Cellulose-Based Colorimetric Test Strips for SARS-CoV-2 Antibody Detection
The COVID-19 pandemic highlighted the need for rapid, cost-effective tools to monitor transmission and immune response. We developed two novel paper-based colorimetric biosensors using glutaraldehyde as a protein dye-its first use in this context. Glutaraldehyde reacts with amino groups to generate a brown color, enabling detection of SARS-CoV-2 antibodies. Wathman filter paper was functionalized with (3-aminopropyl)triethoxysilane (APTES) to immobilize virus-like particles (VLPs) and nucleocapsid protein (N-protein) as biorecognition elements. Upon incubation with antibody-containing samples, glutaraldehyde enabled colorimetric detection using RGB analysis in ImageJ software. Both sensors showed a linear correlation between antibody concentration and RGB values in buffer and serum. The VLP sensor responded linearly within the range of 1.0-20 µg/mL (green coordinate) in 500-fold diluted serum and the N-protein sensor from 1.0-40 µg/mL (blue coordinate) in 250-fold diluted serum. Both sensors demonstrated good selectivity, with glucose causing up to 18% interference. These biosensors represent a paradigm shift, as they provide a sensitive, user-friendly, and cost-effective option for semi-quantitative serological analysis. Furthermore, their versatility goes beyond the detection of SARS-CoV-2 antibodies and suggests broader applicability for various molecular targets.
Authors
- Maria Teresa Cruz (ORCID: https://orcid.org/0000-0001-9846-6754)
- Felismina T.C. Moreira (ORCID: https://orcid.org/0000-0003-4237-8952)
- Anália do Carmo (ORCID: https://orcid.org/0000-0002-7704-4736)
- Mariana P. Sousa (ORCID: https://orcid.org/0000-0001-5232-2384)
- Bárbara Correia
- Ana Miguel Matos (ORCID: https://orcid.org/0000-0001-5764-0023)
- Ana Cláudia Pereira (ORCID: https://orcid.org/0000-0003-1727-8255)
Institutions
- Fernando Pessoa University (PT)
- Instituto Português de Oncologia Francisco Gentil (PT)
- IPO Porto (PT)
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT)
- University of Coimbra (PT)
- Polytechnic Institute of Porto (PT)
- University of Minho (PT)
Publication Details
- Journal
- Biosensors
- Published
- 2025-06-17
- DOI
- https://doi.org/10.3390/bios15060390
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundação para a Ciência e a Tecnologia
- European Regional Development Fund