Literature DB >> 29287432

Olive oil characterization and classification by 13C NMR with a polarization transfer technique: A comparison with gas chromatography and 1H NMR.

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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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


  1 in total

1.  Characterization, Quantification and Quality Assessment of Avocado (Persea americana Mill.) Oils.

Authors:  Mei Wang; Ping Yu; Amar G Chittiboyina; Dilu Chen; Jianping Zhao; Bharathi Avula; Yan-Hong Wang; Ikhlas A Khan
Journal:  Molecules       Date:  2020-03-24       Impact factor: 4.411

  1 in total

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