Purifying process of gynostemma pentaphyllum saponins based on "adjoint marker" online control technology and identification of their compositions by UPLC-QTOF-MS.
10.19540/j.cnki.cjcmm.20170223.003
- Author:
Dong-Dong FAN
1
;
Yan-Hui KUANG
2
;
Li-Hua DONG
3
;
Xiao YE
1
;
Liang-Mian CHEN
3
;
Dong ZHANG
3
;
Zhen-Shan MA
3
;
Jin-Yu WANG
3
;
Jing-Jing ZHU
3
;
Zhi-Min WANG
3
;
De-Qin WANG
2
;
Chu-Yuan LI
2
Author Information
1. Shaanxi University of Chinese Medicine, Xi'an 712046, China.
2. Hutchison Whampoa Guangzhou Baiyunshan Chinese Medicine Co., Ltd., Guangzhou 510515, China.
3. National Engineering Laboratory for Quality Control Technology of Chinese Herbal Medicines, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
- Publication Type:Journal Article
- Keywords:
UPLC-QTOF-MS;
adjoint marker;
gynostemma pentaphyllum saponins (GPS);
macroporous absorptive resin;
online detecting;
purification
- From:
China Journal of Chinese Materia Medica
2017;42(7):1331-1337
- CountryChina
- Language:Chinese
-
Abstract:
To optimize the purification process of gynostemma pentaphyllum saponins (GPS) based on "adjoint marker" online control technology with GPS as the testing index. UPLC-QTOF-MS technology was used for qualitative analysis. "Adjoint marker" online control results showed that the end point of load sample was that the UV absorbance of effluent liquid was equal to half of that of load sample solution, and the absorbance was basically stable when the end point was stable. In UPLC-QTOF-MS qualitative analysis, 16 saponins were identified from GPS, including 13 known gynostemma saponins and 3 new saponins. This optimized method was proved to be simple, scientific, reasonable, easy for online determination, real-time record, and can be better applied to the mass production and automation of production. The results of qualitative analysis indicated that the "adjoint marker" online control technology can well retain main efficacy components of medicinal materials, and provide analysis tools for the process control and quality traceability.
