NMR-based metabolomics for olive oil cultivar classification: A comparison with standard targeted analysis of fatty acids and triglycerides

Chromatographic techniques such as GC and HPLC are traditionally used for the analysis classification of olive oil, while NMR is another powerful technique. In this paper we first time to classify oil produced by four cultivars, namely ‘Arbequina’, ‘Arbosana’, ‘Koroneiki’, ‘Sikitita’, planted in super-high-density frames California, United States. We compared results with targeted fatty acids triglycerides obtained GC-FID UHPLC-CAD, respectively. All three were able distinguish between from generating best models. require time-consuming sample preparation; both UHPLC-CAD lengthy protocols different classes compounds, rapid conduct a simultaneous broad-spectrum which led discovery more biomarkers. addition, was good agreement determination acids, found Bland-Altman analysis, although several cases it not among individual acids.