Evidence map›Paper›PMID 40750629›Full record

ArticleScientific reports2025

Development of Epstein Barr virus biosensor by mimicking its infection mechanism for early detection of multiple sclerosis.

Ülkü Anik, Nil Su Çaylayik

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
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.

Ülkü AnikChemistry Department, Faculty of Science, Mugla Sitki Kocman University, 48000, Mugla, Turkey. ulkuanik@yahoo.com.ORCID http://orcid.org/0000-0002-3607-7208
Nil Su ÇaylayikChemistry Department, Faculty of Science, Mugla Sitki Kocman University, 48000, Mugla, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the established link between Epstein-Barr virus (EBV) and multiple sclerosis, the early and asymptomatic detection of EBV has become increasingly important. In this study, we developed an impedimetric EBV biosensor designed for practical and early screening, based on mimicking the virus's natural infection mechanism. To achieve this, the B cell surface protein CD21-serving as the host receptor-was immobilized onto a carbon screen-printed electrode. The interaction between CD21 and the EBV surface glycoprotein gp350 was monitored using electrochemical impedance spectroscopy. Following the optimization of experimental parameters, the biosensor's analytical performance was evaluated. It exhibited a linear detection range from 5 to 100 ng/mL, with a limit of detection of 0.0074 ng/mL, a limit of quantification of 0.022 ng/mL, and a relative standard deviation of 1.34%. The optimized biosensor was then tested using 1:100 diluted saliva samples collected from healthy individuals, yielding highly promising results that support its potential for real-world applications.

Indexed as

Biosensing TechniquesEpstein-Barr Virus InfectionsHerpesvirus 4, HumanMultiple SclerosisDielectric SpectroscopyEarly DiagnosisHumansLimit of DetectionSaliva

Identifiers

PMID40750629
PMCPMC12317033

What OpenQuestion holds

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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.