Cited by 20Advanced Chemical Sensor TechnologiesSpectroscopy and Chemometric AnalysesFermentation and Sensory Analysis

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Real Time Monitoring of Wine Vinegar Supply Chain through MOX Sensors

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Abstract

Vinegar is a fermented product that is appreciated world-wide. It can be obtained from different kinds of matrices. Specifically, it is a solution of acetic acid produced by a two stage fermentation process. The first is an alcoholic fermentation, where the sugars are converted in ethanol and lower metabolites by the yeast action, generally Saccharomyces cerevisiae. This was performed through a technique that is expanding more and more, the so-called “pied de cuve”. The second step is an acetic fermentation where acetic acid bacteria (AAB) action causes the conversion of ethanol into acetic acid. Overall, the aim of this research is to follow wine vinegar production step by step through the volatiloma analysis by metal oxide semiconductor MOX sensors developed by Nano Sensor Systems S.r.l. This work is based on wine vinegar monitored from the grape must to the formed vinegar. The monitoring lasted 4 months and the analyses were carried out with a new generation of Electronic Nose (EN) engineered by Nano Sensor Systems S.r.l., called Small Sensor Systems Plus (S3+), equipped with an array of six gas MOX sensors with different sensing layers each. In particular, real-time monitoring made it possible to follow and to differentiate each step of the vinegar production. The principal component analysis (PCA) method was the statistical multivariate analysis utilized to process the dataset obtained from the sensors. A closer look to PCA graphs affirms how the sensors were able to cluster the production steps in a chronologically correct manner.

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Crossref · 10.3390/s22166247

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Figures

Figure 1 Flow sheet wine vinegar production.
Figure 1 Flow sheet wine vinegar production.CC BY · PubMed Central
Figure 2 Small Sensory systems—S3+.
Figure 2 Small Sensory systems—S3+.CC BY · PubMed Central
Figure 3 Flow Sheet Sensor Analysis.
Figure 3 Flow Sheet Sensor Analysis.CC BY · PubMed Central
Figure 4 Typical sensor response (y-axis presents electrical resistance (Ohm), x-axis time shows in minutes.
Figure 4 Typical sensor response (y-axis presents electrical resistance (Ohm), x-axis time shows in minutes.CC BY · PubMed Central
Figure 5 Graph model of sensor response to sample vinegar. x-axis presents the time of the analysis, y-axis presents the electrical resistance (Ohm). The baseline is the steady line circled in yellow. The sampling is the huge fall circled in red.
Figure 5 Graph model of sensor response to sample vinegar. x-axis presents the time of the analysis, y-axis presents the electrical resistance (Ohm). The baseline is the steady line circled in yellow. The sampling is the huge fall circled in red.CC BY · PubMed Central
Figure 6 PCA alcoholic fermentation.
Figure 6 PCA alcoholic fermentation.CC BY · PubMed Central
Figure 7 PCA acetic fermentation.
Figure 7 PCA acetic fermentation.CC BY · PubMed Central

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Citations

Cites

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Research works printed but not linked: 2

  1. Hailu, 2012, Vinegar production technology—An overview, Beverage Food World, 2, 29
  2. Sun, 2010, Changes of characteristic aroma component in Zhenjiang fragrance vinegar during processing and analysis of their formation mechanism, J. Chin. Inst. Food Sci. Technol., 10, 120

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Metadata

Authors
Genzardi, D., Greco, G., Núñez-Carmona, E., & Sberveglieri, V.
Affiliations
  • Institute of Biosciences and Bioresources (IT)
  • University of Brescia (IT)
Corresponding author
Greco, Giuseppe
Venue
Sensors
Publisher
MDPI AG
Published
2022-08-19
Volume
22
Issue
16
Pages
6247
ISSN
1424-8220 (ISSN-L)
OpenAlex
W4293256761
Cited by
19
References
35
Citations by year
2026: 5 · 2025: 4 · 2024: 5 · 2023: 4 · 2022: 1
FWCI
1.02
Type
journal article
Language
en
Open access
Locations
  • Sensors (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Chemical Sensor Technologies
  • Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Fermentation and Sensory Analysis
Keywords
wine vinegar, vinegar production, supply chain monitoring, metal oxide gas sensors, electronic nose, volatilome, alcoholic fermentation, acetic acid fermentation, acetic acid bacteria, grape must, real-time monitoring, principal component analysis, sensor arrays
MeSH terms
Ethanol, Fermentation, Saccharomyces cerevisiae, Wine, Acetic Acid

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CoChat. (2026). Citation check: Real Time Monitoring of Wine Vinegar Supply Chain through MOX Sensors. https://app.cochat.ai/papers/10.3390/s22166247
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Genzardi, D., Greco, G., Núñez-Carmona, E., & Sberveglieri, V. (2022). Real Time Monitoring of Wine Vinegar Supply Chain through MOX Sensors. Sensors. https://doi.org/10.3390/s22166247