Assessment of the triacylglycerol fraction of olive oil by 1D-NMR spectroscopy: exploring the usefulness of DEPT tool on the peak assignments of 13C NMR spectra
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Nuclear magnetic resonance (NMR) spectroscopy has been extensively used to date for the analysis of olive oil samples and constitutes a valuable tool particularly for the study of the triacylglycerol fraction, which is the major fraction of olive oils. In this report, we demonstrate the usefulness of one-dimensional NMR spectroscopy (1H and 13C NMR) for the non-destructive analysis of the triacylglycerol fraction of olive oils. To achieve this goal, 13C spectral editing technique known as distortionless enhancement by polarization transfer (DEPT), namely 13C NMR DEPT 45, 13C NMR DEPT 90, 13C NMR DEPT 135 was used for the analysis of the triacylglycerol fraction of the olive oil sample owing to the simplification on peak assignments of 13C spectra. The suitability and usefulness of those DEPT experiments using different angle values in only one pulse sequence will be explored on the interpretation of 13C NMR spectra. In overall, DEPT tool improves the sensitivity of the analysis due to the enhancement in the signal-to-noise ratio, which is important for this type of analysis contributing to the characterization of olive oils.
KeywordsOlive oil Fatty acid Triacylglycerol fraction Nuclear magnetic resonance (NMR)
The authors thank Project “Por3O—Portuguese Olive Oil Omics for traceability and authenticity—PTDC/AGRPRO/2003/2014, funding by European Regional Development Fund (FEDER) and National Funds through Fundação para a Ciência e a Tecnologia (FCT); Project “MedOOmics—Mediterranean Extra Virgin Olive Oil Omics: profiling and fingerprinting- Arimnet2/0001/2015” funding by the National Funds through Fundação para a Ciência e a Tecnologia (FCT); and FEDER funds through the Operational Program for Competitive Factors (COMPETE) for funding the FCT Projects UID/AGR/00115/2019 and UID/QUI/0619/2016, respectively. Nuno Martins acknowledges French National Agency for Research (ANR-15-ARM2-0002-04) supported by the European Union’s Seventh Framework Programme for research, technological development and demonstration under Grant Agreement Number 618127 (ARIMNet2).
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Conflict of interest
The authors declare that they have no conflict of interest.
Compliance with ethics requirements
This article does not contain any studies with human or animal subjects.
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