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糙米中微量元素的浓度:利用先进的数据挖掘技术进行评估。

Non-essential element concentrations in brown grain rice: Assessment by advanced data mining techniques.

机构信息

INQUISAL (CONICET), Av. Ejército de los Andes, 950, San Luis, Argentina.

IQUIBA-NEA (UNNE-CONICET), Av. Libertad, 5470, Corrientes, Argentina.

出版信息

Environ Sci Pollut Res Int. 2018 Aug;25(22):21362-21367. doi: 10.1007/s11356-017-9017-2. Epub 2017 Apr 20.

DOI:10.1007/s11356-017-9017-2
PMID:28424959
Abstract

The concentrations of 17 non-essential elements (Al, As, Ba, Be, Cd, Ce, Cr, Hg, La, Li, Pb, Sb, Sn, Sr, Th, Ti, and Tl) were determined in brown grain rice samples of two varieties: Fortuna and Largo Fino. The samples were collected from the four main producing regions of Corrientes province (Argentina). Quantitative determinations were performed by inductively coupled plasma mass spectrometry (ICP-MS), using a validated method. The contents of As, Be, Cd, Ce, Cr, Hg, Pb, Sb, Sn, Th, and Tl were very low or not detected in most samples. The non-essential element levels detected were in line with studies conducted in rice from different parts of the world. In order to characterize the influence of geographical origin in the samples, the following classification methods were carried out: linear discriminant analysis (LDA), k-nearest neighbors (k-NN), partial least squares discriminant analysis (PLS-DA), support vector machine (SVM) and random forests (RF). The best performance was obtained by using RF (96%) and SVM (96%). The results reported here showed the variation in the non-essential element profiles in rice grain depending on the geographical origin.

摘要

两种品种的糙米(Fortuna 和 Largo Fino)样本中的 17 种非必需元素(Al、As、Ba、Be、Cd、Ce、Cr、Hg、La、Li、Pb、Sb、Sn、Sr、Th、Ti 和 Tl)的浓度进行了测定。这些样本是从阿根廷科连特斯省的四个主要产区采集的。采用经过验证的方法,通过电感耦合等离子体质谱法(ICP-MS)进行定量测定。大多数样本中的 As、Be、Cd、Ce、Cr、Hg、Pb、Sb、Sn、Th 和 Tl 的含量非常低或未检出。所检测到的非必需元素水平与来自世界不同地区的稻米研究一致。为了描述样本中地理起源的影响,进行了以下分类方法:线性判别分析(LDA)、k-最近邻(k-NN)、偏最小二乘判别分析(PLS-DA)、支持向量机(SVM)和随机森林(RF)。使用 RF(96%)和 SVM(96%)得到了最佳性能。报告的结果表明,稻米中非必需元素谱的变化取决于地理起源。

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