Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis

Producción Científica

Detalles Bibliográficos
Autores: Salvo Comino, Coral, Martín Bartolomé, Patricia, Pura Ruiz, José Luis, Pérez González, Clara, Martín Pedrosa, Fernando, García Cabezón, Ana Cristina, Rodríguez Méndez, María Luz
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/52836
Acceso en línea:https://doi.org/10.1016/j.snb.2022.131877
https://uvadoc.uva.es/handle/10324/52836
Access Level:acceso abierto
Palabra clave:Electronic tongue
Lengua electrónica
Electrochemical sensors
Sensores electroquímicos
Milk
Leche
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spelling Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysisSalvo Comino, CoralMartín Bartolomé, PatriciaPura Ruiz, José LuisPérez González, ClaraMartín Pedrosa, FernandoGarcía Cabezón, Ana CristinaRodríguez Méndez, María LuzElectronic tongueLengua electrónicaElectrochemical sensorsSensores electroquímicosMilkLecheProducción CientíficaRecent advances in the field of electronic tongues (ET) are linked to the development of devices dedicated to a particular application. Following this idea, we have developed a voltammetric bioelectronic tongue (bioET) specifically dedicated to analyze milk. The performance of the multisensor system has been improved by incorporating biosensors combining specific enzymes for the detection of sugars present in milk (β-galactosidase, glucose oxidase and galactose oxidase) with silver nanomaterials. It has been demonstrated that silver nanowires (AgNWs) provide a more effective platform for the immobilization of biomolecules than silver nanoparticles (AgNPs), inducing unique performance characteristics in terms of sensitivity and detection limits. Two multisensor systems have been developed; one based on combinations of AgNWs and enzymes (AgNW/bioET) and a second based on combinations of AgNPs and enzymes (AgNP/bioET). Principal component analysis (PCA) demonstrates that the bioET based on combinations of AgNWs and enzymes (AgNW/bioET) can discriminate 9 classes of milk with different fat content (skimmed, semi-skimmed and whole), as well as different nutritional compositions (classic, calcium-enriched and lactose-free), with a higher capacity than the bioET based on combinations of AgNPs and enzymes (AgNP/bioET). Support vector machine (SVMR) models show excellent correlation coefficients between the responses of the bioETs and physicochemical parameters commonly used to evaluate the quality of milk (acidity, density, fat, proteins, lactose, total dry matter and non-fat dry matter). The good results obtained support the dairy industry’s interest in dedicated bioETs, not only for classification purposes but also to obtain information concerning several physicochemical parameters in a singleMinisterio de Economía, Industria y Competitividad - Fondo Europeo de Desarrollo Regional (project RTI2018-097990-B-100)Junta de Castilla y León - Fondo Europeo de Desarrollo Regional (project VA202P20)Infraestructuras Red de Castilla y León (INFRARED) UVA01 - Unión Europea - Fondo Europeo de Desarrollo Regional (project CLU-2019-04)Ministerio de Ciencia, Innovación y Universidades (fellowship AGL 2015-67482_R)Elsevier2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1016/j.snb.2022.131877https://uvadoc.uva.es/handle/10324/52836reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://www.sciencedirect.com/science/article/pii/S0925400522005196?via%3Dihubinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:uvadoc.uva.es:10324/528362026-06-13T12:44:47Z
dc.title.none.fl_str_mv Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
title Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
spellingShingle Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
Salvo Comino, Coral
Electronic tongue
Lengua electrónica
Electrochemical sensors
Sensores electroquímicos
Milk
Leche
title_short Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
title_full Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
title_fullStr Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
title_full_unstemmed Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
title_sort Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
dc.creator.none.fl_str_mv Salvo Comino, Coral
Martín Bartolomé, Patricia
Pura Ruiz, José Luis
Pérez González, Clara
Martín Pedrosa, Fernando
García Cabezón, Ana Cristina
Rodríguez Méndez, María Luz
author Salvo Comino, Coral
author_facet Salvo Comino, Coral
Martín Bartolomé, Patricia
Pura Ruiz, José Luis
Pérez González, Clara
Martín Pedrosa, Fernando
García Cabezón, Ana Cristina
Rodríguez Méndez, María Luz
author_role author
author2 Martín Bartolomé, Patricia
Pura Ruiz, José Luis
Pérez González, Clara
Martín Pedrosa, Fernando
García Cabezón, Ana Cristina
Rodríguez Méndez, María Luz
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Electronic tongue
Lengua electrónica
Electrochemical sensors
Sensores electroquímicos
Milk
Leche
topic Electronic tongue
Lengua electrónica
Electrochemical sensors
Sensores electroquímicos
Milk
Leche
description Producción Científica
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.snb.2022.131877
https://uvadoc.uva.es/handle/10324/52836
url https://doi.org/10.1016/j.snb.2022.131877
https://uvadoc.uva.es/handle/10324/52836
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0925400522005196?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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