Classification and Characterization of Different White Grape Juices by Using a Hybrid Electronic Tongue


AU: 
Gutierrez-Capitan, M; Santiago, JL; Vila-Planas, J; Llobera, A; Boso, S; Gago, P; Martinez, MC; Jimenez-Jorquera, C
SO: 
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
VL: 
61
IS: 
39
BP: 
9325
EP: 
9332
PY: 
2013
SN: 
0021-8561
IF: 
2.91
Year IF: 
2012
Abstract: 

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 Albarino, Muscat a 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.

DT: 
Article en revistes indexades
Percentil: 
HIGH
Percentil Year: 
2012
Category: 
FOOD SCIENCE & TECHNOLOGY