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不同产地何首乌无机元素的含量测定和主成分分析
引用本文:严寒静,房志坚.不同产地何首乌无机元素的含量测定和主成分分析[J].中国中药杂志,2008,33(4):416-419.
作者姓名:严寒静  房志坚
作者单位:1. 中山大学,生命科学学院,广东,广州,510275;广东药学院,中药学院,广东,广州,510006
2. 广东药学院,中药学院,广东,广州,510006
摘    要:目的:探讨何首乌中无机元素的特征。方法:采用电感耦合等离子体发射光谱(ICP-AEC)法测定了9个何首乌样品中15种无机元素的含量,建立何首乌无机元素指纹谱,并用SPSS方差分析和主成分分析对何首乌中的特征元素进行分析。结果:野生何首乌中铝(Al),钙(Ca),钾(K),镁(Mg),锶(Sr),钛(Ti)6种元素显著高于栽培何首乌中的含量,其他元素无明显差异;主成分分析选出5个主因子,得出何首乌的特征元素为Al,硼(B),铍(Ba),铁(Fe),钠(Na),镍(Ni),钛(Ti),Ca,Sr;广西田阳所产何首乌的无机元素指纹图谱与其他产地有明显差异。结论:主成分分析法是何首乌无机元素分析的有效方法。

关 键 词:何首乌  电感耦合等离子体发射光谱  无机元素  主成分分析
文章编号:1001-5302(2008)04-0416-04
收稿时间:2007-04-17

Study on determination and principal component analysis of inorganic elements in Polygonum multiflorum from different areas
YAN Han-jing ; FANG Zhi-jian.Study on determination and principal component analysis of inorganic elements in Polygonum multiflorum from different areas[J].China Journal of Chinese Materia Medica,2008,33(4):416-419.
Authors:YAN Han-jing ; FANG Zhi-jian
Affiliation:School of Life Science, Sun Yat-sen University, Guangzhou 510275, China.
Abstract:Objective: To explore the character of inorganic elements in Polygonum multiflorum.Method: The contents of elements such as Al,B,Ba,Ca,Cu,Mn,Mg,Fe,Na,Ni,P,Se,Sr,Ti and Zn in nine P.multiflorum samples were determined by means of ICP-AEC. The results were used for the development of element distrubution diagram.The principal component analysis and one-way ANOVA of SPSS were applied for the study of characteristic elements in P.multiflorum.Result: The contents of Al,Ca,K,Mg,Sr,Ti in wild P.multiflorum were remarkable higher than those in cultured P.multiflorum,and there was no significant difference between cultured and wild in the other elements.Five principal components which accounted for over 90 % of the total variance were extracted from the original data.The analysis results show that Al,B,Ba,Fe,Na,Ni,Ti,Ca and Sr may be the characteristic elements in P.multiflorum.The element distrubution diagram of the sample from Tianyang was remarkable different comparing with the others.Conclusion: The principal component analysis could be used in data processing in inorganic elements.
Keywords:Polygonum multiflorum  ICP-AEC  inorganic elements  principal component analysis
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