Fingerprint of Xinan Capsules by Principal Component Analysis and Cluster Analysis / 中国药师

ABSTRACT

Objective:To study the HPLC fingerprint of Xinan capsules from different manufacturers, and establish the chemical pattern recognition method by using principal component analysis and cluster analysis in order to provide reference for the quality con-trol of Xinan capsules. Methods:The HPLC chromatographic column was Agilent ZORBAX SB-C18 (250 mm × 4. 6 mm, 5 μm);the mobile phase was 0.1% formic acid(A)-acetonitrile(B)– tetrahydrofuran(C) with gradient elution, the flow rate was 1.0 ml· min-1;the detection wavelength was 350 nm and the column temperature was 30 ℃. Totally 15 batches of samples were analyzed by the Evaluation System of Traditional Chinese Medicine Chromatographic Fingerprint Similarity (2004A version) and SPSS 19. 0 statisti-cal software. Results:According to the results of cluster analysis and principal component analysis, 10 batches of Xinan capsules were screened out, and the fingerprint common pattern was established. Conclusion:The method is accurate and reliable, and can be used to control the quality of Xinan capsules.