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首页> 外文期刊>Journal of Agricultural and Food Chemistry >Classification and Characterization of Different White Grape Juices by Using a Hybrid Electronic Tongue
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Classification and Characterization of Different White Grape Juices by Using a Hybrid Electronic Tongue

机译：混合电子舌对不同白葡萄汁的分类和表征

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摘要

A 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 -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.
机译：多传感器系统与多元分析相结合，用于白葡萄汁的表征和分类。拟议的系统称为混合电子舌，它由一组电化学微传感器和一个比色光流体系统组成。总共研究了25种代表西北伊比利亚半岛葡萄藤变异性的白葡萄汁。使用主成分分析（PCA）和软件独立建模类比（SIMCA）处理获得的数据。第一个工具被用来训练具有参考基因型的系统-Albarino，小粒白麝香和帕洛米诺-第二个工具用于研究混合电子舌头区分不同葡萄汁品种的可行性。结果表明，三种参考基因型在PCA模型中有很好的区分，可用于内插其他品种并预测其基本特征。此外，使用SIMCA，该系统显示出对葡萄品种进行分类和区分的巨大潜力。

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