; flavonoid; Dalbergia odorifera; QUANTITATIVE-ANALYSIS; STRUCTURE ELUCIDATION; CHROMATOGRAPHY; PHYTOCHEMICALS; DECONVOLUTION; DECOCTION; STANDARDS; STRATEGY; DATABASE; FORMULA;
D O I
10.3390/molecules27072333
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The complexity of metabolites in traditional Chinese medicine (TCM) hinders the comprehensive profiling and accurate identification of metabolites. In this study, an approach that integrates enhanced column separation, mass spectrometry post-processing and result verification was proposed and applied in the identification of flavonoids in Dalbergia odorifera. Firstly, column chromatography fractionation, followed by liquid chromatography-tandem mass spectrometry was used for systematic separation and detection. Secondly, a three-level data post-processing method was applied to the identification of flavonoids. Finally, fragmentation rules were used to verify the flavonoid compounds. As a result, a total of 197 flavonoids were characterized in D. odorifera, among which seven compounds were unambiguously identified in level 1, 80 compounds were tentatively identified by MS-DIAL and Compound Discoverer in level 2a, 95 compounds were annotated by Compound discoverer and Peogenesis QI in level 2b, and 15 compounds were exclusively annotated by using SIRIUS software in level 3. This study provides an approach for the rapid and efficient identification of the majority of components in herbal medicines.
引用
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页数:15
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