Multivariate determination of total sugar content and ethanol in bioethanol production using carbon electrodes modified with MWCNT/MeOOH and chemometric data treatment
Cardoso de Sá, Acelino (Universitat Autònoma de Barcelona. Departament de Química)
Cipri, Andrea (Universitat Autònoma de Barcelona. Departament de Química)
González-Calabuig, Andreu (Universitat Autònoma de Barcelona. Departament de Química)
Stradiotto, Nelson Ramos (Universidade Estadual Paulista. Departamento de Química Analítica)
Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)

Date:	2018
Abstract:	This work reports the characterization and application of a voltammetric electronic tongue using an array of glassy carbon electrodes modified with multi-walled carbon nanotubes containing metal (Pd, Au, Cu) and oxy-hydroxide nanoparticles (MetalsOOH of Ni, Co) towards the determination of total sugar content in products related with sugarcane-bioethanol production. The prediction model based on Artificial Neural Networks (ANN) has given satisfactory results for the carbohydrate sum and the obtained response had shown an adequate accuracy. Voltammetric data was first adapted for the computation using the Fast Fourier transform, and results from the electronic tongue approach were compared with use of different electrodes alone. Final performance was better using uniquely the Ni oxy-hydroxide modified electrode, especially in the quantification of ethanol, a side-effect of counter-balancing its interference.
Grants:	Ministerio de Economía y Competitividad CTQ2016-80170-P Ministerio de Economía y Competitividad CTQ2013-41577-P
Note:	Altres ajuts: A.Cipri was supported by Research Executive Agency (REA) of the European Union under Grant Agreement number PITN-GA-2010-264772 (ITN CHEBANA). M del Valle acknowledges support by the Catalonia program ICREA Academia.
Rights:	Tots els drets reservats.
Language:	Anglès
Document:	Article ; recerca ; Versió sotmesa a revisió
Subject:	Artificial neural network ; Bioethanol ; Metal nanoparticles ; Multi-walled carbon nanotubes ; Total sugars
Published in:	Electroanalysis, Vol. 30, issue 8 (Aug. 2018) , p. 1688-1697, ISSN 1521-4109

DOI: 10.1002/elan.201700725

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