[Studies on comparison and classification of Angelica sinensis from different areas in Gansu province]
Yali Wang1, Hongxia Tang, Shuqiang Zhu
1Gansu College of Traditional Chinese Medicine, Lanzhou 730000, China. cnwyl1166@hotmail.com
Objective:
To compare and classify the samples of Angelica sinensis from 36 different areas in Gansu province.
Method:
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.
Result:
It was found that the quality of A. sinensis is closely related to the growth environment.
Conclusion:
This method could be used to classify the samples of A. sinensis from a variety of sources.
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