2024-03-29T01:03:56Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/305982023-01-11T13:30:44Zcom_10324_31661com_10324_952com_10324_894com_10324_1186com_10324_931col_10324_31662col_10324_1404
00925njm 22002777a 4500
dc
Blanco Fuentes, Carlos Antonio
author
Fuente, Rocío de la
author
Caballero Caballero, Isabel
author
Rodríguez Méndez, María Luz
author
2015
There is a wide variety of Lager beer styles that differ, among others characteristics, in their alcohol content and color. Beer contains a high concentration of electrochemical active compounds, some of them related to the color of these beverages. In the present work, the applicability of a portable electronic tongue based on an array of electrochemical screen-printed electrodes was applied to the analysis of Lager beers. Multivariate analysis of the obtained signals allowed establishing mathematical models able to predict the European Brewery Convention (EBC) color index and the alcoholic strength with an accuracy of 76% and 86% respectively. Moreover, a discriminant model was established, able to classify beer by styles with 100% degree of accuracy.
Journal of Food Engineering Volume 157, July 2015, Pages 57–62
0260-8774
http://uvadoc.uva.es/handle/10324/30598
10.1016/j.jfoodeng.2015.02.018
57
62
Journal Food Engineering
157
Beer discrimination using a portable electronic tongue based on screen-printed electrodes