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A Prototype to Detect the Alcohol Content of Beers Based on an Electronic Nose

1
Graduate Program in Applied Computing (PPGCA), State University of Ponta Grossa (UEPG), Ponta Grossa (PR) 84030-900, Brazil
2
Graduate Program in Electrical Engineering and Industrial Informatics (CPGEI), Federal University of Technology of Parana (UTFPR), Curitiba (PR) 80230-901, Brazil
3
Graduate Program in Chemical Engineering, Federal University of Technology of Parana (UTFPR), Ponta Grossa (PR) 84016-210, Brazil
4
Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology of Parana (UTFPR), Ponta Grossa (PR) 84016-210, Brazil
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(11), 2646; https://doi.org/10.3390/s19112646
Received: 18 January 2019 / Revised: 16 February 2019 / Accepted: 25 February 2019 / Published: 11 June 2019
(This article belongs to the Special Issue Electronic Noses)
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Abstract

Due to the emergence of new microbreweries in the Brazilian market, there is a need to construct equipment to quickly and accurately identify the alcohol content in beverages, together with a reduced marketing cost. Towards this purpose, the electronic noses prove to be the most suitable equipment for this situation. In this work, a prototype was developed to detect the concentration of ethanol in a high spectrum of beers presents in the market. It was used cheap and easy-to-acquire 13 gas sensors made with a metal oxide semiconductor (MOS). Samples with 15 predetermined alcohol contents were used for the training and construction of the models. For validation, seven different commercial beverages were used. The correlation (R2) of 0.888 for the MLR (RMSE = 0.45) and the error of 5.47% for the ELM (RMSE = 0.33) demonstrate that the equipment can be an effective tool for detecting the levels of alcohol contained in beverages. View Full-Text
Keywords: electronic nose (e-nose); beers; alcoholic beverages; sensors; instrumentation electronic nose (e-nose); beers; alcoholic beverages; sensors; instrumentation
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MDPI and ACS Style

Voss, H.G.J.; Mendes Júnior, J.J.A.; Farinelli, M.E.; Stevan, S.L., Jr. A Prototype to Detect the Alcohol Content of Beers Based on an Electronic Nose. Sensors 2019, 19, 2646.

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