Eriotou Effimia, Karabagias Ioannis K, Maina Sofia, Koulougliotis Dionysios, Kopsahelis Nikolaos
Department of Food Science and Technology, Ionian University, 28100 Argostoli, Kefalonia Greece.
Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, Greece.
Eur Food Res Technol. 2021;247(12):3083-3098. doi: 10.1007/s00217-021-03863-2. Epub 2021 Sep 20.
The aim of the present study was to characterize the aroma profile of olive oil of the "Ntopia" (local) cultivar from the Ionian islands (Zakynthos, Kefalonia, Leukada, and Kerkyra) (Greece), and investigate whether specific volatile compounds could be considered as indicators of olive oil geographical origin, using computational statistics. In this context, 137 olive oil samples were subjected to headspace solid phase microextraction coupled to gas chromatography/mass spectrometry using the internal standard method. Computational statistics on the semi-quantitative data of olive oil samples, as rapid machine learning algorithms, showed that specific volatile compounds could be used as indicators of geographical origin of olive oil of the "Ntopia" cultivar, among the four main Ionian islands. Volatile compounds such as ethanol, pentanal, 2,4-dimethylheptane, 3,7-dimethyl-1,3,6-octatriene (E), 2,5-dimethylnonane, 1-hexanol, 6-methyl-5-hepten-2-one, octanal, dl-Limonene, acetic acid hexyl ester and dodecane could aid to the geographical origin discrimination of "Ntopia" olive oil cultivar when two (Zakynthos and Kefalonia) or four (Zakynthos, Kefalonia, Leukada and Kerkyra) Ionian islands are subjected to statistical analysis. The discrimination rate using the cross-validation method was 100% and 85.7%, respectively. These results were further evaluated using training and holdout partitions, during which a comparable classification rate was obtained.
The online version contains supplementary material available at 10.1007/s00217-021-03863-2.
本研究的目的是对来自希腊伊奥尼亚群岛（扎金索斯岛、凯法利尼亚岛、莱夫卡达岛和科孚岛）的“Ntopia”（当地）品种橄榄油的香气特征进行表征，并使用计算统计学方法研究特定挥发性化合物是否可被视为橄榄油地理来源的指标。在此背景下，采用内标法对137个橄榄油样品进行顶空固相微萃取结合气相色谱/质谱分析。作为快速机器学习算法，对橄榄油样品的半定量数据进行的计算统计学分析表明，在伊奥尼亚群岛的四个主要岛屿中，特定挥发性化合物可作为“Ntopia”品种橄榄油地理来源的指标。当对两个（扎金索斯岛和凯法利尼亚岛）或四个（扎金索斯岛、凯法利尼亚岛、莱夫卡达岛和科孚岛）伊奥尼亚岛屿进行统计分析时，乙醇、戊醛、2,4 - 二甲基庚烷、3,7 - 二甲基 - 1,3,6 - 辛三烯（E）、2,5 - 二甲基壬烷、1 - 己醇、6 - 甲基 - 5 - 庚烯 - 2 - 酮、辛醛、dl - 柠檬烯、乙酸己酯和十二烷等挥发性化合物有助于“Ntopia”橄榄油品种的地理来源鉴别。使用交叉验证方法的鉴别率分别为100%和85.7%。使用训练和留出分区进一步评估了这些结果，在此期间获得了可比的分类率。
在线版本包含可在10.1007/s00217 - 021 - 03863 - 2获取的补充材料。
