Determination of Ammonium Ion Employing an Electronic Tongue Based on Potentiometric Sensors

Jordi Gallardo, Salvador Alegret, Marco Antonio De Román, Roberto Muñoz, Pablo Rogelio Hernández, Lorenzo Leija, Manuel Del Valle

Research output: Contribution to journalArticleResearchpeer-review

52 Citations (Scopus)

Abstract

A method for determining ammonium ion concentration from complex aqueous samples is presented in this work. It does not need to eliminate chemical interferences, mainly sodium and potassium, because an array of potentiometric sensors with intrinsic responses is used. The measurements taken from the array are processed with a multicomponent data treatment. This approach is already known as electronic tongue. Multivariable calibration was implemented with an artificial neural network, trained under the rules of the Bayesian regularization. The developed system has been applied to water samples from rivers and wastewaters with ammonium content in the range 1 × 10 -4 -5 × 10 -2 mol L -1 . Results are similar to those obtained with other reference methods.
Original languageEnglish
Pages (from-to)2893-2908
JournalAnalytical Letters
Volume36
Issue number14
DOIs
Publication statusPublished - 15 Dec 2003

Keywords

  • Bayesian regularization
  • Electronic tongue
  • Ion selective electrode array
  • Neural networks
  • Sensor array

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