New Insights into the Comprehensive System of Thermodynamic Sensors and Electronic Nose and Its Practical Applications in Dough Fermentation Monitoring

Author:

Sevcikova Veronika1ORCID,Adamek Martin2,Sebestikova Romana3ORCID,Buresova Iva3ORCID,Buran Martin4ORCID,Adamkova Anna1ORCID,Zvonkova Magdalena1ORCID,Skowronkova Nela1,Matyas Jiri5ORCID,Mlcek Jiri1

Affiliation:

1. Department of Food Analysis and Chemistry, Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic

2. Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 760 05 Zlin, Czech Republic

3. Department of Food Technology, Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic

4. Department of Microelectronics, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 3058/10, 616 00 Brno, Czech Republic

5. Centre of Polymer Systems, University Institute, Tomas Bata University in Zlin, Trida Tomase Bati 5678, 760 01 Zlin, Czech Republic

Abstract

This study focuses on an applicability of the device designed for monitoring dough fermentation. The device combines a complex system of thermodynamic sensors (TDSs) with an electronic nose (E-nose). The device’s behavior was tested in experiments with dough samples. The configuration of the sensors in the thermodynamic system was explored and their response to various positions of the heat source was investigated. When the distance of the heat source and its intensity from two thermodynamic sensors changes, the output signal of the thermodynamic system changes as well. Thus, as the distance of the heat source decreases or the intensity increases, there is a higher change in the output signal of the system. The linear trend of this change reaches an R2 value of 0.936. Characteristics of the doughs prepared from traditional and non-traditional flours were successfully detected using the electronic nose. To validate findings, the results of the measurements were compared with signals from the rheofermentometer Rheo F4, and the correlation between the output signals was closely monitored. The data after statistical evaluation show that the measurements using thermodynamic sensors and electronic nose directly correlate the most with the measured values of the fermenting dough volume. Pearson’s correlation coefficient for TDSs and rheofermentometer reaches up to 0.932. The E-nose signals also correlate well with dough volume development, up to 0.973. The data and their analysis provided by this study declare that the used system configuration and methods are fully usable for this type of food analysis and also could be usable in other types of food based on the controlled fermentation. The system configuration, based on the result, will be also used in future studies.

Funder

Internal Grant Agency of Tomas Bata University

Brno University of Technology

Ministry of Education, Youth and Sports of the Czech Republic—DKRVO

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference28 articles.

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4. Adamek, M., Adamkova, A., Mlcek, J., Vojackova, K., Famera, O., Buran, M., Hlobilova, V., Buckova, M., Baron, M., and Sochor, J. (2020). Sensor systems for detecting dough properties fortified with grape pomace and mealworm powders. Sensors, 20.

5. Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review;Tan;Artif. Intell. Agric.,2020

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