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A comprehensive quality evaluation strategy for ReDuNing injection by integrating UPLC-Orbitrap MS/MS profile and biological potency combined with multivariate statistical analysis.

Authors :
Qian M
Cao L
Wang J
Gu J
Ren G
He R
Chen X
Wang Z
Xiao W
Source :
Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2024 Nov 15; Vol. 250, pp. 116407. Date of Electronic Publication: 2024 Aug 08.
Publication Year :
2024

Abstract

Reduning injection (RDN) is a traditional chinese medicine injection widely used in clinical practice. In this study, qualitative and quantitative analysis of RDN were conducted by UPLC-Orbitrap MS/MS simultaneously. Totally 118 compounds were identified and 34 compounds were quantified in RDN. The method with completed method validation proved the high sensitivity and efficiency of the method and it was applied to quantify compounds in RDN. Multivariate statistical analysis method selected 11 key variables that affect the content consistency of RDN. 20 batches with high biological potency were screened by cox-2 enzyme activity assay. Spectrum-effect relationship analysis and multivariate statistical analysis showed that 7 batches were high-quality selected after comprehensive quality evaluation and 9 compounds were key indicators for screening it. This strategy including fingerprint, qualitative analysis and multiple-component quantification could be well applied to modern quality evaluation of RDN, which could be valuable for the further quality control of more other traditional Chinese medicines.<br />Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:, Wei xiao,mengyu qian, liang cao, xialin chen, jingqiu gu,zhenzhong wang has patent pending to wei xiao,mengyu qian, liang cao, xialin chen, jingqiu gu, zhenzhong wang. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-264X
Volume :
250
Database :
MEDLINE
Journal :
Journal of pharmaceutical and biomedical analysis
Publication Type :
Academic Journal
Accession number :
39151297
Full Text :
https://doi.org/10.1016/j.jpba.2024.116407