MIPdatabase
Authors: Herrera-Chacon A, González-Calabuig A, Campos I, del Valle M
Article Title: Bioelectronic tongue using MIP sensors for the resolution of volatile phenolic compounds.
Publication date: 2018
Journal: Sensors and Actuators B: Chemical
Volume: 258
Page numbers: 665-671.
DOI: 10.1016/j.snb.2017.11.136
Alternative URL: http://www.sciencedirect.com/science/article/pii/S0925400517322670
Abstract: 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)
Template and target information: 4-ethylphenol, 4-EP, 4-ethylguaiacol, 4-EG
Author keywords: molecularly imprinted polymer, Electronic tongue, Artificial neural networks, differential pulse voltammetry, Volatile phenols
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