Voltammetric electronic tongue for vinegar fingerprinting

Xavier Cetó; Sandra Pérez

doi:10.1016/j.talanta.2020.121253

Voltammetric electronic tongue for vinegar fingerprinting

Talanta. 2020 Nov 1:219:121253. doi: 10.1016/j.talanta.2020.121253. Epub 2020 Jun 14.

Authors

Xavier Cetó¹, Sandra Pérez²

Affiliations

¹ Department of Chemical Engineering and Analytical Chemistry, Faculty of Chemistry, Universitat de Barcelona, 08028, Barcelona, Spain; Department of Chemistry, Faculty of Sciences, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain. Electronic address: xavier.ceto@uab.cat.
² Department of Chemistry, Faculty of Sciences, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain.

PMID: 32887144
DOI: 10.1016/j.talanta.2020.121253

Abstract

The application of a voltammetric electronic tongue (ET) towards the classification and authentication of vinegar is reported. Vinegar samples of different varieties were analysed with a three-sensor array, without performing any sample pre-treatment, but only an electrochemical cleaning stage between sample measurements to avoid fouling onto the electrode surfaces. Next, the use of discrete cosine transform (DCT) for the compression and reduction of signal complexity in voltammetric measurements was explored, and the number of coefficients was optimized through its inverse transform. Finally, the obtained coefficients were analysed by principal component analysis (PCA) to attempt the discrimination of the different vinegars and by linear discriminant analysis (LDA) to build a model that allows its categorization. Satisfactory results were obtained overall, with a classification rate of 100% for the external test subset (n = 15).

Keywords: Authentication; Classification; Discrete cosine transform; Electronic tongue; Linear discriminant analysis; Vinegar.