Application of quantitative analysis of multi -components by single marker combined with fingerprint and chemical pattern recognition analysis in the quality evaluation of Xihuang pills / 中国药房

ABSTRACT

OBJECTIVE To evaluate the qualit y of Xihuang pills ，and to screen the differential markers affecting its quality . METHODS Using muskone as internal reference ，the content of α-pinene and other 4 components were determined by quantitative analysis of multi -components by single marker （QAMS），and compared with the results of external standard method . The fingerprints of 13 batches of Xihuang pills were established by gas chromatography （GC）method. Cluster analysis （CA）and orthogonal partial least squares discriminant analysis （OPLS-DA） were performed by SPSS 25.0 software and SIMCA 14.1 software. The variable importance projection （VIP）value greater than 1 was used as the standard to screen differential markers affecting the quality of the samples . RESULTS The contents of α-pinene，octyl acetate and β-elemene measured by QAMS were 0- 0.628 4，0.378 0-2.679 4 and 0.320 9-0.815 4 mg/g，respectively. The contents of α-pinene，octyl acetate ，β-elemene and musk ketone measured by external standard method were 0.001 5-0.627 1，0.378 0-2.594 7，0.329 2-0.837 0 and 0.385 7-0.806 0 mg/g， respectively. The relative error of the content determination results of the two methods was less than 4%. There were 26 common peaks in 13 batches of Xihuang pills ，and 3 common peaks ，such as octyl acetate ，β-elemene and musk ketone ，were identified ； their similarities were 0.912-0.946. 13 batches of samples could be divided into two categories （S1-S2，S6-S10，S13 were clustered into one category and S 3-S5，S11-S12 were clustered into one category ）. VIP values of peak 7，11，10，17 and 16 were all greater than 1. CONCLUSIONS The content of 4 components such as α-pinene in Xihuang pills combined with GC fingerprint and chemical pattern recognition analysis can be used to evaluate the quality of Xihuang pills . The components corresponding to 5 common peaks such as peak 7 may be differential markers affecting the quality of the samples .