Establishment and Development of a Quality Evaluation Method for Sangbaipi Decoction.
Journal
Journal of AOAC International
ISSN: 1944-7922
Titre abrégé: J AOAC Int
Pays: England
ID NLM: 9215446
Informations de publication
Date de publication:
15 Mar 2022
15 Mar 2022
Historique:
received:
21
08
2020
revised:
05
03
2021
accepted:
12
04
2021
pubmed:
29
4
2021
medline:
18
3
2022
entrez:
28
4
2021
Statut:
ppublish
Résumé
Sangbaipi decoction (SD), a traditional Chinese "Ancient Classical Prescription" consisting of eight medicinal materials, is usually used to treat asthma due to excess lung Qi and phlegm fire. To establish a comprehensive quality evaluation method for SD. HPLC fingerprint analysis, hierarchical cluster analysis (HCA), and principal component analysis (PCA) were applied for the quality control of SD prepared from different batches of medicinal materials. A total of 10 batches of SD samples were prepared and analyzed. A total of 24 common peaks and six active components (gardenoside, rutin, berberine, palmatine, baicalein, and wogonin) were identified in the HPLC fingerprint of SD. The ten batches of SD samples were divided into four groups via HCA and PCA. The HPLC fingerprint similarities of the 10 batch samples were 0.934 or higher. The precision, stability, repeatability, and other methodological indexes suggested that the developed method met the requirements for qualitative fingerprint research. The results indicated that HPLC fingerprints combined with PCA and multicomponent determination can be successfully applied to SD quality control. This study also provides a basis for a more comprehensive quality evaluation method for SD. The fingerprint of SD, a TCM famous classical formula, was established by HPLC in this paper. Moreover, contents of six pharmacodynamic related components in SD were determined simultaneously in order to establish a comprehensive quality evaluation method of SD. This study can also provide a basis for raw material selection, quality evaluation, extraction process, preparation development and pharmacodynamic material basis research of SD.
Sections du résumé
BACKGROUND
BACKGROUND
Sangbaipi decoction (SD), a traditional Chinese "Ancient Classical Prescription" consisting of eight medicinal materials, is usually used to treat asthma due to excess lung Qi and phlegm fire.
OBJECTIVE
OBJECTIVE
To establish a comprehensive quality evaluation method for SD.
METHODS
METHODS
HPLC fingerprint analysis, hierarchical cluster analysis (HCA), and principal component analysis (PCA) were applied for the quality control of SD prepared from different batches of medicinal materials. A total of 10 batches of SD samples were prepared and analyzed.
RESULTS
RESULTS
A total of 24 common peaks and six active components (gardenoside, rutin, berberine, palmatine, baicalein, and wogonin) were identified in the HPLC fingerprint of SD. The ten batches of SD samples were divided into four groups via HCA and PCA. The HPLC fingerprint similarities of the 10 batch samples were 0.934 or higher. The precision, stability, repeatability, and other methodological indexes suggested that the developed method met the requirements for qualitative fingerprint research.
CONCLUSION
CONCLUSIONS
The results indicated that HPLC fingerprints combined with PCA and multicomponent determination can be successfully applied to SD quality control. This study also provides a basis for a more comprehensive quality evaluation method for SD.
HIGHLIGHTS
CONCLUSIONS
The fingerprint of SD, a TCM famous classical formula, was established by HPLC in this paper. Moreover, contents of six pharmacodynamic related components in SD were determined simultaneously in order to establish a comprehensive quality evaluation method of SD. This study can also provide a basis for raw material selection, quality evaluation, extraction process, preparation development and pharmacodynamic material basis research of SD.
Identifiants
pubmed: 33909887
pii: 6257442
doi: 10.1093/jaoacint/qsab065
doi:
Substances chimiques
Drugs, Chinese Herbal
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
558-566Subventions
Organisme : 13th five-year plan" Science and Technology Research Projects of the education department of Jilin Province
ID : jjkh20200904kj
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press on behalf of AOAC INTERNATIONAL. All rights reserved. For permissions, please email: journals.permissions@oup.com.