Detection of IgG Antibodies Against COVID-19 N-Protein by Hybrid Graphene–Nanorod Sensor
The COVID-19 pandemic highlighted the global necessity to develop fast, affordable, and user-friendly diagnostic alternatives. Alongside recognized tests such as ELISA, nanotechnologies have since been explored for direct and indirect diagnosis of SARS-CoV-2, the etiological agent of COVID-19. Accordingly, in this work, we report a method to detect anti-SARS-CoV-2 antibodies based on graphene-based field-effect transistors (GFETs), using a nanostructured platform of graphene with added gold nanorods (GNRs) and a specific viral protein. To detect anti-N-protein IgG antibodies for COVID-19 in human sera, gold nanorods were functionalized with the nucleocapsid (N) protein of SARS-CoV-2, and subsequently deposited onto graphene devices. Our test results demonstrate that the sensor is highly sensitive and can detect antibody concentrations as low as 100 pg/mL. Using the sensor to test human sera that were previously diagnosed with ELISA showed a 90% accuracy rate compared to the ELISA results, with the test completed in under 15 min. Integrating graphene and nanorods eliminates the need for a blocker, simplifying sensor fabrication. This hybrid sensor holds robust potential to serve as a simple and efficient point-of-care platform.
Authors
- L. S. Gomes (ORCID: https://orcid.org/0000-0002-4031-558X)
- Caroline Junqueira (ORCID: https://orcid.org/0000-0003-0545-0986)
- Rafaela Boaventura
- Iara A. Borges (ORCID: https://orcid.org/0000-0003-1466-5575)
- Roberta Barcelos (ORCID: https://orcid.org/0000-0003-3283-6059)
- Karen dos Santos Gonçalves (ORCID: https://orcid.org/0000-0002-3075-6779)
- Rodrigo G. Lacerda (ORCID: https://orcid.org/0000-0003-4777-7370)
- Flávia Fonseca Bagno (ORCID: https://orcid.org/0000-0003-1578-6678)
- Flávio Guimarães da Fonseca (ORCID: https://orcid.org/0000-0002-1416-8694)
- C. L. Pereira
- Ary Corrêa (ORCID: https://orcid.org/0000-0002-5964-6266)
- Nathalie Pepe Medeiros de Rezende
- F. B. Oréfice
Institutions
- Universidade Federal de Minas Gerais (BR)
- Federal University of São João del-Rei (BR)
Publication Details
- Journal
- Biosensors
- Published
- 2025-03-04
- DOI
- https://doi.org/10.3390/bios15030164
- Citations
- 1
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 1.40