Quantitative analysis method of Shengxuebao Mixture by HPLC-UV-MS based on quality by design concept.
10.19540/j.cnki.cjcmm.20180807.005
- Author:
Zi-Mei ZHOU
1
;
Jian-Yang PAN
1
;
Xing-Chu GONG
1
;
Hai-Bin QU
1
;
Hong-Na LIU
2
;
Tao ZHANG
2
;
Wu WANG
2
Author Information
1. Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
2. Qinghua Deren Xi'an Xingfu Co., Ltd., Xi'an 710043, China.
- Publication Type:Journal Article
- Keywords:
QbD;
Shengxuebao mixture;
design space;
stepwise optimization
- MeSH:
Chromatography, High Pressure Liquid;
Drugs, Chinese Herbal;
analysis;
Mass Spectrometry;
Phytochemicals;
analysis;
Reproducibility of Results
- From:
China Journal of Chinese Materia Medica
2018;43(21):4248-4254
- CountryChina
- Language:Chinese
-
Abstract:
In this study, the HPLC-UV-MS method for the simultaneous determination of eight active ingredients of Shengxuebao Mixture were developed based on the concept of quality by design（QbD）with a stepwise optimization approach. After the analytical target profile（ATP）had been defined, albiflorin, paeoniflorin, 2, 3, 5, 4'-tetra-hydroxy-stilbene-2-O-β-D-glucopyranoside, specnuezhenide, ecliptasaponin D, emodin, calycosin-7-glucoside, and astragaloside Ⅳ were identified as the indicator components. The resolution and the signal-to-noise ratio of indicator components were then selected as critical method attributes (CMA) for the first step optimization. According to the results collected from fractional factorial design, critical method parameters (CMP) were determined with a multiple linear regression method, which included the amount of acid addition in the mobile phase, temperature, gradient, and wavelength. After that, the amount of acid addition and the wavelength were optimized to improve the resolution and the signal-to-noise ratio of the indicator components. The peak symmetry factors of specnuezhenide and emodin were then set as CMA for the second step optimization. The Box-Behnken designed experiments were conducted. The temperature and gradient were optimized after modelling. The design space were calculated and verified. The optimized analytical method was validated, and the results showed a good precision, accuracy and stability, which means that it can be used for the quantification of the indicator components in Shengxuebao Mixture.
