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中药丹参及其近缘种中微量元素的主成分和聚类分析
引用本文:杨在君,张利,杨瑞武,丁春邦,周永红,万德光. 中药丹参及其近缘种中微量元素的主成分和聚类分析[J]. 光谱学与光谱分析, 2008, 28(10): 2441-2445. DOI: 10.3964/j.issn.1000-0593(2008)10-2441-05
作者姓名:杨在君  张利  杨瑞武  丁春邦  周永红  万德光
作者单位:四川农业大学生命科学与理学院,四川,雅安,625014;作物基因资源与遗传改良教育部重点实验室,四川农业大学,四川雅安,625014;作物基因资源与遗传改良教育部重点实验室,四川农业大学,四川雅安,625014;成都中医药大学药学院,四川成都,610015;四川农业大学生命科学与理学院,四川,雅安,625014;成都中医药大学药学院,四川成都,610015;作物基因资源与遗传改良教育部重点实验室,四川农业大学,四川雅安,625014;成都中医药大学药学院,四川成都,610015
基金项目:教育部长江学者和创新团队发展计划项目,四川省教育厅项目,四川省科技厅项目
摘    要:采用原子吸收光谱法测定了不同产地的中药丹参及其近缘种植物白花丹参、雪山鼠尾草、云南鼠尾草、甘西鼠尾草、贵州鼠尾草、血盆草、粘毛鼠尾草、峨眉鼠尾草、黄鼠狼花、短唇鼠尾草和犬形鼠尾草中的Cu,Zn,Fe,Mg,Ca,Cr,Pb,Mo,Mn和Cd共10种微量元素的含量,应用主成分和聚类分析法对测定结果进行了研究。经过主成分分析得出3个主因子,其累计方差贡献率达79.3%。第一主因子的方差贡献率为49.6%,故所对应的Fe,Mn,Cu,Zn,Cd和Pb是丹参及其近缘种的特征元素。聚类分析将21个样品聚成2组,除浙江栽培丹参和白花丹参外,来自不同产地的9个丹参样品聚为一组;除贵州鼠尾草外,其他鼠尾草样品聚在一起,故此法可以将丹参和鼠尾草属其他植物区分开,总符合率达90%。因此利用原子吸收光谱法测定丹参及其近缘种中微量元素含量并对测定结果进行聚类分析是鉴别正品丹参的一种快速、准确的方法。

关 键 词:丹参  原子吸收光谱  微量元素  主成分分析  聚类分析
收稿时间:2007-05-06

Principal Component and Cluster Analysis of Trace Elements in Chinese Herb Salvia Miltiorrhiza and Its Relative Species
YANG Zai-jun,ZHANG Li,YANG Rui-wu,DING Chun-bang,ZHOU Yong-hong,WAN De-guang. Principal Component and Cluster Analysis of Trace Elements in Chinese Herb Salvia Miltiorrhiza and Its Relative Species[J]. Spectroscopy and Spectral Analysis, 2008, 28(10): 2441-2445. DOI: 10.3964/j.issn.1000-0593(2008)10-2441-05
Authors:YANG Zai-jun  ZHANG Li  YANG Rui-wu  DING Chun-bang  ZHOU Yong-hong  WAN De-guang
Affiliation:1. College of Biology and Science, Sichuan Agricultural University, Yaan 625014, China2. Key Laboratory of Crop Genetic Resources and Improvement of Ministry of Education, Sichuan Agricultural University, Yaan625014, China3. Pharmacy School of Chengdu University of Traditional Chinese Medicine, Chengdu 610015, China
Abstract:The contents of trace elements, including copper, zinc, iron, magnesium, calcium, chromium, lead, molybdenum, manganese, and cadmium in Chinese traditional herb S. miltiorrhiza and its relative species such as S. miltiorrhiza f. alba, S. evansiana, S. yunnanensis, S. przewalskii, S. cavaleriei, S. cavaleriei var. simplicifolia, S. roborowskii, S. omeiana, S. tricuspis, S. brevilabra and S. cynica were determined by atomic absorption spectroscopy. The principal components analysis of SPSS was applied to the study of characteristic elements in S. miltiorrhiza and its relative species. Three principal components which accounted for 79.3% of total variance were extracted from the original data. The first factor accounted for 49.6% of the total variance, which means that iron, manganese, copper, zinc, cadmium and lead are the characteristic elements in S. miltiorrhiza and its relative species. The results of cluster analysis show that the samples could cluster reasonably into two groups. The samples of S. miltiorrhiza from different regions were classified into one group except S. miltiorrhiza from Zhejiang and S. miltiorrhiza f. alba. The other Salvia species were classified into another group except S. cavaleriei. The S. miltiorrhiza and other Salvia species can be distinguished by this method, whose accuracy of classification is 90%. The cluster analysis based on the contents of trace element in S. miltiorrhiza and its relative species provided a quick, accurate and simple method for authentication of herb Salvia miltiorrhiza.
Keywords:S. miltiorrhiza  Atomic absorption spectroscopy  Trace elements  Principal components analysis  Cluster analysis
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