2016
DOI: 10.3390/bios6040060
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A Novel MOS Nanowire Gas Sensor Device (S3) and GC-MS-Based Approach for the Characterization of Grated Parmigiano Reggiano Cheese

Abstract: To determine the originality of a typical Italian Parmigiano Reggiano cheese, it is crucial to define and characterize its quality, ripening period, and geographical origin. Different analytical techniques have been applied aimed at studying the organoleptic and characteristic volatile organic compounds (VOCs) profile of this cheese. However, most of the classical methods are time consuming and costly. The aim of this work was to illustrate a new simple, portable, fast, reliable, non-destructive, and economic … Show more

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Cited by 24 publications
(17 citation statements)
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“…This leads to a final product that has various nutritional properties: its dry weight is mostly composed of proteins and lipids, it is lactose- and galactose-free and it is rich in organic acids, such as lactic acid, acetic acid, propionic and butyric acids [ 4 ]. The semi-fat composition, due to natural creaming of skimmed unpasteurized milk [ 5 ], is produced by cattle that consume only locally grown forage because supply of silage and fermented feeds is not permitted [ 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…This leads to a final product that has various nutritional properties: its dry weight is mostly composed of proteins and lipids, it is lactose- and galactose-free and it is rich in organic acids, such as lactic acid, acetic acid, propionic and butyric acids [ 4 ]. The semi-fat composition, due to natural creaming of skimmed unpasteurized milk [ 5 ], is produced by cattle that consume only locally grown forage because supply of silage and fermented feeds is not permitted [ 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…This aim can be reached using chemical gas sensors since they can give information about the status of what they are analyzing in a short time. Their fields of application range from food quality control [2][3][4][5] to environmental monitoring [6] to human disease detection [7]. Their versatility is also due to the various materials that can be employed.…”
Section: Introductionmentioning
confidence: 99%
“…S3 device used in the present work has been completely designed and constructed at SENSOR Laboratory (University of Brescia, Italy) in collaboration with NASYS S.r.l., a spin-off of the University of Brescia. It has been described in other works [20][21][22][23]. Briefly, the tool comprises three parts: pneumatic components, that transfer VOCs from the headspace of samples to the sensing chamber; electronic boards, that manage the acquisition and transmission of the data from the device to the dedicated Web-App and allow the synchronization between S3 and the auto-sampler; sensing chamber, that can host from five to ten different MOX gas sensors and is thermostated and isolated in order to avoid any influence of the surrounding environment.…”
Section: S3 Analysismentioning
confidence: 88%