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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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González-Calabuig, Andreu
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2018Bioelectronic tongue using MIP sensors for the resolution of volatile phenolic compounds
- 2018Multivariate Determination of Total Sugar Content and Ethanol in Bioethanol Production Using Carbon Electrodes Modified with MWCNT/MeOOH and Chemometric Data Treatment
- 2016Analysis of Amino Acid Mixtures by Voltammetric Electronic Tongues and Artificial Neural Networks
- 2016Simultaneous Voltammetric Determination of Heavy Metals by Use of Crown Ether-modified Electrodes and Chemometricscitations
- 2016Resolution of galactose, glucose, xylose and mannose in sugarcane bagasse employing a voltammetric electronic tongue formed by metals oxy-hydroxide/MWCNT modified electrodescitations
- 2015Crown ether-modified electrodes for the simultaneous stripping voltammetric determination of Cd(II), Pb(II) and Cu(II)citations
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article
Bioelectronic tongue using MIP sensors for the resolution of volatile phenolic compounds
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).