IDENTIFICATION OF GEOGRAPHICAL ORIGIN OF VEGETABLES AND FRUITS WITH THE USE OF CHEMOMETRIC AND STATISTICAL METHODS

被引：0

作者：

Pushkarova, Ya. N. ^{[1
]}

Sledzevskaya, A. B. ^{[1
]}

Semybratova, P. V. ^{[1
]}

Garbuz, A. G. ^{[1
]}

Nekos, A. N. ^{[1
]}

Kholin, Yu. V. ^{[1
]}

机构：

[1] Kharkov Natl Univ, Svobody Sq 4, UA-61022 Kharkov, Ukraine

来源：

METHODS AND OBJECTS OF CHEMICAL ANALYSIS | 2012年 / 7卷 / 04期

关键词：

qualitative chemical analysis; identification; foodstuff; trace elements; non-parametric statistics; chemometrics; probabilistic neural network;

D O I：

暂无

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The paper focuses on the identification of geographical origin of fruits and vegetables based on their composition using statistical and chemometric methods. 58 samples of potatoes and 22 samples of apples from various districts of Kharkiv city and Kharkiv region (Ukraine) were analyzed. Concentrations of Fe, Mn, Zn, Cu, Ni, Pb, Al, Co, Cr, and Cd ions in the samples were determined with the use of atomic absorption spectroscopy. Arrays of analytical results were processed with the use of different statistical and chemometric methods, including calculation of the Spearman's rank correlation coefficients, Kruskal-Wallis and Wilcoxon-Mann-Whitney tests, Principal Component Analysis. Probabilistic neural network were shown to be the efficient tool for identification of geographical origin of potatoes and apples samples.

引用

页码：184 / 191

页数：8

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