Application of Multivariate Statistics Analysis in HPLC Fingerprint of Shenmai Injection
- VernacularTitle:多元统计学在参麦注射液指纹图谱中的应用
- Author:
Hao WU
;
Yanhua TIAN
;
Pingping GUO
;
- Publication Type:Journal Article
- Keywords:
HPLC, multivariate statistics analysis, cluster analysis, mahalanobis distance analysis
- From:
Chinese Traditional Patent Medicine
1992;0(01):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To establish an effective fingerprint analysis. Methods: Cluster analysis and mahalanobis distance analysis were adopted to analyze data of HPLC fingerprint of shenmai injection. Results: Precise classification of 18 samples was done by cluster analysis and mahalanobis distance analysis. Conclusion: Authors believe that multivariate statistics analysis applied to fingerprint can be recommanded in the quality control of shenmai injection.
