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A novel process for developing a quantitative chromatographic fingerprint analysis method based on analytical quality by design: A case study of Xiaochaihu capsules.

Authors :
Ding, Feng
Liu, Sihan
Wu, Gelin
Qu, Haibin
Gong, Ping
Xie, Yongjian
Zhou, Peng
Gong, Xingchu
Source :
Microchemical Journal. Nov2023, Vol. 194, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

[Display omitted] • A novel process for developing a quantitative chromatographic fingerprint analysis method based on AQbD was proposed. • Strong polar compounds were considered for the first time when establishing the analysis method of Xiaochiahu preparations. • The chromatographic fingerprint analysis method can also be used to determine four compounds in Xiaochaihu Capsules. In this study, an improved Analytical Quality by Design (AQbD) process was proposed to establish quantitative fingerprints of Chinese medicines. A quantitative fingerprint method for the strong polar components in Xiaochaihu capsules was developed as an example. Different method evaluation indicators were used to characterize this method, and these indicators were measured at different stages of quantitative fingerprint development. Through this method, the difficulty in determining common peaks in the early stage of quantitative fingerprint development is eliminated. The method parameters that needed to be optimized were the mobile phase gradient conditions, column temperature and flow rate through the Ishikawa diagram. Single-factor experiments were used to determine some parameters. Definitive screening design (DSD) experiments were used to optimize critical method parameters (CMPs). The common peaks were determined, and indices were optimized. The critical method attributes (CMAs) were the resolution of guanosine, the percentage of common peak to the total peak area, retention time of the last peak and the common peak number. A stepwise regression method was used to build quantitative models for critical method attributes and critical method parameters. The method operable design region (MODR) was calculated by the experimental error simulation method and successfully verified. After the analysis conditions were optimized, four components, uridine, adenine, 5-hydroxymethylfurfural, and guanosine, were quantitatively determined. There were 7 common peaks in the fingerprints. The common peak area accounted for 90.64%. Both fingerprint and quantitative detection analysis methods were methodologically validated. The new AQbD process proposed in this study can be potentially applied to develop other Chinese medicines fingerprint methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0026265X
Volume :
194
Database :
Academic Search Index
Journal :
Microchemical Journal
Publication Type :
Academic Journal
Accession number :
172327369
Full Text :
https://doi.org/10.1016/j.microc.2023.109253