Objective To establish the quality standard of Gongliuqing Tablets.Methods The ultra-high-performance liquid chromatography(UPLC)method was adopted;the chromatographic column was the Agilent Extend C18 RRHD column(100 mm × 2.1 mm,1.8 μm),the mobile phase was methanol-0.4％phosphoric acid aqueous solution(gradient elution),the flow rate was 0.3 mL/min,the detection wavelengths were 220 nm(0-15 min)and 250 nm(15-42 min),the column temperature was 30℃,and the injection volume was 1 μL.The UPLC chromatograms were imported into the similarity evaluation system for chromatographic fingerprint of traditional Chinese medicine(version 2012)to establish the fingerprint of Gongliuqing Tablets,the similarity was calculated,the common peaks were marked and identified;the chemical pattern recognition was performed through cluster analysis(CA),principal component analysis(PC A),and partial least squares-discriminant analysis(PLS-DA);and the contents of six indicator components were determined.Results There were 23 common peaks in the fingerprint of 21 batches of samples,and six indicator components were identified,namely amygdalin,paeoniflorin,hesperidin,baicalin,ammonium glycyrrhizinate and chrysophanol;the similarity was in the range of 0.939 to 0.996.The samples were grouped into three categories by the CA;four principal components were extracted by the PCA,with a cumulative variance contribution rate of 92.686％;11 differential compounds were screened by the PLS-DA.In the content determination,the mass concentration of the above six components had a good linear relationship with the peak area within the corresponding range;the RSDs of precision,stability and repeatability tests were lower than 3.0％;the recovery rates of the above six components were in the range of 91.24％to 104.11％,with the RSDs of 0.35％to 1.95％(n=6).Conclusion Chrysophanol was the main differential component in this preparation.The established method is easy,accurate and reliable,which can provide a basis for quality control of Gongliuqing Tablets.
Gongliuqing TabletsUPLCfingerprintchemical pattern recognitionquality control
万方数据
维普
