摘要
对常用补益药黄芪、当归、枸杞子、杜仲中微量元素含量进行了综合分析.用SPSS13.0统计软件,以四种补益药中铁、镁、钙、锌、铬、钴和钼等微量元素的含量为指标,对相关数据进行标准化处理,并求出无量纲后数据的相关系数矩阵及其特征值、特征向量和贡献率.由此建立了综合主成分评价模型,结果表明:方差贡献率为67%的第1主成分和方差贡献率为29.2%第2主成分的累计方差贡献率达到了96.207%,最后根据主成分分析得分计算可得,上述药材微量元素含量趋势为黄芪>当归>杜仲>枸杞子.
The trace element contents of ferrum, magnesium, calcium, zinc, chromium, cobalt and molybdenumc in astragalus radix, Chinese angelica, barbary wolfberry fruit and eucommia ulmoides were analyzed by SPSS13.0 statistical software, and the correlation coefficient matrix, eigenvalue, feature vector and contribution rate of post-dimensionless data were determined, then the comprehensive principal component evaluation model was established.The results show that the accumulated variance contribution rates of the 1st and the 2nd principal components come to 96.207%. According to score analysis of the principal components, the trace element contents of aforesaid herbs are as follows: astragalus radix 〉Chinese angelica 〉barbary wolfberry fruit〉 eucommia ulmoides.
出处
《武汉工程大学学报》
CAS
2015年第7期30-33,共4页
Journal of Wuhan Institute of Technology
关键词
主成分分析
补益药
微量元素
principle component analysis
tonic
trace element