Nasr Emna G, Epova Ekaterina N, de Diego Alberto, Souissi Radhia, Hammami Mohamed, Abderrazak Houyem, F X Donard Olivier
Institut des Sciences Analytiques et de Physicochimie Pour l'Environnement et les Matériaux, Université de Pau et des Pays de l'Adour, 64000 Pau, France.
Laboratoire des Matériaux Utiles, Institut National de Recherche et d'Analyse Physicochimique Technopole de Sidi Thabet, Ariana 2020, Tunisia.
Foods. 2021 Dec 29;11(1):82. doi: 10.3390/foods11010082.
The aim of this study was to investigate the levels of trace elements in olive oils from different locations and their use for geographical authentication. Concentrations of seventeen elements were determined in a total of 42 olive oils from Tunisia, Spain (Basque country), and southern France, and in nine soil samples from Tunisia by quadrupole inductively plasma mass spectrometry. The compilation of appropriate techniques integrated into the analytical procedure achieved a precision (RSD) between 2% and 15% and low limits of detection (between 0.0002 and 0.313 µg kg). The accuracy of the analytical method applied for olive oil analysis was evaluated using SRM NIST 2387 Peanut butter. The recoveries obtained after microwave-assisted digestion for the certified elements ranged between 86% and 102%. Concentrations of non-certified elements (V, Cr, Co, Ni, Ba, Rb, Sr, Cd, Pb, and As) were presented. The use of Pearson correlation applied on paired Tunisian oil/soil samples has shown that several elements (Mg, Mn, Ni, and Sr) were significantly correlated. The multivariate statistics using principal component analysis have successfully discriminated against three studied origins. The most significant variables were the elemental concentrations of Cu, Cr, Fe, Mn, Sr, V, and Zn. This study shows the potential of applying trace elements profiles for olive oil geographical discrimination.
本研究的目的是调查不同产地橄榄油中的微量元素水平及其在地理认证中的应用。采用四极杆电感耦合等离子体质谱法测定了来自突尼斯、西班牙（巴斯克地区）和法国南部的42种橄榄油以及突尼斯的9份土壤样品中17种元素的含量。分析过程中采用的适当技术组合实现了2%至15%的精密度（相对标准偏差）和较低的检测限（0.0002至0.313 µg/kg）。使用SRM NIST 2387花生酱评估了用于橄榄油分析的分析方法的准确性。经微波辅助消解后，认证元素的回收率在86%至102%之间。给出了未认证元素（钒、铬、钴、镍、钡、铷、锶、镉、铅和砷）的含量。对突尼斯油/土配对样品进行的Pearson相关性分析表明，几种元素（镁、锰、镍和锶）具有显著相关性。使用主成分分析的多元统计方法成功区分了三个研究产地。最显著的变量是铜、铬、铁、锰、锶、钒和锌的元素浓度。本研究表明了应用微量元素谱进行橄榄油地理鉴别的潜力。
