Resolution of Glycerol, Ethanol and Methanol Employing a Voltammetric Electronic Tongue
| dc.contributor.author | de Oliveira, João Pedro Jenson [UNESP] | |
| dc.contributor.author | Bonet-San-Emeterio, Marta | |
| dc.contributor.author | de Sá, Acelino Cardoso | |
| dc.contributor.author | Cetó, Xavier | |
| dc.contributor.author | Paim, Leonardo Lataro [UNESP] | |
| dc.contributor.author | del Valle, Manel | |
| dc.contributor.institution | Universidade Estadual de Campinas (UNICAMP) | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | Universitat Autònoma de Barcelona (UAB) | |
| dc.contributor.institution | Universidade de São Paulo (USP) | |
| dc.date.accessioned | 2025-04-29T20:06:31Z | |
| dc.date.issued | 2024-09-01 | |
| dc.description.abstract | This paper reports the use of nanoparticles (NPs)-modified voltammetric sensors for the rapid determination of glycerol in the presence of ethanol and methanol, which are used in the transesterification reaction of biodiesel production. Two different modified electrodes have been prepared to form the electronic tongue (ET): copper hexacyanoferrate NPs obtained by chemical synthesis and mixed into graphite/epoxy (GEC) electrode, and nickel hydroxide NPs electrodeposited in reduced graphene oxide onto a GEC electrode. The response characteristics of these electrodes were first evaluated by building the respective calibration against glycerol, ethanol, and methanol. The electrodes demonstrated good stability during their analytical characterization, while principal component analysis confirmed the differentiated response against the different alcohols. Finally, the quantification of mixtures of these substances was achieved by a genetic algorithm-artificial neural networks (GA-ANNs) model, showing satisfactory agreement between expected and obtained values. | en |
| dc.description.affiliation | School of Electrical and Computer Engineering University of Campinas (UNICAMP), São Paulo | |
| dc.description.affiliation | Department of Energy Engineering São Paulo State University (UNESP), São Paulo | |
| dc.description.affiliation | Sensors and Biosensors Group Department of Chemistry Universitat Autònoma de Barcelona (UAB), Edifici CnBarcelona | |
| dc.description.affiliation | Department of Physics and Materials Science University of São Paulo (USP), São Paulo | |
| dc.description.affiliationUnesp | Department of Energy Engineering São Paulo State University (UNESP), São Paulo | |
| dc.description.sponsorship | Ministerio de Ciencia e Innovación | |
| dc.description.sponsorshipId | Ministerio de Ciencia e Innovación: MCIN/AEI/10.1303/501100011033 | |
| dc.description.sponsorshipId | Ministerio de Ciencia e Innovación: PID2022-136709OB-C21 | |
| dc.identifier | http://dx.doi.org/10.3390/chemosensors12090173 | |
| dc.identifier.citation | Chemosensors, v. 12, n. 9, 2024. | |
| dc.identifier.doi | 10.3390/chemosensors12090173 | |
| dc.identifier.issn | 2227-9040 | |
| dc.identifier.scopus | 2-s2.0-85205242523 | |
| dc.identifier.uri | https://hdl.handle.net/11449/306525 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Chemosensors | |
| dc.source | Scopus | |
| dc.subject | artificial neural networks | |
| dc.subject | biodiesel | |
| dc.subject | electronic tongue | |
| dc.subject | glycerol | |
| dc.subject | nanoparticles modifiers | |
| dc.title | Resolution of Glycerol, Ethanol and Methanol Employing a Voltammetric Electronic Tongue | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| unesp.author.orcid | 0000-0003-1355-2886[1] | |
| unesp.author.orcid | 0000-0002-9811-4879[3] | |
| unesp.author.orcid | 0000-0002-5113-6376[5] | |
| unesp.author.orcid | 0000-0002-1032-8611[6] |

