淫羊藿
主成分分析
化学
色谱法
指纹(计算)
定量分析(化学)
层次聚类
相似性(几何)
模式识别(心理学)
传统医学
人工智能
计算机科学
聚类分析
草药
草本植物
图像(数学)
医学
作者
Ning Xu,Guofu Zhou,Xiaojuan Li,Heng Lu,Fanyun Meng,Huaqiang Zhai
摘要
A reliable and comprehensive method for identifying the origin and assessing the quality of Epimedium has been developed. The method is based on analysis of HPLC fingerprints, combined with similarity analysis, hierarchical cluster analysis (HCA), principal component analysis (PCA) and multi-ingredient quantitative analysis. Nineteen batches of Epimedium, collected from different areas in the western regions of China, were used to establish the fingerprints and 18 peaks were selected for the analysis. Similarity analysis, HCA and PCA all classified the 19 areas into three groups. Simultaneous quantification of the five major bioactive ingredients in the Epimedium samples was also carried out to confirm the consistency of the quality tests. These methods were successfully used to identify the geographical origin of the Epimedium samples and to evaluate their quality.
科研通智能强力驱动
Strongly Powered by AbleSci AI