Quality evaluation of Cyclocarya paliurus from different habitats by fingerprint and multi-component quantification combined with chemical pattern recognition / 中草药

ABSTRACT

Objective: Based on the method of UPLC fingerprint, multi-component quantification and chemical pattern recognition, the quality of Cyclocarya paliurus from different producing areas was evaluated to provide basis for further development and utilization. Methods: The UPLC fingerprints of 20 batches of C. paliurus from different habitats in five provinces were established to determine the common peaks. Three chemical components were identified and the content of the samples was determined by comparison with the reference materials. Cluster analysis and principal component analysis were carried out by SPSS 22.2 and SIMCA software. Results: A total of 16 chromatographic peaks were selected as the common peaks of the fingerprint, 20 batches of C. paliurus could be divided into six categories by cluster analysis, and the results of principal component analysis and cluster analysis were basically the same; By principal component analysis, the cumulative variance contribution rate of the five principal component factors was 86.765%. The quality of S14 and S15 samples from Enshi, Hubei Province was the best, and S4, S5, S8, and S16 of Xiushui, Jiangxi Province were the second. The content of isoquercetin, quercitrin and afzelin were 0.360%-0.884%, 0.263%-1.097%, and 0.092%-0.403%, respectively, among which the total content of S4, S8, S14, and S15 were the top 4, and that of S18 and S20 was in the last two places. Conclusion: Combined with fingerprint, cluster analysis and principal component analysis, we can evaluate the quality of C. paliurus more comprehensively. Isoquercetin, quercitrin and afzelin can be used as the index components for C. paliurus quality control.