Journal of Northern Agriculture ›› 2024, Vol. 52 ›› Issue (5): 71-83.doi: 10.12190/j.issn.2096-1197.2024.05.08

• Molecular biology·Physiology and biochemistry • Previous Articles     Next Articles

Quality evaluation of Epimedii Folium from different sources

HE Jie1, YANG Jie2,3, WANG Shibao2,3, DING Wei1, CUI Yanli4, ZHANG Mengmeng2,3, HUANG Dongping1, ZHANG Hui2,3, HE Zhipeng5, HUANG Wen1   

  1. 1. Hanzhong Center for Food and Drug Supervision,Inspection and Testing,Hanzhong 723000,China;
    2. Faculty of Pharmacy,Hanzhong Vocational and Technical College,Hanzhong 723000,China;
    3. Qinba Mountains Institute of Pharmaceutical(Edible) Botanty,Hanzhong Vocational and Technical College,Hanzhong 723000,China;
    4. Department of Basic Courses Teaching,Hanzhong Vocational and Technical College,Hanzhong 723000,China;
    5. Medical College,Shaanxi University of International Trade and Commerce,Xianyang 712046,China
  • Received:2024-04-11 Online:2024-10-20 Published:2025-01-14

Abstract: 【Objective】To constructed the quality evaluation methods of Epimedii Folium from different sources.【Methods】High performance liquid chromatography(HPLC) was used to determine the four flavonoids of epimedin A,epimedin B,epimedin C and icariin of the 30 batches of Epimedii Folium samples. The content of total flavonoids in the samples were determined by ultraviolet spectrophotometer(UV),and the alcohol soluble extract and total ash were also measured. Using grey relational analysis(GRA) combined with SPSS 27.0 and Simca 14.1 software for principal component analysis and cluster analysis,evaluate the quality of Epimedii Folium from different sources.【Results】The optimal reference sequence correlation,the worst reference sequence correlation and the relative correlation of the 30 batches of Epimedii Folium samples were 0.26-0.62,0.35-0.76 and 0.27-0.63,respectively. The results of principal component analysis show that the eigenvalues of the three principal components with eigenvalues greater than 1 were 3.179,1.964 and 1.185,respectively. The variance contribution rates were 39.733%,24.554% and 14.818%,respectively. The cumulative variance interpretation rate was 79.102%. In the cluster analysis,when the square Euclidean distance was 5,the samples were divided into 6 categories.【Conclusion】The GRA method combined with SPSS 27.0 and Simca 14.1 can evaluate the quality of Epimedii Folium comprehensively and reliably.

Key words: Epimedii Folium, Grey relational analysis, Principal component analysis, Cluster analysis, Quality evaluation

CLC Number: 

  • R282.71