Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Mengyuan, Yao, Changliang, Li, Jiayuan, Wei, Xuemei, Xu, Meng, Huang, Yong, Mei, Quanxi, Guo, De-an
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000885/
https://www.ncbi.nlm.nih.gov/pubmed/35408733
http://dx.doi.org/10.3390/molecules27072333
_version_ 1784685547307925504
author Wang, Mengyuan
Yao, Changliang
Li, Jiayuan
Wei, Xuemei
Xu, Meng
Huang, Yong
Mei, Quanxi
Guo, De-an
author_facet Wang, Mengyuan
Yao, Changliang
Li, Jiayuan
Wei, Xuemei
Xu, Meng
Huang, Yong
Mei, Quanxi
Guo, De-an
author_sort Wang, Mengyuan
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9000885
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-90008852022-04-12 Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example Wang, Mengyuan Yao, Changliang Li, Jiayuan Wei, Xuemei Xu, Meng Huang, Yong Mei, Quanxi Guo, De-an Molecules Article 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. MDPI 2022-04-04 /pmc/articles/PMC9000885/ /pubmed/35408733 http://dx.doi.org/10.3390/molecules27072333 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Mengyuan
Yao, Changliang
Li, Jiayuan
Wei, Xuemei
Xu, Meng
Huang, Yong
Mei, Quanxi
Guo, De-an
Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example
title Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example
title_full Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example
title_fullStr Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example
title_full_unstemmed Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example
title_short Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example
title_sort software assisted multi-tiered mass spectrometry identification of compounds in traditional chinese medicine: dalbergia odorifera as an example
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000885/
https://www.ncbi.nlm.nih.gov/pubmed/35408733
http://dx.doi.org/10.3390/molecules27072333
work_keys_str_mv AT wangmengyuan softwareassistedmultitieredmassspectrometryidentificationofcompoundsintraditionalchinesemedicinedalbergiaodoriferaasanexample
AT yaochangliang softwareassistedmultitieredmassspectrometryidentificationofcompoundsintraditionalchinesemedicinedalbergiaodoriferaasanexample
AT lijiayuan softwareassistedmultitieredmassspectrometryidentificationofcompoundsintraditionalchinesemedicinedalbergiaodoriferaasanexample
AT weixuemei softwareassistedmultitieredmassspectrometryidentificationofcompoundsintraditionalchinesemedicinedalbergiaodoriferaasanexample
AT xumeng softwareassistedmultitieredmassspectrometryidentificationofcompoundsintraditionalchinesemedicinedalbergiaodoriferaasanexample
AT huangyong softwareassistedmultitieredmassspectrometryidentificationofcompoundsintraditionalchinesemedicinedalbergiaodoriferaasanexample
AT meiquanxi softwareassistedmultitieredmassspectrometryidentificationofcompoundsintraditionalchinesemedicinedalbergiaodoriferaasanexample
AT guodean softwareassistedmultitieredmassspectrometryidentificationofcompoundsintraditionalchinesemedicinedalbergiaodoriferaasanexample