Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine

Autores
Berninger, Teresa; Bliem, Christina; Piccinini, Esteban; Azzaroni, Omar; Knoll, Wolfgang
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Herein, a biosensor based on a reduced graphene oxide field effect transistor (rGO-FET) functionalized with the cascading enzymes arginase and urease was developed for the detection of L-arginine. Arginase and urease were immobilized on the rGO-FET sensing surface via electrostatic layer-by-layer assembly using polyethylenimine (PEI) as cationic building block. The signal transduction mechanism is based on the ability of the cascading enzymes to selectively perform chemical transformations and prompt local pH changes, that are sensitively detected by the rGO-FET. In the presence of L-arginine, the transistors modified with (PEI/urease(arginase)) multilayers showed a shift in the Dirac point due to the change in the local pH close to the graphene surface, produced by the catalyzed urea hydrolysis. The transistors were able to monitor L-arginine in the 10–1000 μM linear range with a LOD of 10 μM, displaying a fast response and a good long-term stability. The sensor showed stereospecificity and high selectivity in the presence of non-target amino acids. Taking into account the label-free, real-time measurement capabilities and the easily quantifiable, electronic output signal, this biosensor offers advantages over state-of-the-art L-arginine detection methods.
Fil: Berninger, Teresa. Austrian Institute Of Technology; Austria
Fil: Bliem, Christina. Austrian Institute Of Technology; Austria
Fil: Piccinini, Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina
Fil: Azzaroni, Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina
Fil: Knoll, Wolfgang. Austrian Institute Of Technology; Austria
Materia
ARGINASE
BIOSENSOR
ENZYMATIC CASCADE
FIELD-EFFECT TRANSISTOR
GRAPHENE
UREASE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/99708
Acceder
id CONICETDig_ef32e70bad2d12c88c9d5e33242a5e66
oai_identifier_str oai:ri.conicet.gov.ar:11336/99708
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginineBerninger, TeresaBliem, ChristinaPiccinini, EstebanAzzaroni, OmarKnoll, WolfgangARGINASEBIOSENSORENZYMATIC CASCADEFIELD-EFFECT TRANSISTORGRAPHENEUREASEhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Herein, a biosensor based on a reduced graphene oxide field effect transistor (rGO-FET) functionalized with the cascading enzymes arginase and urease was developed for the detection of L-arginine. Arginase and urease were immobilized on the rGO-FET sensing surface via electrostatic layer-by-layer assembly using polyethylenimine (PEI) as cationic building block. The signal transduction mechanism is based on the ability of the cascading enzymes to selectively perform chemical transformations and prompt local pH changes, that are sensitively detected by the rGO-FET. In the presence of L-arginine, the transistors modified with (PEI/urease(arginase)) multilayers showed a shift in the Dirac point due to the change in the local pH close to the graphene surface, produced by the catalyzed urea hydrolysis. The transistors were able to monitor L-arginine in the 10–1000 μM linear range with a LOD of 10 μM, displaying a fast response and a good long-term stability. The sensor showed stereospecificity and high selectivity in the presence of non-target amino acids. Taking into account the label-free, real-time measurement capabilities and the easily quantifiable, electronic output signal, this biosensor offers advantages over state-of-the-art L-arginine detection methods.Fil: Berninger, Teresa. Austrian Institute Of Technology; AustriaFil: Bliem, Christina. Austrian Institute Of Technology; AustriaFil: Piccinini, Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; ArgentinaFil: Azzaroni, Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; ArgentinaFil: Knoll, Wolfgang. Austrian Institute Of Technology; AustriaElsevier Advanced Technology2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/99708Berninger, Teresa; Bliem, Christina; Piccinini, Esteban; Azzaroni, Omar; Knoll, Wolfgang; Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine; Elsevier Advanced Technology; Biosensors & Bioelectronics; 115; 9-2018; 104-1100956-5663CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/hhttps://www.sciencedirect.com/science/article/pii/S0956566318303725info:eu-repo/semantics/altIdentifier/doi/10.1016/j.bios.2018.05.027info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-29T12:49:39Zoai:ri.conicet.gov.ar:11336/99708instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-29 12:49:39.497CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine
title Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine
spellingShingle Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine
Berninger, Teresa
ARGINASE
BIOSENSOR
ENZYMATIC CASCADE
FIELD-EFFECT TRANSISTOR
