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Authentication of Shenqi Fuzheng Injection via UPLC-Coupled Ion Mobility—Mass Spectrometry and Chemometrics with Kendrick Mass Defect Filter Data Mining

Nearly 5% of the Shenqi Fuzheng Injection’s dry weight comes from the secondary metabolites of Radix codonopsis and Radix astragali. However, the chemical composition of these metabolites is still vague, which hinders the authentication of Shenqi Fuzheng Injection (SFI). Ultra-high performance liqui...

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Autores principales: Wu, Xingdong, Liu, Yaowen, Zhang, Zijia, Ou, Zhihuang, Wang, Guoxiang, Zhang, Tengqian, Long, Huali, Lei, Min, Liu, Liangfeng, Huang, Wenhua, Hou, Jinjun, Wu, Wanying, Guo, De-an
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330873/
https://www.ncbi.nlm.nih.gov/pubmed/35897909
http://dx.doi.org/10.3390/molecules27154734
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author Wu, Xingdong
Liu, Yaowen
Zhang, Zijia
Ou, Zhihuang
Wang, Guoxiang
Zhang, Tengqian
Long, Huali
Lei, Min
Liu, Liangfeng
Huang, Wenhua
Hou, Jinjun
Wu, Wanying
Guo, De-an
author_facet Wu, Xingdong
Liu, Yaowen
Zhang, Zijia
Ou, Zhihuang
Wang, Guoxiang
Zhang, Tengqian
Long, Huali
Lei, Min
Liu, Liangfeng
Huang, Wenhua
Hou, Jinjun
Wu, Wanying
Guo, De-an
author_sort Wu, Xingdong
collection PubMed
description Nearly 5% of the Shenqi Fuzheng Injection’s dry weight comes from the secondary metabolites of Radix codonopsis and Radix astragali. However, the chemical composition of these metabolites is still vague, which hinders the authentication of Shenqi Fuzheng Injection (SFI). Ultra-high performance liquid chromatography with a charged aerosol detector was used to achieve the profiling of these secondary metabolites in SFI in a single chromatogram. The chemical information in the chromatographic profile was characterized by ion mobility and high-resolution mass spectrometry. Polygonal mass defect filtering (PMDF) combined with Kendrick mass defect filtering (KMDF) was performed to screen potential secondary metabolites. A total of 223 secondary metabolites were characterized from the SFI fingerprints, including 58 flavonoids, 71 saponins, 50 alkaloids, 30 polyene and polycynes, and 14 other compounds. Among them, 106 components, mainly flavonoids and saponins, are contributed by Radix astragali, while 54 components, mainly alkaloids and polyene and polycynes, are contributed by Radix codonopsis, with 33 components coming from both herbs. There were 64 components characterized using the KMDF method, which increased the number of characterized components in SFI by 28.70%. This study provides a solid foundation for the authentification of SFIs and the analysis of its chemical composition.
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spelling pubmed-93308732022-07-29 Authentication of Shenqi Fuzheng Injection via UPLC-Coupled Ion Mobility—Mass Spectrometry and Chemometrics with Kendrick Mass Defect Filter Data Mining Wu, Xingdong Liu, Yaowen Zhang, Zijia Ou, Zhihuang Wang, Guoxiang Zhang, Tengqian Long, Huali Lei, Min Liu, Liangfeng Huang, Wenhua Hou, Jinjun Wu, Wanying Guo, De-an Molecules Article Nearly 5% of the Shenqi Fuzheng Injection’s dry weight comes from the secondary metabolites of Radix codonopsis and Radix astragali. However, the chemical composition of these metabolites is still vague, which hinders the authentication of Shenqi Fuzheng Injection (SFI). Ultra-high performance liquid chromatography with a charged aerosol detector was used to achieve the profiling of these secondary metabolites in SFI in a single chromatogram. The chemical information in the chromatographic profile was characterized by ion mobility and high-resolution mass spectrometry. Polygonal mass defect filtering (PMDF) combined with Kendrick mass defect filtering (KMDF) was performed to screen potential secondary metabolites. A total of 223 secondary metabolites were characterized from the SFI fingerprints, including 58 flavonoids, 71 saponins, 50 alkaloids, 30 polyene and polycynes, and 14 other compounds. Among them, 106 components, mainly flavonoids and saponins, are contributed by Radix astragali, while 54 components, mainly alkaloids and polyene and polycynes, are contributed by Radix codonopsis, with 33 components coming from both herbs. There were 64 components characterized using the KMDF method, which increased the number of characterized components in SFI by 28.70%. This study provides a solid foundation for the authentification of SFIs and the analysis of its chemical composition. MDPI 2022-07-24 /pmc/articles/PMC9330873/ /pubmed/35897909 http://dx.doi.org/10.3390/molecules27154734 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
Wu, Xingdong
Liu, Yaowen
Zhang, Zijia
Ou, Zhihuang
Wang, Guoxiang
Zhang, Tengqian
Long, Huali
Lei, Min
Liu, Liangfeng
Huang, Wenhua
Hou, Jinjun
Wu, Wanying
Guo, De-an
Authentication of Shenqi Fuzheng Injection via UPLC-Coupled Ion Mobility—Mass Spectrometry and Chemometrics with Kendrick Mass Defect Filter Data Mining
title Authentication of Shenqi Fuzheng Injection via UPLC-Coupled Ion Mobility—Mass Spectrometry and Chemometrics with Kendrick Mass Defect Filter Data Mining
title_full Authentication of Shenqi Fuzheng Injection via UPLC-Coupled Ion Mobility—Mass Spectrometry and Chemometrics with Kendrick Mass Defect Filter Data Mining
title_fullStr Authentication of Shenqi Fuzheng Injection via UPLC-Coupled Ion Mobility—Mass Spectrometry and Chemometrics with Kendrick Mass Defect Filter Data Mining
title_full_unstemmed Authentication of Shenqi Fuzheng Injection via UPLC-Coupled Ion Mobility—Mass Spectrometry and Chemometrics with Kendrick Mass Defect Filter Data Mining
title_short Authentication of Shenqi Fuzheng Injection via UPLC-Coupled Ion Mobility—Mass Spectrometry and Chemometrics with Kendrick Mass Defect Filter Data Mining
title_sort authentication of shenqi fuzheng injection via uplc-coupled ion mobility—mass spectrometry and chemometrics with kendrick mass defect filter data mining
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330873/
https://www.ncbi.nlm.nih.gov/pubmed/35897909
http://dx.doi.org/10.3390/molecules27154734
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