Potentiometric electronic tongue to resolve mixtures of sulfide and perchlorate anions

Deivy Wilson, Mohammed N. Abbas, Abdel Latief A. Radwan, Manel del Valle

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Abstract

This work describes the use of an array of potentiometric sensors and an artificial neural network response model to determine perchlorate and sulfide ions in polluted waters, by what is known as an electronic tongue. Sensors used have been all-solid-state PVC membrane selective electrodes, where their ionophores were different metal-phtalocyanine complexes with specific and anion generic responses. The study case illustrates the potential use of electronic tongues in the quantification of mixtures when interfering effects need to be counterbalanced: relative errors in determination of individual ions can be decreased typically from 25% to less than 5%, if compared to the use of a single proposed ion-selective electrode. © 2011 by the authors; licensee MDPI, Basel, Switzerland.
Original languageEnglish
Pages (from-to)3214-3226
JournalSensors
Volume11
Issue number3
DOIs
Publication statusPublished - 1 Mar 2011

Keywords

  • Artificial neural network
  • Electronic tongue
  • Ion-selective electrode
  • Perchlorate
  • Phtalocyanine ionophores
  • Sulfide

Fingerprint

Dive into the research topics of 'Potentiometric electronic tongue to resolve mixtures of sulfide and perchlorate anions'. Together they form a unique fingerprint.

Cite this