This work reports the application of a BioElectronic Tongue (BioET) in the analysis of polyphenols. For this, a voltammetric BioET formed by an array of epoxy-graphite biosensors, bulk-modified with different redox enzymes, aimed to the simultaneous determination of different polyphenols was used. Departure information was the set of voltammograms generated with the biosensor array and Artificial Neural Networks (ANNs) were used for extraction and quantification of each compound. Cathecol, caffeic acid and catechine formed the three-analyte study case resolved in this work, with good prediction ability attained, therefore permitting the separate quantification of the three phenols.