Department of STAAM, University of Molise, I-86100 Campobasso, Italy.
Talanta. 2010 Mar 15;80(5):2141-8. doi: 10.1016/j.talanta.2009.11.021. Epub 2009 Nov 13.
An NMR and chemometric analytical approach to classify extra virgin olive oils according to their geographical origin was developed within the European TRACE project (FP6-2003-FOOD-2-A, contract number: 0060942). Olive oils (896 samples) of three consecutive harvesting years (2005, 2006, and 2007) coming from Mediterranean areas were analyzed by (1)H NMR spectroscopy. Olive oil samples from Liguria, an Italian region, were chosen as a case study and PLS-DA and SIMCA modeling analyses were used to build up statistical models both to discriminate between Ligurian and non-Ligurian olive oils and to define the Ligurian olive oil class to confirm the declared provenience.
一种 NMR 和化学计量学分析方法被开发出来，用于根据地理来源对特级初榨橄榄油进行分类，该方法属于欧洲 TRACE 项目（FP6-2003-FOOD-2-A，合同号：0060942）。对来自地中海地区的三个连续收获年份（2005、2006 和 2007）的橄榄油（896 个样本）进行了（1）H NMR 光谱分析。选择来自意大利利古里亚地区的橄榄油样本作为案例研究，使用 PLS-DA 和 SIMCA 建模分析来建立统计模型，以区分利古里亚橄榄油和非利古里亚橄榄油，并定义利古里亚橄榄油类别，以确认申报的产地。
