Classification analysis for Schisandra sphenanthera during different grades of maturity by chemical pattern recognition approach / 中草药

ABSTRACT

Objective To establish the simultaneous determination method of six lignans from Schisandra sphenanthera and classify the different maturity of Schisandra sphenanthera via chemical pattern recognition approach. Methods The simultaneous determination method was established by UPLC technology, the samples were performed by Acquity UPLC BEH C18 (50 mm × 2.1 mm, 1.7 μm) and eluted with acetonitrile and 0.1% formic acid, the flow rate was 0.4 mL/min, column temperature was 35 ℃, and the detection wavelength was 254 nm. The collected data were analyzed and classified by principal component analysis (PCA) and hierarchical cluster analysis (HCA) that the Schisantherin was selected as the monitoring component. Results Six lignans were in good linear relationship with the linear range 1.257-156.250 μg/mL (r < 0.999); Moreover, the RSD values of the repeatability, stability, and precision test were all less than 3%. According to the variation of main components in different grades of maturity, six different grades of maturity of S. sphenanthera were divided into three groups 60%-mature sample, 70%-mature sample, and mature sample. Conclusion Cluster analysis based on UPLC technology and PCA joint analysis method are simple, rapid, sensitive, and accurate, which provides technical support and scientific basis for the selection of quality control and harvest time.