Tailored Gas Sensors as Rapid Technology to Support the Jams Production
Nowadays, innovation in food technologies is fundamental and consumers are increasingly aware and demanding. To create a final product that is more and more appealing, health and safety guidelines are pushing towards new challenges. It is precisely due to the high quality required by the producers t...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Chemosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9040/11/7/403 |
| _version_ | 1827733460939177984 |
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| author | Giuseppe Greco Estefanía Núñez-Carmona Dario Genzardi Linda Bianchini Pierpaolo Piccoli Ivano Zottele Armando Tamanini Carola Motolose Antonello Scalmato Giorgio Sberveglieri Veronica Sberveglieri |
| author_facet | Giuseppe Greco Estefanía Núñez-Carmona Dario Genzardi Linda Bianchini Pierpaolo Piccoli Ivano Zottele Armando Tamanini Carola Motolose Antonello Scalmato Giorgio Sberveglieri Veronica Sberveglieri |
| author_sort | Giuseppe Greco |
| collection | DOAJ |
| description | Nowadays, innovation in food technologies is fundamental and consumers are increasingly aware and demanding. To create a final product that is more and more appealing, health and safety guidelines are pushing towards new challenges. It is precisely due to the high quality required by the producers that the aim discussed in this project has been conceived. Until today, the controls on the entire production line have been slowed down by the limitations of the technologies involved, including the high cost of instrumentation for microbiological analysis, the need for qualified personnel to carry them out, the long execution times and the invasiveness of the techniques themselves. This project has, therefore, proposed a user-friendly solution that is minimally invasive, fast and at a lower cost. This system makes use of classical microbiological analysis and, in parallel, use of an innovative electronic-nose small sensor system (S3+), which can be trained to recognize the volatile fingerprint of a specific product and customized for a specific use. The aim of this project was to develop a system that is able to detect the mold contamination on fruit and vegetable jams and marmalades, using a new kind of innovative metal semiconductor gas sensor (MOS) device. The application of this technology has, therefore, made it possible to classify various samples of uncontaminated and contaminated fruit and vegetable preparations. Thanks to the classification implemented by a data-driven algorithm, it has been possible to build an anomaly detector that is able to recognize the occurrence of possible contamination, thus acting as an early alert system in the food chain. All this will occur in less than 1 min once the system is trained, in contrast with classical microbiological or chemical techniques that normally require longer timeframes to obtain a result and involve the use of reagents, increasing the costs. |
| first_indexed | 2024-03-11T01:11:39Z |
| format | Article |
| id | doaj.art-674afdd0b0dc4cf6a933151aa48ac937 |
| institution | Directory Open Access Journal |
| issn | 2227-9040 |
| language | English |
| last_indexed | 2024-03-11T01:11:39Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Chemosensors |
| spelling | doaj.art-674afdd0b0dc4cf6a933151aa48ac9372023-11-18T18:47:49ZengMDPI AGChemosensors2227-90402023-07-0111740310.3390/chemosensors11070403Tailored Gas Sensors as Rapid Technology to Support the Jams ProductionGiuseppe Greco0Estefanía Núñez-Carmona1Dario Genzardi2Linda Bianchini3Pierpaolo Piccoli4Ivano Zottele5Armando Tamanini6Carola Motolose7Antonello Scalmato8Giorgio Sberveglieri9Veronica Sberveglieri10Nano Sensor Systems, NASYS Spin-Off University of Brescia, 25125 Brescia, ItalyCNR-IBBR, Institute of Bioscience and Bioresources, 50019 Firenze, ItalyCNR-IBBR, Institute of Bioscience and Bioresources, 50019 Firenze, ItalyNano Sensor Systems, NASYS Spin-Off University of Brescia, 25125 Brescia, ItalyMenz & Gasser S.p.A., Sede Legale Zona Industriale, 38050 Novaledo, ItalyMenz & Gasser S.p.A., Sede Legale Zona Industriale, 38050 Novaledo, ItalyMenz & Gasser S.p.A., Sede Legale Zona Industriale, 38050 Novaledo, ItalyErmit s.r.l, Via Francesco Rolla 13/4, 16152 Genova, ItalyErmit s.r.l, Via Francesco Rolla 13/4, 16152 Genova, ItalyNano Sensor Systems, NASYS Spin-Off University of Brescia, 25125 Brescia, ItalyNano Sensor Systems, NASYS Spin-Off University of Brescia, 25125 Brescia, ItalyNowadays, innovation in food technologies is fundamental and consumers are increasingly aware and demanding. To create a final product that is more and more appealing, health and safety guidelines are pushing towards new challenges. It is precisely due to the high quality required by the producers that the aim discussed in this project has been conceived. Until today, the controls on the entire production line have been slowed down by the limitations of the technologies involved, including the high cost of instrumentation for microbiological analysis, the need for qualified personnel to carry them out, the long execution times and the invasiveness of the techniques themselves. This project has, therefore, proposed a user-friendly solution that is minimally invasive, fast and at a lower cost. This system makes use of classical microbiological analysis and, in parallel, use of an innovative electronic-nose small sensor system (S3+), which can be trained to recognize the volatile fingerprint of a specific product and customized for a specific use. The aim of this project was to develop a system that is able to detect the mold contamination on fruit and vegetable jams and marmalades, using a new kind of innovative metal semiconductor gas sensor (MOS) device. The application of this technology has, therefore, made it possible to classify various samples of uncontaminated and contaminated fruit and vegetable preparations. Thanks to the classification implemented by a data-driven algorithm, it has been possible to build an anomaly detector that is able to recognize the occurrence of possible contamination, thus acting as an early alert system in the food chain. All this will occur in less than 1 min once the system is trained, in contrast with classical microbiological or chemical techniques that normally require longer timeframes to obtain a result and involve the use of reagents, increasing the costs.https://www.mdpi.com/2227-9040/11/7/403MOS sensormoldsjamsartificial intelligenceanomaly detection |
| spellingShingle | Giuseppe Greco Estefanía Núñez-Carmona Dario Genzardi Linda Bianchini Pierpaolo Piccoli Ivano Zottele Armando Tamanini Carola Motolose Antonello Scalmato Giorgio Sberveglieri Veronica Sberveglieri Tailored Gas Sensors as Rapid Technology to Support the Jams Production Chemosensors MOS sensor molds jams artificial intelligence anomaly detection |
| title | Tailored Gas Sensors as Rapid Technology to Support the Jams Production |
| title_full | Tailored Gas Sensors as Rapid Technology to Support the Jams Production |
| title_fullStr | Tailored Gas Sensors as Rapid Technology to Support the Jams Production |
| title_full_unstemmed | Tailored Gas Sensors as Rapid Technology to Support the Jams Production |
| title_short | Tailored Gas Sensors as Rapid Technology to Support the Jams Production |
| title_sort | tailored gas sensors as rapid technology to support the jams production |
| topic | MOS sensor molds jams artificial intelligence anomaly detection |
| url | https://www.mdpi.com/2227-9040/11/7/403 |
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