Evidence map›Paper›PMID 40947562›Full record

ArticleAnalytical chemistry2025

Early Detection of Multiple Sclerosis Using Spectroscopic Epstein-Barr Virus Biosensors Based on Infection Mechanism Mimicry.

Ülkü Anık, Nil Su Çaylayık

Abstract read
In one paragraph

Article in Analytical chemistry, 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 AnıkSensors, Biosensors and Nano-Diagnostic Systems Laboratory, Research Laboratory Center, Mugla Sitki Kocman University, Mugla 48000, Turkey.ORCID 0000-0002-3607-7208
Nil Su ÇaylayıkFaculty of Science, Chemistry Department, Mugla Sitki Kocman University, Mugla 48000, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between Epstein-Barr virus (EBV) and multiple sclerosis has made the asymptomatic detection of EBV very significant. In this study, a spectroscopic/colorimetric EBV biosensor was developed for practical and early screening by replicating the virus's natural infection mechanism. In order to accomplish this, gold nanoparticles (AuNPs) were functionalized with the B cell surface protein CD21, thereby mimicking the native host cell receptor. The interaction between CD21@AuNP and the EBV surface glycoprotein gp350 was then obtained spectroscopically through absorbance measurements, which was accompanied by a visible color change. Experimental parameters, including the incubation temperature and time, were systematically optimized to enhance the assay performance. Under optimized conditions, the biosensor exhibited a linear detection range of 10-100 ng/mL, with a limit of detection of 0.0279 ng/mL, a limit of quantification of 0.0848 ng/mL, and a relative standard deviation of 0.848%. Validation with 1:100 diluted saliva samples obtained from healthy volunteers further confirmed the sensor's high sensitivity and robustness, demonstrating its strong potential for translation into real-world diagnostic applications.

Indexed as

Biosensing TechniquesEpstein-Barr Virus InfectionsHerpesvirus 4, HumanMultiple SclerosisEarly DiagnosisGoldHumansLimit of DetectionMetal NanoparticlesSalivaGold

Identifiers

PMID40947562
PMCPMC12461678

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Registered trials

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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.