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Beverages 2017, 3(2), 22; doi:10.3390/beverages3020022

Automated Bioanalyzer Based on Amperometric Enzymatic Biosensors for the Determination of Ethanol in Low-Alcohol Beers

1
Departamento de Química Analítica, Facultad de CC. Químicas, Universidad Complutense de Madrid, Avda. Complutense s/n, 28040 Madrid, Spain
2
InBea Biosensores S.L. Parque Científico de Madrid, C/ Santiago Grisolía 2, Tres Cantos, 28760 Madrid, Spain
3
Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049 Madrid, Spain
Present address: Analytical Chemistry—Center for Electrochemical Sciences (CES), Ruhr-Universität Bochum, Universitätsstr. 150, 44780 Bochum, Germany.
*
Author to whom correspondence should be addressed.
Academic Editor: Ombretta Marconi
Received: 6 April 2017 / Revised: 28 April 2017 / Accepted: 9 May 2017 / Published: 13 May 2017
(This article belongs to the Special Issue Beer)
View Full-Text   |   Download PDF [8408 KB, uploaded 13 May 2017]   |  

Abstract

In this work, a new automated bioanalyzer based on the use of enzymatic biosensors as amperometric detectors is reported. This automatic bioanalyzer is configurable both as continuous flow and flow injection analysis systems and enables both on-line and off-line monitoring of ethanol in low-alcohol beer to be performed. The attractive analytical and operational characteristics demonstrated by the automated bioanalyzer make it a promising, simple, rapid, and reliable tool for quality control of this beverage in the beer industry, either during the manufacturing process or in the final product. Moreover its applicability to the analysis of the ethanol content in different non-alcoholic beers working at different modes was successfully demonstrated. View Full-Text
Keywords: automated bioanalyzer; ethanol; enzymatic biosensors; amperometric detection; low-alcohol beer automated bioanalyzer; ethanol; enzymatic biosensors; amperometric detection; low-alcohol beer
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Vargas, E.; Conzuelo, F.; Ruiz, M.A.; Campuzano, S.; Ruiz-Valdepeñas Montiel, V.; González de Rivera, G.; López-Colino, F.; Reviejo, Á.J.; Pingarrón, J.M. Automated Bioanalyzer Based on Amperometric Enzymatic Biosensors for the Determination of Ethanol in Low-Alcohol Beers. Beverages 2017, 3, 22.

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