Evidence map›Paper›PMID 41228803›Full record

ArticleSensors (Basel, Switzerland)2025

Smartphone-Integrated User-Friendly Electrochemical Biosensor Based on Optimized Aptamer Specific to SARS-CoV-2 S1 Protein.

Arzum Erdem, Huseyin Senturk, Esma Yildiz

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

No citing paper in PubMed yet.

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

3 authors.

Arzum ErdemDepartment of Analytical Chemistry, Faculty of Pharmacy, Ege University, 35040 İzmir, Türkiye.ORCID 0000-0002-4375-8386
Huseyin SenturkDepartment of Analytical Chemistry, Faculty of Pharmacy, Ege University, 35040 İzmir, Türkiye.ORCID 0000-0002-3268-8319
Esma YildizDepartment of Analytical Chemistry, Faculty of Pharmacy, Ege University, 35040 İzmir, Türkiye.

Funding

The Scientific and Technological Research Council of Türkiye (TÜBİTAK) under the 2247‑A Na-tional Outstanding Researchers Program TÜBİTAK Project No. 121C270
6 · The paper itself

Abstract

COVID-19, caused by SARS-CoV-2, has created unprecedented global health challenges, necessitating rapid and reliable diagnostic strategies. The spike (S) protein, particularly its S1 subunit, plays a critical role in viral entry, making it a prime biomarker for early detection. In this study, we present a disposable, low-cost, and portable electrochemical biosensor employing specifically optimized aptamers (Optimers) for SARS-CoV-2 S1 recognition. The sensing approach is based on aptamer-protein complex formation in solution, followed by immobilization onto pencil graphite electrodes (PGEs). The key parameters, including aptamer concentration, interaction time, redox probe concentration, and immobilization time, were systematically optimized by performing electrochemical measurement in redox probe solution containing ferri/ferrocyanide using differential pulse voltammetry (DPV) technique.Under optimized conditions, the biosensor achieved an ultralow detection limit of 18.80 ag/mL with a wide linear range (10

Indexed as

Aptamers, NucleotideBiosensing TechniquesCOVID-19Electrochemical TechniquesSARS-CoV-2SmartphoneSpike Glycoprotein, CoronavirusElectrodesGraphiteHumansLimit of DetectionAptamers, NucleotideGraphiteSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19differential pulse voltammetryelectrochemical biosensorinfectious diseaseoptimized-aptamerSARS-CoV-2 S1 proteinsmartphone-connected potentiostat

Identifiers

PMID41228803
PMCPMC12610881

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.