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Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/112104
Título

Classification and characterization of different white grape juices by using a hybrid electronic tongue

AutorGutiérrez-Capitán, Manuel; Santiago Blanco, José Luis; Vila-Planas, Jordi; Llobera, Andreu; Boso Alonso, Susana; Gago Montaña, Pilar; Martínez Rodríguez, María del Carmen; Jiménez Jorquera, Cecilia
Palabras claveElectronic tongue
Data fusion
Grape juice analysis
Grape variety classification
Vitis vinifera
Fecha de publicación2013
EditorAmerican Chemical Society
CitaciónJournal of Agricultural and Food Chemistry 61 (39): 9325- 9332 (2013)
ResumenA multisensor system combined with multivariate analysis is applied for the characterization and classification of white grape juices. The proposed system, known as hybrid electronic tongue, consists of an array of electrochemical microsensors and a colorimetric optofluidic system. A total of 25 white grape juices representing the large variability of vines grown in the Northwest Iberian Peninsula were studied. The data obtained were treated with Principal Component Analysis (PCA) and Soft Independent Modeling Class Analogy (SIMCA). The first tool was used to train the system with the reference genotypes -Albariño, Muscat à Petit Grains Blanc and Palomino- and the second to study the feasibility of the hybrid electronic tongue to distinguish between different grape juice varieties. The results show that the three reference genotypes are well differentiated in the PCA model and this can be used to interpolate the rest of varieties and predict their basic characteristics. Besides, using the SIMCA, the system demonstrates high potential for classifying and discriminating grape varieties. © 2013 American Chemical Society.
URIhttp://hdl.handle.net/10261/112104
DOI10.1021/jf402960q
Identificadoresdoi: 10.1021/jf402960q
issn: 0021-8561
e-issn: 1520-5118
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