Comparision of Bupleurum scorzoneri folium Willd. Grouping from Different Habitats Based on Pattern Recognition with R Software

Wen Rui; Hong Yuan Chen; Yi Fan Feng; Zhong Feng Shi; Miao Miao Jiang

doi:10.4028/www.scientific.net/AMR.393-395.1139

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 393-395Comparision of Bupleurum scorzoneri folium Willd....

Comparision of Bupleurum scorzoneri folium Willd. Grouping from Different Habitats Based on Pattern Recognition with R Software

Abstract:

Bupleurum scorzoneri folium Willd.(BSFW) is a traditional Chinese medicine which is widely distributed in China. To evaluate the quality of BSFW from different habitats, samples from 5 different areas in China were determined by UPLC/MS. The chemical data were dealed with hierarchical clustering, PCA, SPCA, PLSDA and SPLSDA using R software. The results show that these pattern recognition methods can fully reflect the chemical composition of different areas of BSFW, which make it possible to control the quality.

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Periodical:

Advanced Materials Research (Volumes 393-395)

Pages:

1139-1142

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.393-395.1139

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Online since:

November 2011

Authors:

Wen Rui, Hong Yuan Chen, Yi Fan Feng, Zhong Feng Shi, Miao Miao Jiang

Keywords:

Bupleurum scorzoneri folium, Pattern Recognition, R Software, Willd

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