Data/hora: 24/06/2024 20:40:26

Biblioteca(s): | Embrapa Instrumentação.
Data corrente: | 20/04/2023
Data da última atualização: | 15/01/2024
Autoria: | CATUNDA, L. G. S.; PRADO, T. M. do; OLIVEIRA, T. R. de; SANTOS, D. J. A. dos; GOMES, N. O.; CORREA, D. S.; FARIA, R. C.; MACHADO, S. A. S.
Afiliação: | DANIEL SOUZA CORREA, CNPDIA.
Título: | SARS-CoV-2 detection enabled by a portable and label-free photoelectrochemical genosensor using graphitic carbon nitride and gold nanoparticles.
Ano de publicação: | 2023
Fonte/Imprenta: | Electrochimica Acta, v. 451, 142271, 2023.
Páginas: | 10 p.
ISSN: | 0013-4686
DOI: | https://doi.org/10.1016/j.electacta.2023.142271
Idioma: | Inglês
Conteúdo: | Fast, sensitive, simple, and cheap sensors are highly desirable to be applied in the health system because they improve point-of-care diagnostics, which can reduce the number of cases of infection or even deaths. In this context, here we report the development of a label-free genosensor using a screen-printed electrode modified with 2D-carbonylated graphitic carbon nitride (c-g-C3N4), poly(diallyldimethylammonium) chloride (PDDA), and glutathione-protected gold nanoparticles (GSH-AuNPs) for photoelectrochemical (PEC) detection of SARS-CoV-2. We also made use of Arduino and 3D printing to miniaturize the sensor device. The electrode surface was characterized by AFM and SEM techniques, and the gold nanoparticles by UV?Vis spectrophotometry. For SARSCoV-2 detection, capture probe DNA was immobilized on the electrode surface. The hybridization of the final genosensor was tested with a synthetic single-strand DNA target and with natural saliva samples using the photoelectrochemistry method. The device presented a linear range from 1 to 10,000 fmol L&#8722; 1 and a limit of detection of 2.2 and 3.4 fmol L&#8722; 1 using cpDNA 1A and 3A respectively. The sensibility and accuracy found for the genosensor using cpDNA 1A using biological samples were 93.3 and 80% respectively, indicating the potential of the label-free and portable genosensor to detect SARS-CoV-2 RNA in saliva samples.
Palavras-Chave: | Arduino; Saliva test; Saliva test Miniaturized platform; SARS-CoV-2 detection; SARS-CoV-2 detection Photoelectrochemical (PEC) sensor.
Categoria do assunto: | --
Registro original: | Embrapa Instrumentação (CNPDIA)
Exemplares: | CNPDIA - (18222-1) - UPC - AP - DD - PROCI.23/37 -  - 2023/41 - DIS