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Portable Electronic Tongue Based on Microsensors for the Analysis of Cava Wines.
Giménez-Gómez, Pablo; Escudé-Pujol, Roger; Capdevila, Fina; Puig-Pujol, Anna; Jiménez-Jorquera, Cecilia; Gutiérrez-Capitán, Manuel.
Afiliação
  • Giménez-Gómez P; Instituto de Microelectrónica de Barcelona (IMB-CNM), CSIC Campus UAB, 08193 Cerdanyola del Vallès, Spain. pablo.gimenez@csic.es.
  • Escudé-Pujol R; Instituto de Microelectrónica de Barcelona (IMB-CNM), CSIC Campus UAB, 08193 Cerdanyola del Vallès, Spain. roger.escude@csic.es.
  • Capdevila F; Institut Català de la Vinya i el Vi (IRTA-INCAVI), Plaça Àgora 2, 08720 Vilafranca del Penedès, Spain. finacapdevila@gmail.com.
  • Puig-Pujol A; Institut Català de la Vinya i el Vi (IRTA-INCAVI), Plaça Àgora 2, 08720 Vilafranca del Penedès, Spain. apuigpujol@gencat.cat.
  • Jiménez-Jorquera C; Instituto de Microelectrónica de Barcelona (IMB-CNM), CSIC Campus UAB, 08193 Cerdanyola del Vallès, Spain. cecilia.jimenez@csic.es.
  • Gutiérrez-Capitán M; Instituto de Microelectrónica de Barcelona (IMB-CNM), CSIC Campus UAB, 08193 Cerdanyola del Vallès, Spain. Manuel.Gutierrez@csic.es.
Sensors (Basel) ; 16(11)2016 Oct 27.
Article em En | MEDLINE | ID: mdl-27801796
ABSTRACT
Cava is a quality sparkling wine produced in Spain. As a product with a designation of origin, Cava wine has to meet certain quality requirements throughout its production process; therefore, the analysis of several parameters is of great interest. In this work, a portable electronic tongue for the analysis of Cava wine is described. The system is comprised of compact and low-power-consumption electronic equipment and an array of microsensors formed by six ion-selective field effect transistors sensitive to pH, Na⁺, K⁺, Ca2+, Cl-, and CO32-, one conductivity sensor, one redox potential sensor, and two amperometric gold microelectrodes. This system, combined with chemometric tools, has been applied to the analysis of 78 Cava wine samples. Results demonstrate that the electronic tongue is able to classify the samples according to the aging time, with a percentage of correct prediction between 80% and 96%, by using linear discriminant analysis, as well as to quantify the total acidity, pH, volumetric alcoholic degree, potassium, conductivity, glycerol, and methanol parameters, with mean relative errors between 2.3% and 6.0%, by using partial least squares regressions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article