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dc.contributor.authorBlanco Fuentes, Carlos Antonio 
dc.contributor.authorFuente, Rocio de la
dc.contributor.authorCaballero Caballero, Isabel 
dc.contributor.authorRodríguez Méndez, María Luz 
dc.date.accessioned2018-07-11T09:46:39Z
dc.date.issued2015
dc.identifier.citationJournal of Food Engineering Volume 157, July 2015, Pages 57–62es
dc.identifier.issn0260-8774es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/30598
dc.descriptionProducción Científicaes
dc.description.abstractThere 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.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherJournal Food Engineeringes
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAes
dc.titleBeer discrimination using a portable electronic tongue based on screen-printed electrodeses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.jfoodeng.2015.02.018es
dc.identifier.publicationfirstpage57es
dc.identifier.publicationlastpage62es
dc.identifier.publicationtitleJournal Food Engineeringes
dc.identifier.publicationvolume157es
dc.peerreviewedSIes
dc.description.embargo2022-07-6es
dc.description.lift2022-07-06
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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