Artificial neural networks for the resolution of dopamine and serotonin complex mixtures using a graphene-modified carbon electrode

This work explores an electrode modified with electrochemically reduced graphene oxide (ERGO) for the voltammetric resolution of mixtures of neurotransmitters and its most common interferents. This enhanced sensitivity device coupled with advanced chemometric tools, such as artificial neural network...

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Detalles Bibliográficos
Autores: Bonet-SanEmeterio, Marta|||0000-0002-5076-8136, González-Calabuig, Andreu|||0000-0002-6325-138X, Valle, Manel del|||0000-0002-1032-8611
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:255125
Acceso en línea:https://ddd.uab.cat/record/255125
https://dx.doi.org/urn:doi:10.1002/elan.201800525
Access Level:acceso abierto
Palabra clave:Graphene
Dopamine
Serotonin
Chemometrics
Voltammetry
Descripción
Sumario:This work explores an electrode modified with electrochemically reduced graphene oxide (ERGO) for the voltammetric resolution of mixtures of neurotransmitters and its most common interferents. This enhanced sensitivity device coupled with advanced chemometric tools, such as artificial neural networks (ANNs), is able to resolve and quantify complex mixtures with overlapped signals. In this case, it has been applied to dopamine (DA), serotonin (5-hydroxytryptamine, 5-HT) and its main physiologic interferents, ascorbic acid (AA) and uric acid (UA), which play a relevant role in human body. The results obtained for individual analysis make evident a higher sensitivity of the developed sensor than the unmodified electrode. Furthermore, it has been attained an ANN response model with good correlation ability allowing the separation and quantification of each compound with comparison slope of predicted vs. expected concentrations with correlation better than 0.974. In short, the developed ERGO-modified sensor not only improved the signal but it also permitted resolving and quantifying each compound in complex mixtures when the proper chemometric treatment was used.