Evidence map›Paper›PMID 42084404›Full record

ArticleAnalytical chemistry2026

Smartphone-Based Peptide Nucleic Acid (PNA) Probe-Assisted Potentiometric Biosensor for Point-of-Care Testing of SARS-CoV-2 Nucleic Acid.

Tugba Ozer, Sakda Jampasa, Atchara Lomae, Nipapan Ruecha, Osman Sagdic, Tirayut Vilaivan, Charles S Henry, Orawon Chailapakul

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tugba OzerDepartment of Bioengineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, Istanbul 34220, Türkiye.ORCID 0000-0002-5928-9940
Sakda JampasaFuturistic Science Research Center, School of Science, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Atchara LomaeCenter of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Songkhla 90110, Thailand.
Nipapan RuechaMetallurgy and Materials Science Research Institute, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-3330-9771
Osman SagdicDepartment of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, Istanbul 34220, Türkiye.
Tirayut VilaivanOrganic Synthesis Research Unit, Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Charles S HenryDepartment of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States.ORCID 0000-0002-8671-7728
Orawon ChailapakulElectrochemistry and Optical Spectroscopy Center of Excellence (EOSCE), Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we present a potentiometric biosensor based on amine magnetic beads functionalized with electrostatically neutral peptide nucleic acids (PNA) for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A screen-printed carbon electrode was modified with a plasticized polymeric membrane. A SARS-CoV-2 specific peptide nucleic acid probe was designed and synthesized. We exploited the advantage of neutral PNAs to remove the negatively charged DNA probes that cause fouling due to the attraction of positively charged biomolecules. After specific binding of peptide nucleic acid to its complementary DNA target, the peptides were incubated with cationic magnetic nanoparticles. The potentiometric responses were recorded after applying a magnetic field for the rapid and sensitive detection of SARS-CoV-2. Various parameters including polymeric membrane composition, probe concentration and incubation time, amount and incubation duration of magnetic nanoparticles, the order of probe-target magnetic bead incubation, and the force of magnetic field effect were investigated. Under optimized conditions, SARS-CoV-2 DNA was detected in the linear range of 1.0 × 10

Indexed as

Biosensing TechniquesCOVID-19DNA, ViralPeptide Nucleic AcidsPoint-of-Care TestingSARS-CoV-2SmartphoneElectrodesHumansLimit of DetectionPotentiometryDNA, ViralPeptide Nucleic Acids

Identifiers

PMID42084404
PMCPMC13191720

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.