Quality evaluation of Astmgali radix based on multivariate statistical analysis
10.3760/cma.j.cn115398-20210204-00035
- VernacularTitle:基于多元统计分析的黄芪质量评价研究
- Author:
Yuyao ZHAI
1
;
Wanli DUAN
;
Mingxun HU
;
Baolin GUO
Author Information
1. 西安市人民医院（西安市第四医院）药剂科，西安 710004
- Keywords:
Astmgali radix (TCD);
Multivariate statistical analysis;
Quality control
- From:
International Journal of Traditional Chinese Medicine
2022;44(4):416-421
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the feasibility of using multivariate statistical analysis to evaluate the quality of Astmgali radix from different habitats. Methods:The contents of Astragaloside saponinⅠ, Astragalus saponin Ⅱ, Astragaloside Ⅲ and Astragaloside A were determined by UPLC-ELSD. The components of astragalus saponins from different habitats were analyzed by TOPSIS and cluster thermogram.Results:TOPSIS analysis showed that the comprehensive quality of Astmgali radix samples from Shanxi, Gansu and Inner Mongolia was related(were 0.297 3, 0.346 0, 0.322 5), and the whole quality of S13 and S14 from Shanxi and N5 from Inner Mongolia were higher than others. Cluster thermogram showed that Astmgali radix was grouped into three groups according to region, and the quality difference of Astmgali radix was mainly reflected on Astragaloside saponinⅠand Astragalus saponin Ⅱ. Conclusions:The theory of multivariate statistical analysis is perfect, objective and reliable. It can be used as a reference for comprehensive quality evaluation of Traditional Chinese Medicine (TCM), selection of excellent germplasm resources and traceability of origin of TCM.
