Predicting extra virgin olive oil freshness during storage by fluorescence spectroscopy

Virgin olive oil quality relates to flavor and unique health benefits. Some of these properties are at the most desirable level when the oil is just extracted, since it is not a product that improves with age. On the contrary, the concentrations of many compounds change during its shelf-life. These...

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Main Authors: R. Aparicio-Ruiz, N. Tena, I. Romero, R. Aparicio, D. L. García-González, M. T. Morales
Format: Article
Language:English
Published: Consejo Superior de Investigaciones Científicas 2017-12-01
Series:Grasas y Aceites
Subjects:
Online Access:http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1686
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author R. Aparicio-Ruiz
N. Tena
I. Romero
R. Aparicio
D. L. García-González
M. T. Morales
author_facet R. Aparicio-Ruiz
N. Tena
I. Romero
R. Aparicio
D. L. García-González
M. T. Morales
author_sort R. Aparicio-Ruiz
collection DOAJ
description Virgin olive oil quality relates to flavor and unique health benefits. Some of these properties are at the most desirable level when the oil is just extracted, since it is not a product that improves with age. On the contrary, the concentrations of many compounds change during its shelf-life. These changes reveal the aging of the oil but do not necessarily mean decay in sensory properties, so in some cases an aged oil from healthy olives may be better qualified than a fresh one from olives affected by fermentation. The aim of this work is to analyze different methodologies proposed for assessing the quality of virgin olive oil with implications in freshness and aging of the oil, and to highlight the possibilities of rapid spectrofluorimetric techniques for assessing oil freshness by checking the evolution of pigments during storage. The observed change in the selected spectral features and mathematical modelling over time was compared with the accepted model for predicting the amount of pyropheophytin a, which is based on isokinetic studies. The best regression was obtained for 655 nm (adjusted-R2 = 0.91) wavelength, which matches the distinctive band of pigments. The two mathematical models described in this study highlight the usefulness of pigments in the prediction of the shelf-life of extra virgin olive oil.
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spelling doaj.art-9137d68d2c1f487fa3052695d02c88492022-12-21T22:25:41ZengConsejo Superior de Investigaciones CientíficasGrasas y Aceites0017-34951988-42142017-12-01684e219e21910.3989/gya.03321711652Predicting extra virgin olive oil freshness during storage by fluorescence spectroscopyR. Aparicio-Ruiz0https://orcid.org/0000-0003-1093-1928N. Tena1https://orcid.org/0000-0003-0933-5192I. Romero2https://orcid.org/0000-0003-3811-1577R. Aparicio3https://orcid.org/0000-0001-5538-4433D. L. García-González4https://orcid.org/0000-0003-0735-8470M. T. Morales5https://orcid.org/0000-0001-7058-4433Instituto de la Grasa (CSIC)Instituto de la Grasa (CSIC)Instituto de la Grasa (CSIC)Instituto de la Grasa (CSIC)Instituto de la Grasa (CSIC)Department of Analytical Chemistry, Universidad de SevillaVirgin olive oil quality relates to flavor and unique health benefits. Some of these properties are at the most desirable level when the oil is just extracted, since it is not a product that improves with age. On the contrary, the concentrations of many compounds change during its shelf-life. These changes reveal the aging of the oil but do not necessarily mean decay in sensory properties, so in some cases an aged oil from healthy olives may be better qualified than a fresh one from olives affected by fermentation. The aim of this work is to analyze different methodologies proposed for assessing the quality of virgin olive oil with implications in freshness and aging of the oil, and to highlight the possibilities of rapid spectrofluorimetric techniques for assessing oil freshness by checking the evolution of pigments during storage. The observed change in the selected spectral features and mathematical modelling over time was compared with the accepted model for predicting the amount of pyropheophytin a, which is based on isokinetic studies. The best regression was obtained for 655 nm (adjusted-R2 = 0.91) wavelength, which matches the distinctive band of pigments. The two mathematical models described in this study highlight the usefulness of pigments in the prediction of the shelf-life of extra virgin olive oil.http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1686freshnesspigmentspyropheophytinspectrofluorimetryvirgin olive oil
spellingShingle R. Aparicio-Ruiz
N. Tena
I. Romero
R. Aparicio
D. L. García-González
M. T. Morales
Predicting extra virgin olive oil freshness during storage by fluorescence spectroscopy
Grasas y Aceites
freshness
pigments
pyropheophytin
spectrofluorimetry
virgin olive oil
title Predicting extra virgin olive oil freshness during storage by fluorescence spectroscopy
title_full Predicting extra virgin olive oil freshness during storage by fluorescence spectroscopy
title_fullStr Predicting extra virgin olive oil freshness during storage by fluorescence spectroscopy
title_full_unstemmed Predicting extra virgin olive oil freshness during storage by fluorescence spectroscopy
title_short Predicting extra virgin olive oil freshness during storage by fluorescence spectroscopy
title_sort predicting extra virgin olive oil freshness during storage by fluorescence spectroscopy
topic freshness
pigments
pyropheophytin
spectrofluorimetry
virgin olive oil
url http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1686
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AT iromero predictingextravirginoliveoilfreshnessduringstoragebyfluorescencespectroscopy
AT raparicio predictingextravirginoliveoilfreshnessduringstoragebyfluorescencespectroscopy
AT dlgarciagonzalez predictingextravirginoliveoilfreshnessduringstoragebyfluorescencespectroscopy
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