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Trace mineral content of Argentinean raw propolis by neutron activation analysis (NAA): assessment of geographical provenance by chemometrics.

机译:通过中子活化分析(NAA)跟踪阿根廷生蜂胶的微量矿物质含量:通过化学计量学评估地理来源。

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Multielement analysis of raw propolis samples, collected from different central Argentinean regions, was carried out by Neutron Activation Analysis (NAA) aiming at developing a reliable method in their traceability. This work presents a characterization of 96 raw propolis samples selected from three different geographical origins in middle region of Argentina. Multivariate chemometric techniques, such as Principal Component Analysis (PCA), were applied to perform a preliminary study of the data structure. Two supervised pattern recognition procedures including stepwise linear discriminant analysis (LDA) and K-nearest neighbors (kNN) were used to classify samples into the three categories considered on the basis of the chemical data. Eight trace elements (Br, Co, Cr, Fe, Rb, Sb, Sm and Zn) were selected by stepwise-LDA explaining the classification of propolis according to their geographical origin. Application of k-nearest neighbor classification procedure to these eight selected variables produced a good correlation (98% correct classification ratio) of propolis with its provenance. The trace element profiles provided sufficient information to develop classification rules for propolis identification according to their provenance.
机译:中子活化分析(NAA)进行了从阿根廷中部不同地区收集的蜂胶原料样品的多元素分析,目的是开发一种可靠的可追溯性方法。这项工作描述了从阿根廷中部地区的三个不同地理起源中选取的96种蜂胶原样品的特性。应用多元化学计量学技术(例如主成分分析(PCA))对数据结构进行初步研究。使用两种监督模式识别程序,包括逐步线性判别分析(LDA)和K近邻(kNN),将样品分类为基于化学数据考虑的三类。通过逐步LDA选择了八个痕量元素(Br,Co,Cr,Fe,Rb,Sb,Sm和Zn),以解释蜂胶根据其地理来源的分类。对这8个选择的变量应用k最近邻居分类程序可以使蜂胶与其来源具有良好的相关性(正确分类比率为98%)。痕量元素概况提供了足够的信息,可根据其来源制定用于蜂胶识别的分类规则。

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