Synergy of analytical methods based on chromatography, mass spectrometry and spectroscopy combined with chemometrics was tested in the herein presented pilot authentication study of Croatian extra virgin olive oils (EVOOs). Fatty acid (FA) composition was determined by gas chromatography-mass spectrometry (GC-MS), triacylglycerol (TAG) composition by matrix-assisted laser desorption ionization time-of-flight/mass spectrometry (MALDI-TOF/MS), and non-selective analysis was done by near-infrared spectroscopy (NIRS). Chemometric methods were applied on measured data where TAG and NIR spectra showed the highest potential for geographical origin discrimination. TAG profiling data had the best classification power for EVOOs in the PCA, whereas PLS-DA models with high classification accuracy were based on NIRS significant variables or TAG data. Furthermore, NIRS data proved valuable in prediction of quality parameters. Therefore, we presented NIRS as quick, cheap and reliable technique for authenticity study of EVOOs, but for complete characterization of olive oils MALDI-TOF/MS was indispensable.

在本文介绍的克罗地亚特级初榨橄榄油（EVOOs）的初步验证研究中，测试了基于色谱，质谱和光谱结合化学计量学的分析方法的协同作用。脂肪酸（FA）组成通过气相色谱-质谱（GC-MS）确定，三酰基甘油（TAG）组成通过基质辅助激光解吸电离飞行时间/质谱（MALDI-TOF / MS）确定，选择性分析是通过近红外光谱（NIRS）进行的。化学计量学方法应用于测量的数据，其中TAG和NIR光谱显示出最高的地理起源识别潜力。TAG分析数据对PCA中的EVOO具有最好的分类能力，而分类精度高的PLS-DA模型基于NIRS重要变量或TAG数据。此外，NIRS数据被证明对预测质量参数很有用。因此，我们将NIRS提出为快速，廉价和可靠的技术，用于EVOOs的真实性研究，但要完整鉴定橄榄油，MALDI-TOF / MS必不可少。