RT info:eu-repo/semantics/article
T1 Prediction of bitterness and alcoholic degree in beer using an electronic tongue
A1 Rodríguez Méndez, María Luz
A1 Arrieta, A.
A1 Saja Sáez, José Antonio de
A1 Blanco Fuentes, Carlos Antonio
A1 Nimubona, Dieudonné
AB An electronic tongue based on an array of electroactive conducting polymers was developed for the analysis of beers.The principal component analysis (PCA) of the electrochemical signals obtained by immersing the array of electrodes in 21 lager beers (dark and pale; with alcohol and alcohol free) has provided a clear discrimination between dark and pale beers and also between beers with and without alcohol. The correlations between redox processes observed in the electrodes and the iso-α-acids concentration and the alcoholic degree have been found using partial least square regression (PLS2). The Root-Mean-Square Error of Prediction (RMSEP) values for alcoholic strength and iso-α-acids prediction model were 0.603 (%vol) and 9.021 (mg L−1), respectively. Prediction of Bitterness and Alcoholic Strength in Beer Using an Electronic Tongue | Request PDF. Available from: https://www.researchgate.net/publication/222337311_Prediction_of_Bitterness_and_Alcoholic_Strength_in_Beer_Using_an_Electronic_Tongue [accessed Jul 16 2018].
SN 0743-7463
YR 2010
FD 2010
LK http://uvadoc.uva.es/handle/10324/30781
UL http://uvadoc.uva.es/handle/10324/30781
LA eng
NO Food Chemistry  vol. 123 p. 642-646
NO Producción Científica
DS UVaDOC
RD 22-dic-2024