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

被引:27
作者
Merchak, Noelle [1 ,2 ]
Rizk, Toufic [2 ]
Silvestre, Virginie [1 ]
Remaud, Gerald S. [1 ]
Bejjani, Joseph [2 ]
Akoka, Serge [1 ]
机构
[1] Univ Nantes, CNRS UMR 6230, EBSI Team, Interdisciplinary Chem Synth Anal Modelling CEISA, 2 Rue Houssiniere,BP 92208, F-44322 Nantes 3, France
[2] St Joseph Univ Beirut, Res Unit Technol & Valorisat Agroalimentaire, Lab Metrol & Isotop Fractionat, Fac Sci, POB 17-5208, Beirut 11042020, Lebanon
关键词
Triacylglycerols; Fatty acids; Lipidomics; Isotopic profile; Olive oil classification; C-13; NMR; Polarization transfer; Multivariate linear regression; FATTY-ACID; CHEMOMETRICS; TRIACYLGLYCEROL; CULTIVARS; TOOL;
D O I
10.1016/j.foodchem.2017.12.005
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
In a previous work, we optimized and used a fast adiabatic C-13-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 C-13-INEPT in the authentication of olive oils relative to gas chromatography (GC) and H-1 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 C-13-INEPT.
引用
收藏
页码:717 / 723
页数:7
相关论文
共 22 条
[1]   Characterisation of virgin olive oil of Italian olive cultivars:: 'Frantoio' and 'Leccino', grown in Andalusia [J].
Aguilera, MP ;
Beltrán, G ;
Ortega, D ;
Fernández, A ;
Jiménez, A ;
Uceda, M .
FOOD CHEMISTRY, 2005, 89 (03) :387-391
[2]  
[Anonymous], 2005, P EGC 2005 RNTI E 3
[3]  
Aparicio R., 2013, Handbook of Olive Oil: Analysis and Properties, V2nd
[4]   Chemometric classification of olive cultivars based on compositional data of oils [J].
Brescia, MA ;
Alviti, G ;
Liuzzi, V ;
Sacco, A .
JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY, 2003, 80 (10) :945-950
[5]   Isotopic finger-printing of active pharmaceutical ingredients by 13C NMR and polarization transfer techniques as a tool to fight against counterfeiting [J].
Bussy, Ugo ;
Thibaudeau, Christophe ;
Thomas, Freddy ;
Desmurs, Jean-Roger ;
Jamin, Eric ;
Remaud, Gerald S. ;
Silvestre, Virginie ;
Akoka, Serge .
TALANTA, 2011, 85 (04) :1909-1914
[6]   NMR and statistical study of olive oils from Lazio: A geographical, ecological and agronomic characterization [J].
D'Imperio, Marco ;
Mannina, Luisa ;
Capitani, Donatella ;
Bidet, Olivier ;
Rossi, Enrico ;
Bucarelli, Francesco M. ;
Quaglia, Giovanni B. ;
Segre, Annalaura .
FOOD CHEMISTRY, 2007, 105 (03) :1256-1267
[7]   Statistical analysis on Sicilian olive oils [J].
D'Imperio, Marco ;
Dugo, Giacomo ;
Alfa, Maria ;
Mannina, Luisa ;
Segre, A. L. .
FOOD CHEMISTRY, 2007, 102 (03) :956-965
[8]   ELUCIDATION OF OLIVE OIL CLASSIFICATION BY CHEMOMETRICS [J].
EDDIB, O ;
NICKLESS, G .
ANALYST, 1987, 112 (04) :391-395
[9]  
Fauhl C, 2000, MAGN RESON CHEM, V38, P436, DOI 10.1002/1097-458X(200006)38:6<436::AID-MRC672>3.3.CO
[10]  
2-O