Journal of Animal and Veterinary Advances

Year: 2012
Volume: 11
Issue: 2
Page No. 191 - 199

Quality Control and Discrimination of Different Processed Products of Angelica Based on High-Performance Liquid Chromatographic Fingerprints Combined Chemometrics Methods

Authors : Hua Yong-Li, Guo Yan-Sheng, He Sheng-Hu, Fan Jiang-Feng and Wei Yan-Ming

Abstract: A chemical fingerprint method was developed for reorganizing and validating different processed products of Angelica using HPLC. About 11 common peaks of this HPLC fingerprints were found by assigning Ferulic acid peak as the reference peak. The correlation coefficient of entire chromatographic patterns among samples were calculated and the simulative mean chromatogram was calculated and generated using the Computer Aided Similarity Evaluation System, the observation indicated that the characteristic peaks of this HPLC fingerprints existed significant difference between different processed products. Data were evaluated statistically using Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Discriminant Analysis (DA) in order to classify the samples and to identify key categorizing parameters. The statistical results showed that the projected plots of each processed products were localized in confined cluster in the 3D-projection plots of Principal Component Analysis (PCA) and that 55 representative samples were separated into 5 groups using HCA at a rescaled distance of 5 and the same processed product samples were clustered in the same cluster. Furthermore, Fish’s discriminant functions were generated using 6 selected predictor variables, the tested samples of different processed products were classified with 100% accuracy and DA plots for the 5 groups were well-resolved. To the knowledge, this is the first demonstration of the feasibility and advantages of employing chromatographic fingerprinting combined with PCA, HCA and DA for the accurate identification and validation of different processed products of Angelica. The methodology can also be used to determine relationships between chemical composition and therapeutic effects and assess quality of different processed products of Angelica.

How to cite this article:

Hua Yong-Li, Guo Yan-Sheng, He Sheng-Hu, Fan Jiang-Feng and Wei Yan-Ming, 2012. Quality Control and Discrimination of Different Processed Products of Angelica Based on High-Performance Liquid Chromatographic Fingerprints Combined Chemometrics Methods. Journal of Animal and Veterinary Advances, 11: 191-199.

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