| Literature DB >> 29287432 |
Noelle Merchak1, Toufic Rizk2, Virginie Silvestre3, Gerald S Remaud3, Joseph Bejjani4, Serge Akoka3.
Abstract
In a previous work, we optimized and used a fast adiabatic 13C-INEPT (Insensitive Nuclei Enhanced by Polarization Transfer) experiment for the isotopomic analysis of olive oil samples, which allowed us quantifying individual fatty acids within triacylglycerols through multivariate linear regression models. The goal of this study was to validate these models and to evaluate the power of 13C-INEPT in the authentication of olive oils relative to gas chromatography (GC) and 1H NMR. In this respect, a new set of olive oil samples was analyzed by these three techniques. The analytical variables thus obtained as well as their corresponding long-term repeatability were compared. As a result, the reliability of the fatty acid quantification models was proven and the best classification of olive oils according to the altitude of the olive grove and to the morphological aspect (color) of the olives was achieved by means of 13C-INEPT.Entities:
Keywords: (13)C NMR; Fatty acids; Isotopic profile; Lipidomics; Multivariate linear regression; Olive oil classification; Polarization transfer; Triacylglycerols
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Year: 2017 PMID: 29287432 DOI: 10.1016/j.foodchem.2017.12.005
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514