Facultad de Química, Bioquímica y Farmacia, Universidad Nacional de San Luis, Chacabuco y Pedernera (5700) San Luis, Argentina.
J Agric Food Chem. 2011 Sep 14;59(17):9059-64. doi: 10.1021/jf202610t. Epub 2011 Aug 4.
The characterization of amaranth seeds (Amaranthus spp.) was developed for Amaranthus hypochondriacus, Amaranthus cruentus, and Amaranthus dubius. The elemental concentrations were determined by inductively coupled plasma optic atomic spectroscopy. Pattern recognition methods were used for the characterization of seed samples: nonsupervised methods included principal components analysis and cluster analysis; supervised methods were linear discriminant analysis and partial least squares discriminant analysis (PLS-DA). Informed are the concentrations of the following elements: Ag, Al, Ba, Ca, Co, Cr, Cu, Fe, K, La, Li, Mg, Mn, Mo, Na, Ni, P, S, Sr, V, Zn, and Zr. The lowest mineral content was found in A. hypochondriacus, and the highest one was found in A. dubius. For the classification, selected variables for all multivariate methods were Ba, Cr, Li, Mn, Ni, S, and Sr. Nonsupervised methods allowed us to distinguish between the three species of amaranth; however, PLS-DA supervised methods showed the best prediction ability.
对苋菜种子（苋属）进行了特征描述，包括反枝苋、刺苋和凹头苋。采用电感耦合等离子体光学原子光谱法测定元素浓度。使用模式识别方法对种子样品进行特征描述：无监督方法包括主成分分析和聚类分析；有监督方法为线性判别分析和偏最小二乘判别分析（PLS-DA）。报告了以下元素的浓度：Ag、Al、Ba、Ca、Co、Cr、Cu、Fe、K、La、Li、Mg、Mn、Mo、Na、Ni、P、S、Sr、V、Zn 和 Zr。矿物含量最低的是反枝苋，最高的是凹头苋。对于分类，所有多元方法的选择变量为 Ba、Cr、Li、Mn、Ni、S 和 Sr。无监督方法可以区分三种苋菜；然而，有监督的 PLS-DA 方法显示出最好的预测能力。
