Use of sequential injection analysis to construct an electronic-tongue. Application to multidetermination employing the transient response of a potentiometric sensor array

Daniel Calvo, Alejandro Durán, Manel del Valle

Research output: Contribution to journalArticleResearchpeer-review

39 Citations (Scopus)

Abstract

An electronic tongue based on the transient response of an array of non-specific-response potentiometric sensors was developed. A sequential injection analysis (SIA) system was used in order to automate its training and operation. The use of the transient recording entails the dynamic nature of the sensor's response, which can be of high information content, of primary ions and also of interfering ions; these may better discriminated if the kinetic resolution is added. This work presents the extraction of significant information contained in the transient response of a sensor array formed by five all-solid-state potentiometric sensors. The tool employed was the Fourier transform, from which a number of coefficients were fed into an artificial neural network (ANN) model, used to perform a quantitative multidetermination. The studied case was the analysis of mixtures of calcium, sodium and potassium. Obtained performance is compared with the more traditional automated electronic tongue using final steady-state potentials. © 2006 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)97-104
JournalAnalytica Chimica Acta
Volume600
Issue number1-2 SPEC. ISS.
DOIs
Publication statusPublished - 26 Sep 2007

Keywords

  • Artificial neural network
  • Electronic tongue
  • Fourier transform
  • Potentiometric sensor array
  • Sequential injection analysis

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