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

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 applie...

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Main Authors: Guo, D.-A (Author), Huang, Y. (Author), Li, J. (Author), Mei, Q. (Author), Wang, M. (Author), Wei, X. (Author), Xu, M. (Author), Yao, C. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02701nam a2200481Ia 4500
001 10.3390-molecules27072333
008 220425s2022 CNT 000 0 und d
020 |a 14203049 (ISSN) 
245 1 0 |a Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example 
260 0 |b NLM (Medline)  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/molecules27072333 
520 3 |a 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. 
650 0 4 |a chemistry 
650 0 4 |a Chinese medicine 
650 0 4 |a Chromatography, High Pressure Liquid 
650 0 4 |a Chromatography, Liquid 
650 0 4 |a Dalbergia 
650 0 4 |a Dalbergia 
650 0 4 |a Dalbergia odorifera 
650 0 4 |a Drugs, Chinese Herbal 
650 0 4 |a flavonoid 
650 0 4 |a flavonoid 
650 0 4 |a Flavonoids 
650 0 4 |a herbaceous agent 
650 0 4 |a high performance liquid chromatography 
650 0 4 |a liquid chromatography 
650 0 4 |a mass spectrometry 
650 0 4 |a mass spectrometry 
650 0 4 |a Mass Spectrometry 
650 0 4 |a Medicine, Chinese Traditional 
650 0 4 |a procedures 
650 0 4 |a software 
650 0 4 |a software 
650 0 4 |a Software 
700 1 |a Guo, D.-A.  |e author 
700 1 |a Huang, Y.  |e author 
700 1 |a Li, J.  |e author 
700 1 |a Mei, Q.  |e author 
700 1 |a Wang, M.  |e author 
700 1 |a Wei, X.  |e author 
700 1 |a Xu, M.  |e author 
700 1 |a Yao, C.  |e author 
773 |t Molecules (Basel, Switzerland)