Abstract
This study examines the distributions and behavior of trace elements in five takaout plant samples. Multivariate statistical methods involving principal component analysis and hierarchical cluster analysis are applied. The measurements were performed using 21 elements (Al, B, Ba, Ca, Co, Cr, Cu, Er, Fe, K, La, Mg, Mn, Na, Ni, Sc, Sr, Ti, Y, Yb, Zn) at µg g-1 level determined by ICP-OES. The coefficients calculated for samples indicated a poorly negative correlation between the trace elements and Pr. A strong positive correlations among K, Na, Ca, Mg, Fe, Al, Sr, Ti, Er and Cr show a similarity in their change rules. Also, negative correlations between K and Na with Mn, Zn and Ba were showed, which indicates that these elements haven’t a similarity in their behaviors, the increase of one (K and Na) conducting of decrease of others (Mn, Zn and Ba). The correlation matrix shows that Cr has good consistency with the trace elements in the sample. In particular, the correlation coefficient with Mg followed by Sr, Ca, and Fe correlations. These strong correlations between these variables show the similarity of the phenomena at the origin in takaout plant.  Â
Highlights
Takaout plant available from Moroccan herbalists, is a nontoxic natural product derived from galls of tamarix orientalis used traditionally by Moroccan women for dyeing and coloration of hairs and as adjuvant of henna [1,2,3], rich in aromatic amine
We investigated for the first time the applied of different multivariate statistical for data interpretation of quality, distributions and behavior of trace elements in takaout plant
From the data it can be seen that K, Na, Ca, Mg, Fe and Al are the main elements presented in takaout plant samples
Summary
Takaout plant available from Moroccan herbalists, is a nontoxic natural product derived from galls of tamarix orientalis used traditionally by Moroccan women for dyeing and coloration of hairs and as adjuvant of henna [1,2,3], rich in aromatic amine. It is used in the treatment of hypertension and heart disease for men and women [4], [5]. We investigated for the first time the applied of different multivariate statistical for data interpretation of quality, distributions and behavior of trace elements in takaout plant
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