Monovarietal extra virgin olive oils from 3 major Turkish cultivars (Gemlik, Ayvalık, Memecik) and 1 Slovenian cultivar (Bianchera) were analysed by standard and presaturation proton NMR experiments. In the latter method, signals arising from major lipid fractions upfield of 5.6 ppm were suppressed and, compared to standard proton experiment, considerable improvement was achieved in the intensities of the signals downfield of 5.6 ppm. For each sample, specific data sets were achieved by replacing the 0.04-ppm integration buckets in the region of 5.6–10.0 ppm of standard proton spectra with that of presaturation experiment values. Multivariate statistical analyses showed that olive oils of different olive cultivars could be effectively classified based on their one-dimensional proton NMR profiles. The buckets containing the signals belonging to protons of aldehydes (9.0–10.0 ppm), phenolic compounds (6.0–7.0 ppm), terpenes (4.0–5.0 ppm) and diacylglycerols (3.8–4.2 ppm) were the major discriminants of the oils used in the study.

通过标准质子和预饱和质子NMR实验分析了来自3个主要土耳其品种（Gemlik，Ayvalık，Memecik）和1个斯洛文尼亚品种（Bianchera）的单品种特级初榨橄榄油。在后一种方法中，抑制了由5.6 ppm的主要脂质级分高场产生的信号，并且与标准质子实验相比，在5.6 ppm的低场信号强度方面取得了显着改善。对于每个样品，通过将标准质子谱在5.6–10.0 ppm范围内的0.04 ppm积分桶替换为预饱和实验值，可获得特定的数据集。多元统计分析表明，基于橄榄的一维质子NMR谱可以对不同品种的橄榄油进行有效分类。