Identification of quality markers (Q-marker) of Banxia Baizhu Tianma Decoction based on component difference analysis and multivariate statistical method / 中草药

ABSTRACT

Objective: To identify the quality markers (Q-marker) for Baizhu Tianma Decoction from different batches based on multivariate statistical analysis. Methods: The fingerprint data of 18 batches of Banxia Baizhu Tianma Decoction were processed by the Similarity Evaluation System of Chromatographic Fingerprints of Traditional Chinese Medicine (2012A Edition). SPSS 20.0 was used for cluster analysis and principal component analysis (PCA). According to PCA results, cluster analysis was carried out to screen out the markers that might affect the quality difference of Banxia Baizhu Tianma Decoction and determine its content in the samples. Results: A total of 12 chromatographic peaks were selected as common peaks of fingerprint, and the similarity of 18 batches of samples was greater than 0.900, which indicated that each batch had good consistency. Eighteen batches of samples were clustered into three groups by cluster analysis. Five marker peaks were screened out from PCA results. Two of them were identified as gastrodin and naringin. The five marker peaks were further clustered and the results were basically the same as before. There was a certain correlation between the comprehensive score of principal components and the determination results of gastrodin and naringin in 18 batches of samples. Conclusion: Through multivariate statistical analysis, the Q-markers that may affect the difference of Banxia Baizhu Tianma Decoction were better identified, which can lay the foundation for the comprehensive quality control of Banxia Baizhu Tianma Decoction and its compound preparations, and provide reference for the further study of the correlation between the different components and pharmacodynamics of Banxia Baizhu Tianma Decoction.