Voltammetric BioElectronic Tongue for the analysis of phenolic compounds in rosé cava wines

Xavier Cetó, Josefina Capdevila, Santiago Mínguez, Manel del Valle

Research output: Contribution to journalArticleResearchpeer-review

32 Citations (Scopus)


A BioElectronic Tongue (BioET) based on a sensor array comprising 4 voltammetric enzyme-modified (bio)sensors plus pattern recognition and multivariate calibration data processing tools was applied towards the analysis of rosé cava wines. A total of 20 different samples from different producers were analysed using cyclic voltammetry without any sample pretreatment. Obtained responses were preprocessed employing the windowed slicing integral method in order to compress and extract significant features from the recorded data. Extracted coefficients were then evaluated by means of Principal Component Analysis to visualize some initial patterns, while quantification of different phenolic indexes was achieved by an Artificial Neural Network (ANN) model. In this manner, correlations were attempted between (bio)sensors responses and three different classical indexes related to total phenolic content (i.e. I 280 , I 320 and Folin-Ciocalteu index) plus two other indexes related to other specific phenolic features (i.e. total tannins and anthocyanins content). © 2013 Elsevier Ltd.
Original languageEnglish
Pages (from-to)455-461
JournalFood Research International
Publication statusPublished - 1 Jan 2014


  • Anthocyanins
  • Cava wine
  • Electronic Tongue
  • Phenolic compounds
  • Tannins
  • Voltammetric biosensors


Dive into the research topics of 'Voltammetric BioElectronic Tongue for the analysis of phenolic compounds in rosé cava wines'. Together they form a unique fingerprint.

Cite this