塞尔维亚小麦中微量元素的主成分分析

Principal component analysis of trace elements in Serbian wheat.

作者信息

Skrbić Biljana, Durisić-Mladenović Natasa, Cvejanov Jelena

机构信息

Faculty of Technology, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia.

出版信息

J Agric Food Chem. 2005 Mar 23;53(6):2171-5. doi: 10.1021/jf0402577.

DOI:10.1021/jf0402577

PMID:15769152

Abstract

Trace elements (Cu, Fe, Pb, Hg, Cd, As, Mn, Zn) were analyzed quantitatively in 14 wheat samples collected from fields in all Serbian growing regions, harvested in 2002. Microelements were determined according to an atomic absorption spectrophotometric method. Principal component analyses (PCA) were performed on data matrices consisting of contents of trace elements in wheats (columns) and all Serbian wheat-growing regions (rows). It was found that four principal components account for 87.2% of the total variance in the data. The plot of component loadings showed significant groupings for concentration of some microelements. The component scores indicated the similarities among the Serbian wheat-growing regions. The loading plot reveals that there is no need to measure all of the variables to achieve the same classification. It is enough to measure one variable per group. Naturally, this conclusion is valid only within the limits of the present study of wheat grain samples from different parts of Serbia.

摘要

对2002年收获的、从塞尔维亚所有种植区的田间采集的14个小麦样本中的微量元素（铜、铁、铅、汞、镉、砷、锰、锌）进行了定量分析。微量元素根据原子吸收分光光度法测定。对由小麦中微量元素含量（列）和塞尔维亚所有小麦种植区（行）组成的数据矩阵进行了主成分分析（PCA）。发现四个主成分占数据总方差的87.2%。成分载荷图显示了一些微量元素浓度的显著分组。成分得分表明了塞尔维亚小麦种植区之间的相似性。载荷图表明，无需测量所有变量即可实现相同的分类。每组测量一个变量就足够了。当然，这一结论仅在本塞尔维亚不同地区小麦籽粒样本研究的范围内有效。