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Geographical discrimination of olive oils from Cv. ‘Galega Vulgar’

•‘Galega Vulgar’ olive oils were classified as EVOO regardless the region origin.•Oils’ quality parameters and chemical composition were region-dependent.•FTIR allowed a non-invasive/non-destructive geographical origin authentication. Olive oils from seven Portuguese regions were selected to study t...

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Published in:Food chemistry 2023-01, Vol.398, p.133945-133945, Article 133945
Main Authors: Rodrigues, Nuno, Peres, Fátima, Casal, Susana, Santamaria-Echart, Arantzazu, Barreiro, Filomena, Peres, António M., Alberto Pereira, José
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cited_by cdi_FETCH-LOGICAL-c371t-771049fce69f7c7fcdbe6edb3de1f42976350e597a19e389ae06872c3291c9613
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container_end_page 133945
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container_start_page 133945
container_title Food chemistry
container_volume 398
creator Rodrigues, Nuno
Peres, Fátima
Casal, Susana
Santamaria-Echart, Arantzazu
Barreiro, Filomena
Peres, António M.
Alberto Pereira, José
description •‘Galega Vulgar’ olive oils were classified as EVOO regardless the region origin.•Oils’ quality parameters and chemical composition were region-dependent.•FTIR allowed a non-invasive/non-destructive geographical origin authentication. Olive oils from seven Portuguese regions were selected to study the effect of the geographical origin on the oils’ composition. Quality parameters, fatty acids, tocopherols, hydroxytyrosol and tyrosol derivatives, and oxidative stability were evaluated. All olive oils could be classified as extra virgin, and the geographical origin significantly affected the oils chemical composition. Principal component analysis further confirmed the significant impact of the geographical origin on the composition and, indirectly, on stability of the oils, showing that the evaluated parameters could be used as markers for geographical origin identification. Alternatively, Fourier transform infrared spectroscopy was applied, allowing to establish a linear discriminant model that correctly identified the geographical origin of the olive oils with a mean sensitivity of 99 ± 3 % (internal validation), confirming the impact of the oil origin on its characteristics. This finding allowed foreseeing the future application of the spectroscopy approach as a green, fast and non-invasive authentication tool.
doi_str_mv 10.1016/j.foodchem.2022.133945
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subjects Fatty acids
FTIR
Hydroxytyrosol
Linear Discriminant Analysis
Oxidative stability
Tocopherols
title Geographical discrimination of olive oils from Cv. ‘Galega Vulgar’
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