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http://hdl.handle.net/1843/58304
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DC Field | Value | Language |
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dc.creator | Pedro Rodrigues de Almeida III | pt_BR |
dc.creator | André Melro Murad | pt_BR |
dc.creator | Luciano Paulino da Silva | pt_BR |
dc.creator | Elibio Leopoldo Rech Filho | pt_BR |
dc.creator | Elmo Salomão Alves | pt_BR |
dc.date.accessioned | 2023-08-28T18:36:53Z | - |
dc.date.available | 2023-08-28T18:36:53Z | - |
dc.date.issued | 2020 | - |
dc.citation.volume | 10 | pt_BR |
dc.citation.issue | 12 | pt_BR |
dc.citation.spage | 1 | pt_BR |
dc.citation.epage | 9 | pt_BR |
dc.identifier.doi | https://doi.org/10.3390/bios10120206 | pt_BR |
dc.identifier.issn | 2079-6374 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/1843/58304 | - |
dc.description.resumo | We 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. | pt_BR |
dc.description.sponsorship | CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico | pt_BR |
dc.description.sponsorship | CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | pt_BR |
dc.format.mimetype | pt_BR | |
dc.language | eng | pt_BR |
dc.publisher | Universidade Federal de Minas Gerais | pt_BR |
dc.publisher.country | Brasil | pt_BR |
dc.publisher.department | ICX - DEPARTAMENTO DE FÍSICA | pt_BR |
dc.publisher.initials | UFMG | pt_BR |
dc.relation.ispartof | Biosensors | - |
dc.rights | Acesso Aberto | pt_BR |
dc.subject | Graphene biosensor | pt_BR |
dc.subject | Electrochemical sensor | pt_BR |
dc.subject | Genetically modified soybean | pt_BR |
dc.subject | Recombinant cyanovirin-N | pt_BR |
dc.subject.other | Grafeno | pt_BR |
dc.subject.other | Sensores | pt_BR |
dc.title | Development of a graphene-based biosensor for detecting recombinant cyanovirin-N | pt_BR |
dc.type | Artigo de Periódico | pt_BR |
dc.url.externa | https://www.mdpi.com/2079-6374/10/12/206 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-8514-5265 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-9075-7725 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-8588-0673 | pt_BR |
Appears in Collections: | Artigo de Periódico |
Files in This Item:
File | Description | Size | Format | |
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Development of a Graphene-Based Biosensor for detecting recombinant cyanovirin N.pdf | 1.6 MB | Adobe PDF | View/Open |
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