Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors

COVID-19, caused by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), originated a global health crisis, causing over 2 million casualties and altering human daily life all over the world. This pandemic emergency revealed the limitations of current diagnostic tests, highlighting the...

Descripción completa

Detalles Bibliográficos
Autores: Silvestri, Alessandro, Zayas Arrabal, Julián, Vera Hidalgo, Mariano, Di Silvo, Desiré, Wetzl, Cecilia, Martínez Moro, Marta, Zurutuza, Amaia, Torres, Elias, Centeno, Alba, Maestre, Arantxa, Gómez, Juan Manuel, Arrastua, María, Elicegui, Marta, Ontoso Martínez, Nerea, Prato, Maurizio, Coluzza, Iván, Criado Fernández, Alejandro
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:dnet:addi________::2ef2205a1cbe1bb1726bf8c708cbdff0
Acceso en línea:http://hdl.handle.net/10810/78925
Access Level:acceso abierto
Palabra clave:Graphene
GFET
Detection
Covid
id ES_c331ee2d8640a5459d114012ddd1748e
oai_identifier_str oai:dnet:addi________::2ef2205a1cbe1bb1726bf8c708cbdff0
network_acronym_str ES
network_name_str España
repository_id_str
spelling Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistorsSilvestri, AlessandroZayas Arrabal, JuliánVera Hidalgo, MarianoDi Silvo, DesiréWetzl, CeciliaMartínez Moro, MartaZurutuza, AmaiaTorres, EliasCenteno, AlbaMaestre, ArantxaGómez, Juan ManuelArrastua, MaríaElicegui, MartaOntoso Martínez, NereaPrato, MaurizioColuzza, IvánCriado Fernández, AlejandroGrapheneGFETDetectionCovidCOVID-19, caused by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), originated a global health crisis, causing over 2 million casualties and altering human daily life all over the world. This pandemic emergency revealed the limitations of current diagnostic tests, highlighting the urgency to develop faster, more precise and sensitive sensors. Graphene field effect transistors (GFET) are analytical platforms that enclose all these requirements. However, the design of a sensitive and robust GFET is not a straightforward objective. In this work, we report a GFET array biosensor for the detection of SARS-CoV-2 spike protein using the human membrane protein involved in the virus internalisation: angiotensin-converting enzyme 2 (ACE2). By finely controlling the graphene functionalisation, by tuning the Debye length, and by deeply characterising the ACE2-spike protein interactions, we have been able to detect the target protein with an extremely low limit of detection (2.94 aM). This work set the basis for a new class of analytical platforms, based on human membrane proteins, with the potential to detect a broad variety of pathogens, even before their isolation, being a powerful tool in the fight against future pandemics.This project was funded by the Fommento Donostia-San Sebastián, through Talentu Berritzailea/Talento Innovador 2020 (No. 0577/2020/0051), and the Program for Technology Transfer 2021 (0632/2021/0002). M. P. as recipient of the AXA Chair, is grateful to AXA Chair in Nanobiotechnology supported by the AXA Research Fund. A. S. thanks Spanish Ministry of Science and Innovation (MCIN) for his research grant FJC2018-036777-I. A.C. thanks Xunta de Galicia and MCIN for his research grants Atracción de Talento (No. ED431H 2020/17) and Ramón y Cajal (No. RYC2020-030183-I), respectively. Part of this work was performed under the Maria de Maeztu Units of Excellence Program grant MDM-2017-0720 funded by MCIN/AEI/10.13039/501100011033.RSC202620262022info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/78925reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://doi.org/10.1039/D2NR05103Finfo:eu-repo/semantics/openAccess© 2023 The Royal Society of Chemistryoai:dnet:addi________::2ef2205a1cbe1bb1726bf8c708cbdff02026-06-18T09:23:17Z
dc.title.none.fl_str_mv Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors
title Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors
spellingShingle Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors
Silvestri, Alessandro
Graphene
GFET
Detection
Covid
title_short Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors
title_full Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors
title_fullStr Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors
title_full_unstemmed Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors
title_sort Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors
dc.creator.none.fl_str_mv Silvestri, Alessandro
Zayas Arrabal, Julián
Vera Hidalgo, Mariano
Di Silvo, Desiré
Wetzl, Cecilia
Martínez Moro, Marta
Zurutuza, Amaia
Torres, Elias
Centeno, Alba
Maestre, Arantxa
Gómez, Juan Manuel
Arrastua, María
Elicegui, Marta
Ontoso Martínez, Nerea
Prato, Maurizio
Coluzza, Iván
Criado Fernández, Alejandro
author Silvestri, Alessandro
author_facet Silvestri, Alessandro
Zayas Arrabal, Julián
Vera Hidalgo, Mariano
Di Silvo, Desiré
Wetzl, Cecilia
Martínez Moro, Marta
Zurutuza, Amaia
Torres, Elias
Centeno, Alba
Maestre, Arantxa
Gómez, Juan Manuel
Arrastua, María
Elicegui, Marta
Ontoso Martínez, Nerea
Prato, Maurizio
Coluzza, Iván
Criado Fernández, Alejandro
author_role author
author2 Zayas Arrabal, Julián
Vera Hidalgo, Mariano
Di Silvo, Desiré
Wetzl, Cecilia
Martínez Moro, Marta
Zurutuza, Amaia
Torres, Elias
Centeno, Alba
Maestre, Arantxa
Gómez, Juan Manuel
Arrastua, María
Elicegui, Marta
Ontoso Martínez, Nerea
Prato, Maurizio
Coluzza, Iván
Criado Fernández, Alejandro
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Graphene

GFET
Detection
Covid
topic Graphene
GFET
Detection
Covid
description COVID-19, caused by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), originated a global health crisis, causing over 2 million casualties and altering human daily life all over the world. This pandemic emergency revealed the limitations of current diagnostic tests, highlighting the urgency to develop faster, more precise and sensitive sensors. Graphene field effect transistors (GFET) are analytical platforms that enclose all these requirements. However, the design of a sensitive and robust GFET is not a straightforward objective. In this work, we report a GFET array biosensor for the detection of SARS-CoV-2 spike protein using the human membrane protein involved in the virus internalisation: angiotensin-converting enzyme 2 (ACE2). By finely controlling the graphene functionalisation, by tuning the Debye length, and by deeply characterising the ACE2-spike protein interactions, we have been able to detect the target protein with an extremely low limit of detection (2.94 aM). This work set the basis for a new class of analytical platforms, based on human membrane proteins, with the potential to detect a broad variety of pathogens, even before their isolation, being a powerful tool in the fight against future pandemics.
publishDate 2022
dc.date.none.fl_str_mv 2022
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/78925
url http://hdl.handle.net/10810/78925
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1039/D2NR05103F
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
© 2023 The Royal Society of Chemistry
eu_rights_str_mv openAccess
rights_invalid_str_mv © 2023 The Royal Society of Chemistry
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv RSC
publisher.none.fl_str_mv RSC
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418754185625600
score 15,812429

Similares en LA Referencia