Rongai Domenico, Sabatini Nadia, Del Coco Laura, Perri Enzo, Del Re Paolo, Simone Nicola, Marchegiani Donato, Fanizzi Francesco Paolo
Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Centre for Plant Protection and Certification, via C.G. Bertero, 22, 00156 Roma, Italy.
Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Centre for Engineering and Agro-Food Processing, via L. Petruzzi, 75, 65013 Città Sant'Angelo, Italy.
Foods. 2017 Nov 7;6(11):96. doi: 10.3390/foods6110096.
¹H Nuclear Magnetic Resonance (NMR) spectroscopy coupled with multivariate analysis has been applied in order to investigate metabolomic profiles of more than 200 extravirgin olive oils (EVOOs) collected in a period of over four years (2009-2012) from different geographic areas. In particular, commercially blended EVOO samples originating from different Italian regions (Tuscany, Sicily and Apulia), as well as European (Spain and Portugal) and non-European (Tunisia, Turkey, Chile and Australia) countries. Multivariate statistical analysis (Principal Component Analisys (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA)) applied on the NMR data revealed the existence of marked differences between Italian (in particular from Tuscany, Sicily and Apulia regions) and foreign (in particular Tunisian) EVOO samples. A possible correlation with available climate data has been also investigated. These results aim to develop a powerful NMR-based tool able to protect Italian olive oil productions.
氢核磁共振(¹H NMR)光谱结合多变量分析已被用于研究在四年多时间(2009 - 2012年)内从不同地理区域收集的200多种特级初榨橄榄油(EVOO)的代谢组学特征。具体而言,包括源自意大利不同地区(托斯卡纳、西西里和普利亚)以及欧洲(西班牙和葡萄牙)和非欧洲(突尼斯、土耳其、智利和澳大利亚)国家的商业混合EVOO样品。对NMR数据应用多变量统计分析(主成分分析(PCA)和正交偏最小二乘判别分析(OPLS - DA))揭示了意大利(特别是来自托斯卡纳、西西里和普利亚地区)和外国(特别是突尼斯)EVOO样品之间存在显著差异。还研究了与可用气候数据的可能相关性。这些结果旨在开发一种强大的基于NMR的工具,以保护意大利橄榄油生产。