Multivariate analysis of NMR fingerprint of the unsaponifiable fraction of virgin olive oils for authentication purposes

被引：100

作者：

Alonso-Salces, R. M. ^{[1
]}

Heberger, K. ^{[2
]}

Holland, M. V. ^{[1
]}

Moreno-Rojas, J. M. ^{[1
]}

Mariani, C. ^{[3
]}

Bellan, G. ^{[3
]}

Reniero, F. ^{[1
]}

Guillou, C. ^{[1
]}

机构：

[1] Commiss European Communities, Joint Res Ctr, Inst Hlth & Consumer Protect, Phys & Chem Exposure Unit, I-21020 Ispra, Italy

[2] Hungarian Acad Sci, Chem Res Ctr, H-1525 Budapest, Hungary

[3] Stn Sperimentale Ind Oil & Grassi SSOG, Lab Oli Grassi Vegetali & Anim, I-20133 Milan, Italy

来源：

FOOD CHEMISTRY | 2010年 / 118卷 / 04期

关键词：

Olive oil; Unsaponifiable; NMR fingerprinting; Pattern recognition; Multivariate data analysis; NUCLEAR-MAGNETIC-RESONANCE; CHROMATOGRAPHY-MASS SPECTROMETRY; ARTIFICIAL NEURAL-NETWORKS; SOLID-PHASE EXTRACTION; VEGETABLE-OILS; GAS-CHROMATOGRAPHY; PHENOLIC-COMPOUNDS; ALPHA-TOCOPHEROL; BETA-SITOSTEROL; HAZELNUT OIL;

D O I：

10.1016/j.foodchem.2008.09.061

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

A new approach to the geographical characterisation of virgin olive oils (VOOs) based on the H-1 NMR fingerprint of the unsaponifiable matter is presented. The H-1 NMR spectra of the unsaponifiable fraction of virgin olive oils from Spain, Italy, Greece, Tunisia, Turkey, and Syria were analysed by several pattern recognition techniques (LIDA, PLS-DA, SIMCA, and CART). PLS-DA (PLS-1 approach) obtained the best classification results for all classes. Moreover, H-1 NMR spectra of the bulk oil, and its corresponding unsaponifiable fraction, as well as the subfractions of the unsaponifiable fraction (alcohol, sterol, hydrocarbon, and tocopherol fractions) were studied in the search for the markers that multivariate techniques revealed to be related to the geographical origin of olive oils. Additionally, a preliminary study regarding H-1 NMR data of the bulk oil and the corresponding unsaponifiable fraction of VOOs suggested that these spectral data contained complementary information for the geographical characterisation of VOOs. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：956 / 965

页数：10

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