Electronic tongue using an enzyme inhibition biosensor array for the resolution of pesticide mixtures

Montserrat Cortina, Manuel Del Valle, Jean Louis Marty

Research output: Contribution to journalArticleResearchpeer-review

35 Citations (Scopus)

Abstract

An electronic tongue has been developed, employing an array of inhibition biosensors and Artificial Neural Networks (ANNs). The array of biosensors was formed by three amperometric pesticide biosensors that used different acetylcholinesterase (AChE) enzymes: the wild type from electric eel (EE) and two different genetically modified enzymes (B1 and B394). In order to model the response to dichlorvos and carbofuran mixtures, a total amount of 22 solutions were prepared, with random concentrations. Chronoamperometric responses of the biosensor array were used in order to obtain the inhibition bioelectronic tongue. Mean values of concentration of pesticides evaluated were 0.79 nM for dichlorvos and 4.1 nM for carbofuran. Good prediction ability was obtained with correlation coefficients better than 0.918 when the obtained values were compared with those expected for a set of 6 external test samples not used for training. © 2008 Wiley-VCH Verlag GmbH & Co. KGaA.
Original languageEnglish
Pages (from-to)54-60
JournalElectroanalysis
Volume20
Issue number1
DOIs
Publication statusPublished - 1 Jan 2008

Keywords

  • Acetylcholinesterase
  • Artificial neural network
  • Electronic tongue
  • Inhibition
  • Pesticides

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