Development of a graphene-based biosensor for detecting recombinant cyanovirin-N

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dc.creatorPedro Rodrigues de Almeida III
dc.creatorAndré Melro Murad
dc.creatorLuciano Paulino da Silva
dc.creatorElibio Leopoldo Rech Filho
dc.creatorElmo Salomão Alves
dc.date.accessioned2023-08-28T18:36:53Z
dc.date.accessioned2025-09-09T01:19:21Z
dc.date.available2023-08-28T18:36:53Z
dc.date.issued2020
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.3390/bios10120206
dc.identifier.issn2079-6374
dc.identifier.urihttps://hdl.handle.net/1843/58304
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofBiosensors
dc.rightsAcesso Aberto
dc.subjectGrafeno
dc.subjectSensores
dc.subject.otherGraphene biosensor
dc.subject.otherElectrochemical sensor
dc.subject.otherGenetically modified soybean
dc.subject.otherRecombinant cyanovirin-N
dc.titleDevelopment of a graphene-based biosensor for detecting recombinant cyanovirin-N
dc.typeArtigo de periódico
local.citation.epage9
local.citation.issue12
local.citation.spage1
local.citation.volume10
local.description.resumoWe present a graphene-based biosensor selective to recombinant cyanovirin-N (rCV-N),an antiviral protein that has proven to be an effective microbicide to inhibit HIV replication. We modified the graphene monolayer devices with 1-pyrenebutanoic acid succinimidyl ester, which interacts with both graphene and the primary and secondary amines of antibodies. By monitoring the change in the electrical resistance of the device, we were able to detect rCV-N in solutions in the range of 0.01 to 10 ng/mL, and found that the detection limit was 0.45 pg/mL, which is much smaller than that obtained with currently available techniques. This is important for applications of this microbicide against HIV, since it may be produced at a large scale from soya bean seeds processed using the available industrial processing technologies. The sensor showed high sensitivity, selectivity, and reproducibility.
local.identifier.orcidhttps://orcid.org/0000-0001-8514-5265
local.identifier.orcidhttps://orcid.org/0000-0001-9075-7725
local.identifier.orcidhttps://orcid.org/0000-0001-8588-0673
local.publisher.countryBrasil
local.publisher.departmentICX - DEPARTAMENTO DE FÍSICA
local.publisher.initialsUFMG
local.url.externahttps://www.mdpi.com/2079-6374/10/12/206

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