Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas Sensors

Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas Sensors

In the present work, a gas sensor device S3 based on an array of eight metal oxides semiconductor gas sensors has been demonstrated and applied to the discrimination of quality and geographical origins of the Italian extra virgin olive oils. Furthermore, the principal component analysis (PCA) and ar...

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Main Authors: Manohar P. Bhandari, Estefanía Núñez Carmona, Marco Abbatangelo, Veronica Sberveglieri, Giorgio Duina, Rajani Malla, Elisabetta Comini, Giorgio Sberveglieri
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Proceedings
Subjects:
metal oxides
nanowire gas sensors
gas sensor device
electronic nose
extra virgin olive oil
olive oil quality
geographical origin
Online Access:https://www.mdpi.com/2504-3900/2/13/1061
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spelling doaj-909983ef262445cf81376005ec701ec32020-11-25T00:17:37ZengMDPI AGProceedings2504-39002018-11-01213106110.3390/proceedings2131061proceedings2131061Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas SensorsManohar P. Bhandari0Estefanía Núñez Carmona1Marco Abbatangelo2Veronica Sberveglieri3Giorgio Duina4Rajani Malla5Elisabetta Comini6Giorgio Sberveglieri7Sensor Lab, Department of Information Engineering, University of Brescia, Via Branze 38, 25133 Brescia, ItalySensor Lab, Department of Information Engineering, University of Brescia, Via Branze 38, 25133 Brescia, ItalySensor Lab, Department of Information Engineering, University of Brescia, Via Branze 38, 25133 Brescia, ItalyCNR-IBBR, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Florence, ItalySensor Lab, Department of Information Engineering, University of Brescia, Via Branze 38, 25133 Brescia, ItalyCentral Department of Biotechnology, Tribhuvan University, 44613 Kirtipur, NepalSensor Lab, Department of Information Engineering, University of Brescia, Via Branze 38, 25133 Brescia, ItalySensor Lab, Department of Information Engineering, University of Brescia, Via Branze 38, 25133 Brescia, ItalyIn the present work, a gas sensor device S3 based on an array of eight metal oxides semiconductor gas sensors has been demonstrated and applied to the discrimination of quality and geographical origins of the Italian extra virgin olive oils. Furthermore, the principal component analysis (PCA) and artificial neural networks (ANN) were carried out on the set of data acquired from the sensor array response to the extra virgin olive oil headspace. The preliminary results have shown a good capability of the instrument to distinguish different kind of extra virgin olive oil samples and thus evaluate their quality and origin.https://www.mdpi.com/2504-3900/2/13/1061metal oxidesnanowire gas sensorsgas sensor deviceelectronic noseextra virgin olive oilolive oil qualitygeographical origin
collection DOAJ
language English
format Article
sources DOAJ
author Manohar P. Bhandari
Estefanía Núñez Carmona
Marco Abbatangelo
Veronica Sberveglieri
Giorgio Duina
Rajani Malla
Elisabetta Comini
Giorgio Sberveglieri
spellingShingle Manohar P. Bhandari
Estefanía Núñez Carmona
Marco Abbatangelo
Veronica Sberveglieri
Giorgio Duina
Rajani Malla
Elisabetta Comini
Giorgio Sberveglieri
Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas Sensors
Proceedings
metal oxides
nanowire gas sensors
gas sensor device
electronic nose
extra virgin olive oil
olive oil quality
geographical origin
author_facet Manohar P. Bhandari
Estefanía Núñez Carmona
Marco Abbatangelo
Veronica Sberveglieri
Giorgio Duina
Rajani Malla
Elisabetta Comini
Giorgio Sberveglieri
author_sort Manohar P. Bhandari
title Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas Sensors
title_short Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas Sensors
title_full Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas Sensors
title_fullStr Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas Sensors
title_full_unstemmed Discrimination of Quality and Geographical Origin of Extra Virgin Olive Oil by S3 Device with Metal Oxides Gas Sensors
title_sort discrimination of quality and geographical origin of extra virgin olive oil by s3 device with metal oxides gas sensors
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2018-11-01
description In the present work, a gas sensor device S3 based on an array of eight metal oxides semiconductor gas sensors has been demonstrated and applied to the discrimination of quality and geographical origins of the Italian extra virgin olive oils. Furthermore, the principal component analysis (PCA) and artificial neural networks (ANN) were carried out on the set of data acquired from the sensor array response to the extra virgin olive oil headspace. The preliminary results have shown a good capability of the instrument to distinguish different kind of extra virgin olive oil samples and thus evaluate their quality and origin.
topic metal oxides
nanowire gas sensors
gas sensor device
electronic nose
extra virgin olive oil
olive oil quality
geographical origin
url https://www.mdpi.com/2504-3900/2/13/1061
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