Exploring the Quality Differences of Maian Granules through the Integration of HPLC Fingerprint and Chemical Pattern Recognition
Objective:To establish a high performance liquid chromatography(HPLC)fingerprint of Maian Granules,combined with chemical pattern recognition to identify the characteristic compounds affecting the quality difference,and to explore the quality variations of Maian Granules.Methods:Nineteen batches of Maian Granules were collected,and their fingerprint profiles were analyzed and matched to evaluate similarity.Clustering analysis(CA),principal component analysis(PCA)and partial least squares-discriminant analysis(PLS-DA)were conducted using the MetaboAnalyst 5.0 online analysis system and Simca 14.1 software to evaluate the quality of the samples and find out the characteristic compounds affecting sample quality.Results:The HPLC fingerprint of Maian Granules was established,matching 21 common peaks and identifying 8 compounds.The similarity of fingerprint profiles ranged from 0.882 to 0.987.Using statistical analysis,the 19 batches of samples could be divided into three categories,and the characteristic components affecting the quality difference were identified.Conclusion:The combination of HPLC fingerprint and chemical pattern recognition can be used for comprehensive quality evaluation and differential component analysis of Maian Granules,laying a theoretical foundation for the improvement of its quality standard.
国家科技期刊平台
NSTL
万方数据
维普
