Environmental Soil Chemistry Laboratory, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan; Geological Survey of Japan (GSJ), National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567, Japan; Tsukuba Life Science Innovation (T-LSI) Program, School of Integrative and Global Majors, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan.
Environmental Soil Chemistry Laboratory, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan; Faculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki 305-8572, Japan.
Food Chem. 2019 Jun 15;283:656-664. doi: 10.1016/j.foodchem.2019.01.082. Epub 2019 Jan 19.
The aim of this study was to prove the usefulness of multielements as provenance markers of olive oils by evaluating their link with soil composition and their discriminatory power. Eleven elements in twenty-one olive oils and their paired soils from four Tunisian regions were characterized. Chemometrics have been implemented for ICP-MS data processing. Principal component analysis identified the predominant geochemical source of the elements in the oils based on their associations according to Goldschmidt's rule. Although a clear correlation was not proven, correspondence was identified between the discriminating elements for both the soils and olive oils, which included Fe, Rb, Mg, and Pb. Linear discriminant analysis achieved classification and prediction rates of 92.1% and 87.3%, respectively. Our study substantiates the validity of multielements as markers of the olive oils' provenance, and that an elemental fingerprinting approach can be successfully applied in the construction of a database of Tunisian olive oils.
本研究旨在通过评估其与土壤成分的关系及其区分能力，证明微量元素作为橄榄油产地标志物的有用性。对来自突尼斯四个地区的 21 种橄榄油及其配对土壤中的 11 种元素进行了特征描述。采用化学计量学方法对 ICP-MS 数据进行处理。主成分分析根据戈尔德施密特法则，根据元素之间的关联，确定了油中元素的主要地球化学来源。虽然没有证明存在明显的相关性，但在土壤和橄榄油中，都确定了具有区分能力的元素之间存在对应关系，这些元素包括 Fe、Rb、Mg 和 Pb。线性判别分析分别达到了 92.1%和 87.3%的分类和预测率。本研究证实了微量元素作为橄榄油产地标志物的有效性，并且元素指纹图谱方法可以成功应用于构建突尼斯橄榄油数据库。
