期刊文献+

基于聚类及主成分分析的山慈菇质量评价 被引量:7

Quality evaluation of Cremastra appendiculata based on Hierarchical clustering analysis(HCA) and Principal components analysis(PCA)
下载PDF
导出
摘要 为了评价山慈菇的质量,利用高效液相色谱比较分析山慈菇的主要化学成分,基于聚类分析和主成分分析的基本原理和分析方法,对15个不同产地及采收期的山慈菇样品的色谱峰面积进行区分和分类。结果显示,相似化学成分可以进行分区及分类。聚类分析和主成分分析评价山慈菇的质量具有一致性,研究结果对山慈菇的合理利用和开发具有一定的参考价值。 In order to evaluate quality of Cremastra appendiculata,HPLC-DAD methods were developed for chemical compounds of 15 samples of C.appendiculata collected from different regions of China.Fundamental and analysis methods of Hierarchical clustering analysis(HCA) and principal components analysis(PCA) were performed to differentiate and classify the samples based on the peaks of the chemical constituents.The results showed that the samples of similar chemical compounds were differentiated and classified,and results of HCA and PCA were consilient.The preparatory method proposed was demonstrated to be very useful in saving resources and guiding rational herb use.
出处 《广东农业科学》 CAS CSCD 北大核心 2012年第17期90-92,共3页 Guangdong Agricultural Sciences
基金 国家自然科学基金(31060056) 贵州省中药现代化科技产业研究开发专项(黔科合社字[2009]5036号)
关键词 聚类分析 主成分分析 山慈菇 质量评价 Hierarchical clustering analysis(HCA) Principal components analysis(PCA) Cremastra appendiculata quality evaluation
  • 相关文献

参考文献7

二级参考文献49

共引文献47

同被引文献55

引证文献7

二级引证文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部