Reusable Biosensor for Easy RNA Detection from Unfiltered Saliva
Biosensors are transforming point-of-care diagnostics by simplifying the detection process and enabling rapid, accurate testing. This study introduces a novel, reusable biosensor designed for direct viral RNA detection from unfiltered saliva, targeting SARS-CoV-2. Unlike conventional methods requiring filtration, our biosensor leverages a unique electrode design that prevents interference from saliva debris, allowing precise measurements. The biosensor is based on electrochemical principles, employing oligonucleotide probes immobilized on a hydrophobic-coated electrode, which prevents air bubbles and salt crystal formation. During validation, the biosensor demonstrated a sensitivity and specificity of 100%, accurately identifying SARS-CoV-2 in saliva samples without false positives or negatives. Cross-validation with RT-qPCR, the gold standard for COVID-19 diagnostics, confirmed the reliability of our device. The biosensor's performance was tested on 60 participants, yielding 12 true positive results and 48 true negatives, aligning perfectly with RT-qPCR outcomes. This reusable, easy-to-use biosensor offers significant potential for point-of-care applications in various healthcare settings, providing a fast, efficient, and cost-effective method for detecting viral infections such as COVID-19. Its robust design, minimal sample preparation requirements, and multiple-use capability mark a significant advancement in biosensing technology.
Authors
- Agata Terebieniec (ORCID: https://orcid.org/0000-0002-8197-2885)
- Jacek Łubiński (ORCID: https://orcid.org/0000-0003-0852-8400)
- Dorota Kostrzewa‐Nowak (ORCID: https://orcid.org/0000-0001-7025-3087)
- Martyna Mroczyńska (ORCID: https://orcid.org/0000-0002-6476-7580)
- Paweł Wityk (ORCID: https://orcid.org/0000-0001-8612-727X)
- Robert Nowak (ORCID: https://orcid.org/0000-0003-3037-644X)
- Tomasz Wityk
Institutions
- University of Szczecin (PL)
- University of Illinois Urbana-Champaign (US)
- Gdańsk University of Technology (PL)
- Utrecht University (NL)
- Westerdijk Fungal Biodiversity Institute (NL)
- Gdańsk Medical University (PL)
- Pomeranian Medical University (PL)
Publication Details
- Journal
- Sensors
- Published
- 2025-01-09
- DOI
- https://doi.org/10.3390/s25020360
- Citations
- 7
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 5.64