基于多元素含量分析结合化学计量学技术的橄榄油等级鉴别方法

基于多元素含量分析结合化学计量学技术对特级初榨橄榄油和精炼橄榄油进行等级鉴别。结果表明，采用主成分分析可成功区分特级初榨橄榄油和精炼橄榄油，建立可靠的橄榄油等级鉴别的正交偏最小二乘法判别分析模型，结果与主成分分析一致，且各等级橄榄油组内聚类效果明显；聚类分析也有效鉴别了两种等级橄榄油。筛选出区分两个等级橄榄油的8 种特征性元素，分别为Al、Fe、Cu、Ba、V、Sc、La、Zn。因此，采用多元素含量分析结合化学计量学技术可用于特级初榨橄榄油和精炼橄榄油的鉴别。

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

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, multi-element analysis combined with chemometrics can be used to discriminate extra virgin olive oil from refined olive oil.