Application of a potentiometric electronic tongue as a classification tool in food analysis

Jordi Gallardo, Salvador Alegret, Manuel Del Valle

Research output: Contribution to journalArticleResearchpeer-review

101 Citations (Scopus)


This paper reports on the application of a potentiometric sensor array to the food analysis field, in order to distinguish simple tastes and to classify food samples. This array is formed by a set of non-specific all-solid-state potentiometric sensors and has been used in combination with principal component analysis (PCA) for the classification of food samples in batch and in flow injection mode. First attempt was to classify synthetic samples prepared with controlled variability. Once this ability is proven, satisfactory classification results are presented for commercial waters, orange-based drinks and tea samples. An interesting correlation is achieved between the natural juice content and its first calculated component, which allows for a very simple tool for screening purposes. © 2005 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)1303-1309
Issue number5
Publication statusPublished - 15 Jun 2005


  • Electronic tongue
  • Food analysis
  • Mineral water
  • Orange juice
  • Potentiometric sensor array
  • Tea


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