Bioelectronic tongue using MIP sensors for the resolution of volatile phenolic compounds

Anna Herrera-Chacon, Andreu González-Calabuig, Inmaculada Campos, Manel del Valle

Research output: Contribution to journalArticleResearchpeer-review

12 Citations (Scopus)

Abstract

© 2017 Elsevier B.V. The proposed approach reports the combined advantages of biosensors made of molecularly imprinted polymers (MIPs) and the modelling capabilities of Artificial Neural Networks (ANN) in a bio-electronic tongue (BioET) analysis system for the very first time. Molecularly imprinted polymers taylor-made for 4-ethylphenol (4-EP) and 4-ethylguaiacol (4-EG) and their control polymers, non-imprinted polymers (NIPs), were succesfully synthesized with similar morphologies and integrated onto an electrochemical sensor surface, as the recognition element, via sol-gel immobilization. The resulting MIP-functionalized electrodes were employed to arrange an array of different biosensor electrodes to quantify by means of ANN the binary mixtures of 4-EP and 4-EG yielding an obtained vs. expected correlation coefficient >0.98 and a normalized root mean square error (NRMSE) <0.076 (external test subset).
Original languageEnglish
Pages (from-to)665-671
JournalSensors and Actuators, B: Chemical
Volume258
DOIs
Publication statusPublished - 1 Apr 2018

Keywords

  • Artificial neural networks
  • Differential pulse voltammetry
  • Electronic tongue
  • Molecularly imprinted polymer
  • Volatile phenols

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