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Open AccessArticle

Nanomaterial Gas Sensors for Online Monitoring System of Fruit Jams

1
CNR-IBBR, Institute of Bioscience and Bioresources, via Madonna del Piano, 10, 50019 Sesto Fiorentino, FI, Italy
2
Department of Information Engineering, University of Brescia, Brescia, via Branze, 38, 25123 Brescia, BS, Italy
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Menz&Gasser S.p.A., Sede Legale Zona Industriale, 38050 Novaledo (TN), Italy
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Nano Sensor Systems, NASYS Spin-Off University of Brescia, Brescia, via Camillo Brozzoni, 9, 25125 Brescia, BS, Italy
*
Author to whom correspondence should be addressed.
Foods 2019, 8(12), 632; https://doi.org/10.3390/foods8120632
Received: 4 November 2019 / Revised: 21 November 2019 / Accepted: 22 November 2019 / Published: 2 December 2019
(This article belongs to the Special Issue The Development of Novel Application of Electronic Nose in Food Field)
Jams are appreciated worldwide and have become a growing market, due to the greater attention paid by consumers for healthy food. The selected products for this study represent a segment of the European market that addresses natural products without added sucrose or with a low content of natural sugars. This study aims to identify volatile organic compounds (VOCs) that characterize three flavors of fruit and five recipes using gas chromatography–mass spectrometry (GC–MS) and solid-phase micro-extraction (SPME) analysis. Furthermore, an innovative device, a small sensor system (S3), based on gas sensors with nanomaterials has been used; it may be particularly advantageous in the production line. Results obtained with linear discriminant analysis (LDA) show that S3 can distinguish among the different recipes thanks to the differences in the VOCs that are present in the specimens, as evidenced by the GC–MS analysis. Finally, this study highlights how the thermal processes for obtaining the jam do not alter the natural properties of the fruit.
Keywords: volatile organic compounds (VOCs); gas chromatography–mass spectrometry (GC–MS); jams; chemical sensors; nanowire gas sensors; linear discriminant analysis (LDA) volatile organic compounds (VOCs); gas chromatography–mass spectrometry (GC–MS); jams; chemical sensors; nanowire gas sensors; linear discriminant analysis (LDA)
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MDPI and ACS Style

Núñez-Carmona, E.; Abbatangelo, M.; Zottele, I.; Piccoli, P.; Tamanini, A.; Comini, E.; Sberveglieri, G.; Sberveglieri, V. Nanomaterial Gas Sensors for Online Monitoring System of Fruit Jams. Foods 2019, 8, 632.

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