Quality evaluation of Xiaoer Resuqing granules based on fingerprint and quantitative analysis of multi-index components combined with chemical pattern recognition analysis
Objective:To study different batches of Xiaoer Resuqing granules by combining the method of finger-print,multi-index component content determination and chemical pattern recognition analysis technology,and to provide the basis for its quality evaluation.Methods:The chromatographic SuperLu C18(250 mm × 4.6 mm,5 μm)column was adopted with mobile phase composed of methanol(A)-0.1％phosphoric acid(B)with gra-dient elution at a flow rate of 1.0 mL·min-1.The column temperature was 30 ℃,and the detection wavelength was 280 nm.Eleven characteristic components were identified,and the contents of seven active components,in-cluding puerarin,forsythiaside A,phillyrin,baicalin,wogonoside,baicalein and wogonin were determined.Hier-archical cluster analysis(HCA)and principal component analysis(PCA)were used to classify 15 batches of samples,and orthogonal least partial squares discriminant analysis(OPLS-DA)was performed.To screen out the difference components between batches of Xiaoer Resuqing granules.Results:The HPLC fingerprint of Xiaoer Resuqing granules and the content determination method of 7 components were established,the results of the two methods met the requirements.Twenty-eight common peaks were identified,11 chromatographic peaks were identified,and the similarities of 15 batches of samples ranged from 0.995 to 0.999.HCA and PCA results showed that 15 batches were clustered into two categories,and OPLS-DA screened out 13 markers that caused the differences among the 15 batches of samples.There was little difference in the contents of ingredients.Conclusion:The established HPLC fingerprint of Xiaoer Resuqing granules and the determination method of 7 components are specific,accurate and reliable.Combined with chemical pattern recognition,it can be effectively used for the quality control of Xiaoer Resuqing granules.
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