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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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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. |
format | Online Article Text |
id | pubmed-4610445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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