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dc.contributor.authorToral López, Alejandro 
dc.contributor.authorGonzález Marín, Enrique 
dc.contributor.authorGodoy Medina, Andrés 
dc.date.accessioned2022-07-06T10:11:54Z
dc.date.available2022-07-06T10:11:54Z
dc.date.issued2022-06-17
dc.identifier.citationNanoscale Adv., 2022, Advance Article. DOI: [10.1039/d2na00357k]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/75848
dc.description.abstractBiological Field-Effect Transistors (BioFETs) have already demonstrated enormous potential for detecting minute amounts of ions and molecules. The use of two-dimensional (2D) materials has been shown to boost their performance and to enable the design of new applications. This combination deserves special interest in the current pandemic caused by the SARS-CoV-2 virus which demands fast, reliable and cheap detection methods. However, in spite of the experimental advances, there is a lack of a comprehensive and in-depth computational approach to capture the mechanisms underlying the sensor behaviour. Here, we present a multiscale platform that combines detailed atomic models of the molecules with mesoscopic device-level simulations. The fine-level description exploited in this approach accounts for the charge distribution of the receptor, its reconfiguration when the target binds to it, and the consequences in terms of sensitivity on the transduction mechanism. The results encourage the further exploration of improved sensor designs and 2D materials combined with diverse receptors selected to achieve the desired specificity.es_ES
dc.description.sponsorshipMCIN/AEI PID2020-116518GB-I00es_ES
dc.description.sponsorshipFEDER/Junta de Andalucia-Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades PY20_00633 B-RNM-375-UGR18es_ES
dc.description.sponsorshipEuropean Commission 825213 945539es_ES
dc.description.sponsorshipSpanish Government FPU16/04043es_ES
dc.description.sponsorshipKlaus Tschira Foundationes_ES
dc.language.isoenges_ES
dc.publisherRoyal Society of Chemistryes_ES
dc.rightsAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleGraphene BioFET sensors for SARS-CoV-2 detection: a multiscale simulation approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/825213es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/945539es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1039/d2na00357k
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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