Establishment of fingerprint and chemistry pattern recognition of Aronia melanocarpca leaves from different habitats
Objective:To establish HPLC fingerprint of 10 batches of Aronia melanocarpa leaves in different origin and evaluate quality with chemical pattern identification.Methods:Using Agilent TC-C18 column with acetonitrile-0.45％formic acid solution as the mobile phase,gradient elution,the wavelength of 280 nm.Combined with the chemical pattern identification method to analyze the similarity and differences of 10 batches of leaves.Results:The leaf similarity of 10 batches of Aronia melanocarpca leaves was 0.175～0.921,and 17 common peaks were identified,referring to the recognition of four common peaks including gallic acid,chlorogenic acid,comabin-3-O-glucoside and epicatechin.The cluster analysis of 10 batches of samples can be divided into two categories.The principal component analysis found that the cumulative variance contribution rate of the four principal components was 88.726％,which could effectively distinguish the leaves of different origins and identify four different components that affect their quality.Conclusion:The fingerprint of the method is scientific and accurate,which provides scientific basis for its quality control and resource development.
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