中国现代中药2017，Vol.19Issue(12)：1692-1696,5.DOI:10.13313/j.issn.1673-4890.2017.12.007
基于指纹图谱结合多元统计分析评价山楂叶质量差异性
Evaluation of Difference of Hawthorn Leaf Quality Based on Fingerprint Combined with Multivariate Statistical Analysis
摘要
Abstract
Objective:The HPLC fingerprint of hawthorn leafs was established by wavelength conversion method,and the differences of hawthorn leafs were evaluated by multivariate statistical analysis.Methods:An Agilent ZORBAX SB-C18 column was used,with the mobile phase of 0.5％ formic acid (A)-acetonitrile (B)-methanol (C)-tetrahydrofuran (D) by gradient elution,the detection wavelength were:0-15 min,the detection wavelength was 260 nm,the reference wavelength was 360 nm;15-65 min,the detection wavelength was 370 nm,the reference wavelength was 430 nm.The HPLC fingerprints were obtained and evaluated by Similarity Evaluation System for Chromatographic fingerprint of TCM (2004A edition),and SPSS 19.0 was used to carry out hierarchical cluster analysis and principal component analysis.According to the principal component analysis,another hierarchical cluster analysis was carried out to screen the possible index compositions that influenced the difference between hawthorn leafs.Results:The hawthorn leafs were divided into 3 groups by hierarchical cluster analysis,and 8 index compositions of hawthorn leafs were identified.Conclusion:The method is fast and accurate.It is suitable for the evaluation of the difference of hawthorn leafs.关键词
山楂叶/指纹图谱/主成分分析/聚类分析Key words
Hawthorn leaf/fingerprint/principal component analysis/hierarchical cluster analysis引用本文复制引用
王领弟,臧亚茹,潘伟东,高婧,杜义龙,潘海峰..基于指纹图谱结合多元统计分析评价山楂叶质量差异性[J].中国现代中药,2017,19(12):1692-1696,5.基金项目
河北省中医药管理局项目(2016190) （2016190）
承德市科学技术研究与发展计划项目(201601A043) （201601A043）
