Application of electronic tongue to discriminate white wines originated from different regions of Hungary

Abstract

In this work, the application of an electronic tongue (ET) based on a specifi c ion-selective sensor array for discrimination of different white wine types is presented. The electronic tongue equipped with specifi c sensor array containing seven IFSET sensors was used to analyze wine samples. The obtained ET responses were evaluated using different pattern recognition methods. Principal component analysis (PCA) provides the possibility to identify some initial patterns. Linear discriminant analysis (LDA) was used to build models to separate white wine samples based on wine regions and grape cultivars. The results showed that every group was distinguished from each other with no misclassifi cation error. Furthermore, the sequence of the wine sample groups was similar to the increasing total acidity content. Partial least square (PLS) regression was used to build models for the prediction of the main chemical compositions of the wine samples based on the electronic tongue results. The closest correlation (R 2 =0.93) was found in case of 'total acidity', and the prediction error (RMSEP) was 6.9%. The pH of the wine samples was predicted with good correlation (R 2 =0.89) but higher prediction error (RMSEP=10.71%) from the electronic tongue results. The ET combining these statistical methods can be applied to determine the origin and variety of the wine samples in easy and quick way.

Comparison of sensory evaluation techniques for Hungarian wines

“…Although these devices give precise and repeatable results, their use is usually restricted to quality control, classification, and authentication issues. 13 Within human sensory evaluation, we usually define three groups of sensory assessors: (a) consumers, (b) trained individuals, and (c) experts. 14 It is important to note that these groups of assessors should be handled on a horizontal plane instead of a vertical one meaning that none of the groups is better or worse simply because they have different tasks to complete.…”

“…While electronic tongues require a liquid matrix, electronic noses are used in the headspace analysis of the samples. Although these devices give precise and repeatable results, their use is usually restricted to quality control, classification, and authentication issues …”

Electrochemical Sensors Coupled with Multivariate Statistical Analysis as Screening Tools for Wine Authentication Issues: A Review

“…A commercial device named Alpha ASTREE II (Toulouse, France) based on an IFSET ion-selective sensor array was reported for the discrimination of geographical and varietal origins of Hungarian wines [76]. Based on PLS regression models, some wine chemical parameters were predicted, including total acidity, alcohol content, volatile acidity, and pH.…”