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Smartphone-Based Peptide Nucleic Acid (PNA) Probe-Assisted Potentiometric Biosensor for Point-of-Care Testing of
Tugba Ozer1,2, Sakda Jampasa3, Atchara Lomae4,5
1Department of Bioengineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, Istanbul 34220, Türkiye.
Analytical Chemistry
|May 5, 2026
Summary
A new potentiometric biosensor uses neutral peptide nucleic acids (PNA) to detect SARS-CoV-2. This antifouling approach enables sensitive COVID-19 screening in saliva with smartphone integration.
Area of Science:
- Biomedical Engineering
- Biosensor Technology
- Molecular Diagnostics
Background:
- Traditional DNA probes in biosensors can cause fouling due to electrostatic interactions with biomolecules.
- Developing sensitive and rapid detection methods for SARS-CoV-2 is crucial for pandemic control.
Purpose of the Study:
- To develop a novel potentiometric biosensor for sensitive and rapid detection of SARS-CoV-2.
- To utilize electrostatically neutral peptide nucleic acids (PNA) as an antifouling strategy.
- To integrate the biosensor with a smartphone for portable diagnostics.
Main Methods:
- Fabrication of a screen-printed carbon electrode modified with a plasticized polymeric membrane.
- Functionalization of magnetic beads with neutral PNA probes specific to SARS-CoV-2.
- Detection via potentiometric response after magnetic nanoparticle incubation and magnetic field application.
- Optimization of various assay parameters and validation in human saliva samples.
Main Results:
- The biosensor achieved a linear detection range of 1.0 × 10⁻¹⁵–1.0 × 10⁻¹¹ M for SARS-CoV-2 DNA.
- A low limit of detection (LOD) of 4.9 × 10⁻¹⁶ M was obtained.
- High recovery rates (96–98%) were observed in human saliva samples.
- Successful proof-of-concept demonstration using a smartphone-integrated analyzer.
Conclusions:
- The developed PNA-based biosensor offers a promising antifouling strategy for sensitive SARS-CoV-2 detection.
- The biosensor demonstrates potential for rapid and portable COVID-19 screening in biological samples.
- This approach provides a new concept for developing next-generation biosensors.

