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UHPLC Q-Orbitrap Mass Spectrometry-Based Molecular Networking for Identification of Chemical Constituents in the Multi-Herb Formula Runyan Mixture
[Image: see text] Traditional Chinese medicine (TCM) in-hospital preparations are approved for use only in the hospital where they are prepared. They are widely used in China because of their efficacy and affordable price. However, few researchers focused on their quality controls and treatment mech...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947948/ https://www.ncbi.nlm.nih.gov/pubmed/36844515 http://dx.doi.org/10.1021/acsomega.2c06885 |
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author | Zhang, Huihui Zhang, Yingzhi Li, Jiahao Fan, Chuanjiang Gu, Junjie Jin, Yinzhi Tong, Yingpeng |
author_facet | Zhang, Huihui Zhang, Yingzhi Li, Jiahao Fan, Chuanjiang Gu, Junjie Jin, Yinzhi Tong, Yingpeng |
author_sort | Zhang, Huihui |
collection | PubMed |
description | [Image: see text] Traditional Chinese medicine (TCM) in-hospital preparations are approved for use only in the hospital where they are prepared. They are widely used in China because of their efficacy and affordable price. However, few researchers focused on their quality controls and treatment mechanisms, for which a key consideration is the elucidation of their chemical composition. Runyan mixture (RY) is a typical in-hospital TCM preparation comprising a formula of eight herbal drugs used for adjuvant therapy of upper respiratory tract infections. The chemical constituents of formulated RY have not yet been elucidated. In the present work, RY was analyzed by a ultrahigh-performance liquid chromatography system equipped with high-resolution orbitrap mass spectrometry (MS). The acquired MS data were processed by MZmine and a feature-based molecular networking was constructed to identify the metabolites of RY. 165 compounds including 41 flavonoid O-glycosides, 11 flavonoid C-glycosides, 18 quinic acids, 54 coumaric acids, 11 iridoids, and 30 others were identified. This study demonstrates an efficient method to identify compounds in complex herbal drug mixtures using high-resolution MS and molecular networking tools which will support future research into quality controls and treatment mechanisms of in-hospital TCM preparations. |
format | Online Article Text |
id | pubmed-9947948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99479482023-02-24 UHPLC Q-Orbitrap Mass Spectrometry-Based Molecular Networking for Identification of Chemical Constituents in the Multi-Herb Formula Runyan Mixture Zhang, Huihui Zhang, Yingzhi Li, Jiahao Fan, Chuanjiang Gu, Junjie Jin, Yinzhi Tong, Yingpeng ACS Omega [Image: see text] Traditional Chinese medicine (TCM) in-hospital preparations are approved for use only in the hospital where they are prepared. They are widely used in China because of their efficacy and affordable price. However, few researchers focused on their quality controls and treatment mechanisms, for which a key consideration is the elucidation of their chemical composition. Runyan mixture (RY) is a typical in-hospital TCM preparation comprising a formula of eight herbal drugs used for adjuvant therapy of upper respiratory tract infections. The chemical constituents of formulated RY have not yet been elucidated. In the present work, RY was analyzed by a ultrahigh-performance liquid chromatography system equipped with high-resolution orbitrap mass spectrometry (MS). The acquired MS data were processed by MZmine and a feature-based molecular networking was constructed to identify the metabolites of RY. 165 compounds including 41 flavonoid O-glycosides, 11 flavonoid C-glycosides, 18 quinic acids, 54 coumaric acids, 11 iridoids, and 30 others were identified. This study demonstrates an efficient method to identify compounds in complex herbal drug mixtures using high-resolution MS and molecular networking tools which will support future research into quality controls and treatment mechanisms of in-hospital TCM preparations. American Chemical Society 2023-02-08 /pmc/articles/PMC9947948/ /pubmed/36844515 http://dx.doi.org/10.1021/acsomega.2c06885 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Zhang, Huihui Zhang, Yingzhi Li, Jiahao Fan, Chuanjiang Gu, Junjie Jin, Yinzhi Tong, Yingpeng UHPLC Q-Orbitrap Mass Spectrometry-Based Molecular Networking for Identification of Chemical Constituents in the Multi-Herb Formula Runyan Mixture |
title | UHPLC Q-Orbitrap
Mass Spectrometry-Based Molecular
Networking for Identification of Chemical Constituents in the Multi-Herb
Formula Runyan Mixture |
title_full | UHPLC Q-Orbitrap
Mass Spectrometry-Based Molecular
Networking for Identification of Chemical Constituents in the Multi-Herb
Formula Runyan Mixture |
title_fullStr | UHPLC Q-Orbitrap
Mass Spectrometry-Based Molecular
Networking for Identification of Chemical Constituents in the Multi-Herb
Formula Runyan Mixture |
title_full_unstemmed | UHPLC Q-Orbitrap
Mass Spectrometry-Based Molecular
Networking for Identification of Chemical Constituents in the Multi-Herb
Formula Runyan Mixture |
title_short | UHPLC Q-Orbitrap
Mass Spectrometry-Based Molecular
Networking for Identification of Chemical Constituents in the Multi-Herb
Formula Runyan Mixture |
title_sort | uhplc q-orbitrap
mass spectrometry-based molecular
networking for identification of chemical constituents in the multi-herb
formula runyan mixture |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947948/ https://www.ncbi.nlm.nih.gov/pubmed/36844515 http://dx.doi.org/10.1021/acsomega.2c06885 |
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