Elsevier

Electrochimica Acta

Volume 451, 20 May 2023, 142271
Electrochimica Acta

SARS-CoV-2 detection enabled by a portable and label-free photoelectrochemical genosensor using graphitic carbon nitride and gold nanoparticles

https://doi.org/10.1016/j.electacta.2023.142271Get rights and content

Highlights

  • We developed a novel portable and label-free PEC genosensor for SARS-CoV-2.

  • GSH-AuNPs and c-g-C3N4 were synthesized for genosensor development.

  • Photocurrent decreases as ssDNA target concentration increases.

  • Genosensor detected SARS-CoV-2 in human saliva samples.

  • Saliva samples results were compared using RT-PCR.

Abstract

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 SARS-CoV-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−1 and a limit of detection of 2.2 and 3.4 fmol L−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.

Keywords

SARS-CoV-2 detection
Photoelectrochemical (PEC) sensor
Saliva test
Miniaturized platform
Arduino

Data availability

  • No data was used for the research described in the article.

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