Grade Identification of Olive Oil Based on Multi-element Analysis and Chemometrics

被引：1

作者：

Li X. ^{[1
,2
]}

Yi X. ^{[2
]}

Fan X. ^{[2
]}

Cai W. ^{[2
]}

Deng X. ^{[2
]}

Guo D. ^{[2
]}

Ding T. ^{[3
]}

Liu H. ^{[3
]}

Niu B. ^{[1
]}

Zeng J. ^{[2
]}

机构：

[1] School of Life Sciences, Shanghai University, Shanghai

[2] Animal, Plant and Food Inspection and Quarantine Center, Shanghai Customs, Shanghai

[3] Animal, Plant and Food Testing Center, Nanjing Customs, Nanjing

来源：

Shipin Kexue/Food Science | 2022年 / 43卷 / 08期

关键词：

Chemometrics; Element; Extra virgin olive oil; Grade identification; Refined olive oil;

D O I：

10.7506/spkx1002-6630-20210118-201

中图分类号：

学科分类号：

摘要：

Extra virgin olive oil and refined olive oil were evaluated by multi-element analysis combined with chemometrics. The results showed that principal component analysis (PCA) successfully distinguished extra virgin olive oil from refined olive oil, and a reliable orthogonal partial least squares discriminant analysis (OPLS-DA) model was established to identify the grade of olive oil. The results of OPLS-DA were consistent with those of PCA, and good clustering performance was observed on each grade of olive oil; cluster analysis also effectively discriminated the two grades of olive oil.Eight characteristic elements including Al, Fe, Cu, Ba, V, Sc, La and Zn were selected to distinguish them. Therefore, multielement analysis combined with chemometrics can be used to discriminate extra virgin olive oil from refined olive oil. © 2022, China Food Publishing Company. All right reserved.

引用

页码：317 / 323

页数：6

共 25 条

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