Quality evaluation of fingerprints of herbal medicine with chromatographic data |
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Authors: | Bo-Yan Li Yi-Zeng Liang Pei-Shan Xie |
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Institution: | a College of Chemistry and Chemical Engineering, Research Center of Modernization of Chinese Herbal Medicines, Central South University, Changsha 410083, PR China b Guangzhou Institute for Drug Control, Guangzhou 510160, PR China c College of Chemical Engineering, Shandong University of Technology, ZiBo 255000, PR China |
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Abstract: | In this study, local least squares (LLS) and principal component analysis (PCA) were applied to deal with the disturbances in a data set of chromatographic fingerprints after necessary data transformations. It has been demonstrated that PCA with standard normal variate (SNV) transformation of data led to meaningful classification of 33 different Erigeron breviscapus herbal samples. The result was also corroborated by variance squares discriminant method. The quality of herbal objects was further evaluated, and the causes of this fact have been explained from a chemical point of view. At the same time, it implied an idea for qualitative evaluation of the herbal objects with a common class pattern of chromatographic fingerprints. |
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Keywords: | Chromatographic fingerprint Erigeron breviscapus Closure of data Normalization of data Standard normal variate transformation Variance squares discriminant |
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