The distribution of trace elements in olive oil and the relationship between trace elements and the producing areas of olive oils were investigated. The olive oil was diluted by kerosene, and 16 trace elements in 18 olive oil samples from different producing areas (China, Italy, Spain, and Greece) were determined using inductively coupled plasma tandem mass spectrometry (ICP-MS/MS). The applicability test showed that there was a strong linear correlation between the trace elements in olive oil. The principal component analysis and cluster analysis were applied to evaluate the distribution of trace elements of the determination results after data standardization. The results of principal component analysis showed that the cumulative variance contribution rate of the first five principal components was 80.961%, which could represent the information of original data matrix. Factor analysis showed that the characteristic elements of olive oil were Na, Ti, Cu, Zn, Sr, and Pb. Cluster analysis clustered 18 olive oil samples into four groups. The content of trace elements in olive oil from different producing areas had obvious differences, which could realize the preliminary discrimination of olive oil from different producing areas. Through principal component analysis and cluster analysis of trace elements, the use of characteristic trace elements could effectively trace and distinguish from the producing areas of olive oil.
YANG Wenyi
,
CHEN Lin
,
ZHOU Xuezhong
. Statistical comparison of trace elements in olive oil based on principal component analysis and cluster analysis[J]. Food and Fermentation Industries, 2020
, 46(14)
: 222
-227
.
DOI: 10.13995/j.cnki.11-1802/ts.024115
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