GRAPHENE
UREASE
title_short Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine
title_full Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine
title_fullStr Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine
title_full_unstemmed Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine
title_sort Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine
dc.creator.none.fl_str_mv Berninger, Teresa
Bliem, Christina
Piccinini, Esteban
Azzaroni, Omar
Knoll, Wolfgang
author Berninger, Teresa
author_facet Berninger, Teresa
Bliem, Christina
Piccinini, Esteban
Azzaroni, Omar
Knoll, Wolfgang
author_role author
author2 Bliem, Christina
Piccinini, Esteban
Azzaroni, Omar
Knoll, Wolfgang
author2_role author
author
author
author
dc.subject.none.fl_str_mv ARGINASE
BIOSENSOR
ENZYMATIC CASCADE
FIELD-EFFECT TRANSISTOR
GRAPHENE
UREASE
topic ARGINASE
BIOSENSOR
ENZYMATIC CASCADE
FIELD-EFFECT TRANSISTOR
GRAPHENE
UREASE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Herein, a biosensor based on a reduced graphene oxide field effect transistor (rGO-FET) functionalized with the cascading enzymes arginase and urease was developed for the detection of L-arginine. Arginase and urease were immobilized on the rGO-FET sensing surface via electrostatic layer-by-layer assembly using polyethylenimine (PEI) as cationic building block. The signal transduction mechanism is based on the ability of the cascading enzymes to selectively perform chemical transformations and prompt local pH changes, that are sensitively detected by the rGO-FET. In the presence of L-arginine, the transistors modified with (PEI/urease(arginase)) multilayers showed a shift in the Dirac point due to the change in the local pH close to the graphene surface, produced by the catalyzed urea hydrolysis. The transistors were able to monitor L-arginine in the 10–1000 μM linear range with a LOD of 10 μM, displaying a fast response and a good long-term stability. The sensor showed stereospecificity and high selectivity in the presence of non-target amino acids. Taking into account the label-free, real-time measurement capabilities and the easily quantifiable, electronic output signal, this biosensor offers advantages over state-of-the-art L-arginine detection methods.
Fil: Berninger, Teresa. Austrian Institute Of Technology; Austria
Fil: Bliem, Christina. Austrian Institute Of Technology; Austria
Fil: Piccinini, Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina
Fil: Azzaroni, Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina
Fil: Knoll, Wolfgang. Austrian Institute Of Technology; Austria
description Herein, a biosensor based on a reduced graphene oxide field effect transistor (rGO-FET) functionalized with the cascading enzymes arginase and urease was developed for the detection of L-arginine. Arginase and urease were immobilized on the rGO-FET sensing surface via electrostatic layer-by-layer assembly using polyethylenimine (PEI) as cationic building block. The signal transduction mechanism is based on the ability of the cascading enzymes to selectively perform chemical transformations and prompt local pH changes, that are sensitively detected by the rGO-FET. In the presence of L-arginine, the transistors modified with (PEI/urease(arginase)) multilayers showed a shift in the Dirac point due to the change in the local pH close to the graphene surface, produced by the catalyzed urea hydrolysis. The transistors were able to monitor L-arginine in the 10–1000 μM linear range with a LOD of 10 μM, displaying a fast response and a good long-term stability. The sensor showed stereospecificity and high selectivity in the presence of non-target amino acids. Taking into account the label-free, real-time measurement capabilities and the easily quantifiable, electronic output signal, this biosensor offers advantages over state-of-the-art L-arginine detection methods.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/99708
Berninger, Teresa; Bliem, Christina; Piccinini, Esteban; Azzaroni, Omar; Knoll, Wolfgang; Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine; Elsevier Advanced Technology; Biosensors & Bioelectronics; 115; 9-2018; 104-110
0956-5663
CONICET Digital
CONICET
url http://hdl.handle.net/11336/99708
identifier_str_mv Berninger, Teresa; Bliem, Christina; Piccinini, Esteban; Azzaroni, Omar; Knoll, Wolfgang; Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine; Elsevier Advanced Technology; Biosensors & Bioelectronics; 115; 9-2018; 104-110
0956-5663
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/hhttps://www.sciencedirect.com/science/article/pii/S0956566318303725
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.bios.2018.05.027
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Advanced Technology
publisher.none.fl_str_mv Elsevier Advanced Technology
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1847427568222863360
score 13.10058

Publicaciones similares