Evidence map›Paper›PMID 41775871›Full record

ArticleMikrochimica acta2026

A smartphone-integrated aptasensor for SARS-CoV-2 S1 protein using multi-walled carbon nanotube-ionic liquid modified electrodes.

Huseyin Senturk, Arzum Erdem

Abstract read
In one paragraph

Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Huseyin SenturkDepartment of Analytical Chemistry, Faculty of Pharmacy, Ege University, 35040, Izmir, Türkiye.ORCID 0000-0002-3268-8319
Arzum ErdemDepartment of Analytical Chemistry, Faculty of Pharmacy, Ege University, 35040, Izmir, Türkiye. arzum.erdem@ege.edu.tr.ORCID 0000-0002-4375-8386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An aptamer-based electrochemical biosensor was developed for the highly sensitive detection of SARS-CoV-2 S1 protein using electrodes modified with a multi-walled carbon nanotube–ionic liquid (MWCNT–IL) composite. Comprehensive electrochemical and microscopic characterizations of the MWCNT–IL material were conducted, followed by the optimization of experimental parameters including ionic liquid concentration and surface modification time. Critical parameters for aptasensor construction, aptamer concentration, immobilization time, and aptamer-protein interaction time, were also optimized. Under optimal conditions, the biosensor exhibited a wide linear response from 1 fg/mL to 1 ng/mL in buffer, with a remarkably low limit of detection (LOD) of 0.11 fg/mL. Selectivity evaluations against hemagglutinin antigen (HA) and MERS-CoV-S1 (MERS) protein confirmed the sensor’s high specificity for SARS-CoV-2 S1 protein. The sensor’s applicability in artificial saliva was also successfully demonstrated, yielding accurate quantification and low detection limits (LOD: 0.16 fg/mL). Recovery studies in artificial saliva demonstrated satisfactory accuracy, with recoveries ranging from 108% to 120% and high reproducibility. Notably, the aptasensor maintained strong selectivity even in the presence of matrix interferents. Furthermore, the potential for point-of-care use was assessed via a smartphone-connected portable potentiostat. This handheld system enabled a linear detection range of 1 fg/mL to 1 ng/mL with a LOD of 0.83 fg/mL. Collectively, these results highlight the MWCNT–IL-based aptasensor as a robust, low-cost, and portable platform for rapid COVID-19 diagnostics, offering considerable promise for deployment in point-of-care and resource-constrained environments.

Indexed as

Aptamers, NucleotideBiosensing TechniquesIonic LiquidsNanotubes, CarbonSARS-CoV-2SmartphoneSpike Glycoprotein, CoronavirusCOVID-19Electrochemical TechniquesElectrodesHumansLimit of DetectionAptamers, NucleotideIonic LiquidsNanotubes, CarbonSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2AptasensorDifferential pulse voltammetryIonic liquidMulti-walled carbon nanotubeSARS-CoV-2 S1 proteinSmartphone-integrated aptasensor

Identifiers

PMID41775871
PMCPMC12956996

What OpenQuestion holds

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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.