Potentiometric bioelectronic tongue for the analysis of urea and alkaline ions in clinical samples

Manuel Gutiérrez, Salvador Alegret, Manel del Valle

Research output: Contribution to journalArticleResearchpeer-review

110 Citations (Scopus)

Abstract

Urea biosensors based on urease covalently immobilized on to ammonium and hydrogen ion-selective electrodes were included in arrays together with ammonium, potassium, sodium, hydrogen and generic response to alkaline sensors. Response models based on artificial neural network (ANN) and partial least squares (PLS1) were built, tested and compared for the simultaneous determination of urea, ammonium, potassium and sodium. The results show that it is possible to obtain good ANN and PLS calibration models for simultaneous determination of these four species, but with better prediction capability when the ANN are used. The developed bioelectronic tongue was applied to multidetermination in urine samples. The ANN model showed again better agreement with reference methods, allowing a simple direct determination of urea in the real samples without the necessity of eliminating the alkaline interferences, or compensating endogenous ammonium. © 2006 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)2171-2178
JournalBiosensors and Bioelectronics
Volume22
Issue number9-10
DOIs
Publication statusPublished - 15 Apr 2007

Keywords

  • Artificial neural networks
  • Biosensor array
  • Electronic tongue
  • Partial least squares
  • Urea

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