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Proton Transfer Reaction−Mass Spectrometry (PTR-MS) Headspace Analysis for Rapid Detection of Oxidative Alteration of Olive Oil

Eugenio Aprea,*^†^§ Franco Biasioli,^† Graziano Sani,^# Claudio Cantini,^# Tilmann D. Märk,^§ and Flavia Gasperi^†

Agri-Food Quality Department, IASMA Research Center, Via E. Mach 1, 38010 San Michele all'Adige (TN), Italy; Institut fr Ionenphysik und Angewandte Physik, Universitt Innsbruck, Technikerstrasse 25, A-6020 Innsbruck, Austria; Istituto per la Valorizzazione del Legno e delle Specie Arboree, Consiglio Nazionale delle Ricerche, via Madonna del Piano, Sesto Fiorentino 50019, Italy; and Department of Plasmaphysics, University of Bratislava, SK-84248 Bratislava, Slovak Republic

J. Agric. Food Chem., 2006, 54 (20), pp 7635–7640

DOI: 10.1021/jf060970r

Publication Date (Web): September 2, 2006

Corresponding author (telephone ++39 0461 61 53 88; fax ++39 0461 65 09 56; e-mail eugenio.aprea@iasma.it).

†

IASMA Research Center.

Universität Innsbruck.

Consiglio Nazionale delle Ricerche.

University of Bratislava.

Abstract

Olive oil has been characterized by rapid proton transfer reaction−mass spectrometry (PTR-MS) headspace analysis without any concentration of the volatiles or pretreatment of the samples. Comparison of extra virgin and defective (rancid) samples, as described by a panel of sensory judges, and the monitoring of thermo-oxidation processes are discussed. Multivariate analysis of PTR-MS data has been carried out and cross-validated, providing (i) reliable classification models for extra virgin oil as opposed to defective oil and (ii) calibration models able to predict independently thermo-oxidative degradation and the corresponding peroxide value. PTR-MS fragmentation patterns of volatiles considered in this study are also reported.

Keywords: olive oil; proton transfer reaction−mass spectrometry; lipid oxidation; peroxide value; multivariate analysis; fragmentation patterns; volatile compounds

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History

Published In Issue October 04, 2006
Received for review April 6, 2006. Revised manuscript received July 21, 2006. Accepted July 30, 2006. This work was partially supported by the PAT-CNR Project AGRIIND and by the FWF, Wien, Austria.