MULTIVARIATE CLASSIFICATION OF MEDICINAL HERBS FROM THE AMAZON REGION AND THEIR INFUSIONS ACCORDING TO THEIR MINERAL COMPOSITION

被引：5

作者：

Diniz, Victor W. B. ^{[1
]}

Dantas Filho, Heronides A. ^{[1
]}

Mueller, Regina C. S. ^{[1
]}

Fernandes, Kelly G. ^{[1
]}

Palheta, Dulcideia C. ^{[2
]}

机构：

[1] Fed Univ Para, Fac Quim, Inst Ciencias Exatas & Nat, BR-66075110 Belem, Para, Brazil

[2] Univ Fed Rural Amazonia, Inst Saude & Prod Anim, BR-66077901 Belem, Para, Brazil

来源：

QUIMICA NOVA | 2013年 / 36卷 / 02期

关键词：

medicinal plants; multivariate analysis; FAAS; TRACE-ELEMENTS; METALS; PLANTS; ZN; MICROELEMENTS; SPECIATION; DRUGS; MN; FE; MG;

D O I：

10.1590/S0100-40422013000200010

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

MULTIVARIATE CLASSIFICATION OF MEDICINAL HERBS FROM THE AMAZON REGION AND THEIR INFUSIONS ACCORDING TO THEIR MINERAL COMPOSITION. In this study, the mineral composition of leaves and teas of medicinal plants was evaluated. Ca, Cu, Fe, Mg, Mn e Zn were determined in the samples using flame atomic absorption spectrometry. Principal component analysis was applied to discriminate the samples studied. The samples were divided within the 2 groups according to their mineral composition. Copper and iron were the variables that contributed most to the separation of the samples followed by Ca, Mg, Mn and Zn. The information in the principal component analysis was confirmed by the dendrogram obtained by hierarchical cluster analysis.

引用

页码：257 / 261

页数：5

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