[Quality control and discrimination of angelica different processed products based on HPLC fingerprints combined chemometrics methods].
OBJECTIVE
To establish a chemical fingerprint method for reorganizing and validating angelica different processed products.


METHODS
A high-performance liquid chromatographic method was developed to establish the fingerprint. Principal component analysis, hierarchical cluster analysis and discriminate analysis were applied to study HPLC finger printing and chemical pattern reorganization.


RESULTS
There were difference of characteristic peaks and its relative peak area of HPLC fingerprints between different processed products. Fish's discriminate functions were generated by using six selected predictor variables, the tested samples of different processed products were classified with 100% accuracy, and discriminate analysis plots for the five groups were well-resolved.


CONCLUSIONS
The developed HPLC finger print, combined with chemometrics, can accurately identify and validate angelica different processed products, the research provide theoretical basis for the processing mechanism and quality assess of angelica different processed products.
Guo
Yansheng
Y
School of Veterinary Medicine, Gansu Agriculture University, Lanzhou 730070, China. guoys@gsau.edu.cn
Hua
Yongli
Y
Du
Tianxi
T
Yang
Hongshen
H
Wei
Yanming
Y
D029969:Angelica / Q000737:chemistry* / Q000145:classification; D002681:China; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D004365:Drugs, Chinese Herbal / Q000032:analysis* / Q000592:standards*; D005511:Food Handling; D018517:Plant Roots / Q000737:chemistry; D011786:Quality Control
D004365:Drugs, Chinese Herbal