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Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform

Methods for the chemical and sensorial evaluation of olive oil are frequently changed and tuned to oppose the increasingly sophisticated frauds. Although a plethora of promising alternatives has been developed, chromatographic techniques remain the more reliable yet, even at the expense of their rel...

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Autores principales: Santonico, Marco, Grasso, Simone, Genova, Francesco, Zompanti, Alessandro, Parente, Francesca Romana, Pennazza, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610445/
https://www.ncbi.nlm.nih.gov/pubmed/26404285
http://dx.doi.org/10.3390/s150921660
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author Santonico, Marco
Grasso, Simone
Genova, Francesco
Zompanti, Alessandro
Parente, Francesca Romana
Pennazza, Giorgio
author_facet Santonico, Marco
Grasso, Simone
Genova, Francesco
Zompanti, Alessandro
Parente, Francesca Romana
Pennazza, Giorgio
author_sort Santonico, Marco
collection PubMed
description Methods for the chemical and sensorial evaluation of olive oil are frequently changed and tuned to oppose the increasingly sophisticated frauds. Although a plethora of promising alternatives has been developed, chromatographic techniques remain the more reliable yet, even at the expense of their related execution time and costs. In perspective of a continuous increment in the number of the analyses as a result of the global market, more rapid and effective methods to guarantee the safety of the olive oil trade are required. In this study, a novel artificial sensorial system, based on gas and liquid analysis, has been employed to deal with olive oil genuineness and authenticity issues. Despite these sensors having been widely used in the field of food science, the innovative electronic interface of the device is able to provide a higher reproducibility and sensitivity of the analysis. The multi-parametric platform demonstrated the capability to evaluate the organoleptic properties of extra-virgin olive oils as well as to highlight the presence of adulterants at blending concentrations usually not detectable through other methods.
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spelling pubmed-46104452015-10-26 Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform Santonico, Marco Grasso, Simone Genova, Francesco Zompanti, Alessandro Parente, Francesca Romana Pennazza, Giorgio Sensors (Basel) Article Methods for the chemical and sensorial evaluation of olive oil are frequently changed and tuned to oppose the increasingly sophisticated frauds. Although a plethora of promising alternatives has been developed, chromatographic techniques remain the more reliable yet, even at the expense of their related execution time and costs. In perspective of a continuous increment in the number of the analyses as a result of the global market, more rapid and effective methods to guarantee the safety of the olive oil trade are required. In this study, a novel artificial sensorial system, based on gas and liquid analysis, has been employed to deal with olive oil genuineness and authenticity issues. Despite these sensors having been widely used in the field of food science, the innovative electronic interface of the device is able to provide a higher reproducibility and sensitivity of the analysis. The multi-parametric platform demonstrated the capability to evaluate the organoleptic properties of extra-virgin olive oils as well as to highlight the presence of adulterants at blending concentrations usually not detectable through other methods. MDPI 2015-08-31 /pmc/articles/PMC4610445/ /pubmed/26404285 http://dx.doi.org/10.3390/s150921660 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Santonico, Marco
Grasso, Simone
Genova, Francesco
Zompanti, Alessandro
Parente, Francesca Romana
Pennazza, Giorgio
Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform
title Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform
title_full Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform
title_fullStr Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform
title_full_unstemmed Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform
title_short Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform
title_sort unmasking of olive oil adulteration via a multi-sensor platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610445/
https://www.ncbi.nlm.nih.gov/pubmed/26404285
http://dx.doi.org/10.3390/s150921660
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