[Studies on comparison and classification of Angelica sinensis from different areas in Gansu province].
OBJECTIVE
To compare and classify the samples of Angelica sinensis from 36 different areas in Gansu province.


METHODS
The HPLC was used to detect samples, and the computer aided similarity evaluation was used to analyze the fingerprints. Similarity combined with principal component analysis (PCA) and multidimensional pattern recognition of Euclidean distance were used to compare and classify the samples of A. sinensis in different areas.


RESULTS
It was found that the quality of A. sinensis is closely related to the growth environment.


CONCLUSIONS
This method could be used to classify the samples of A. sinensis from a variety of sources.
Wang
Yali
Y
Gansu College of Traditional Chinese Medicine, Lanzhou 730000, China. cnwyl1166@hotmail.com
Tang
Hongxia
H
Zhu
Shuqiang
S
D029971:Angelica sinensis / Q000737:chemistry* / Q000145:classification*; D002681:China; D002851:Chromatography, High Pressure Liquid; D010936:Plant Extracts / Q000032:analysis*
D010936:Plant Extracts