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Early Detection of Multiple Sclerosis Using Spectroscopic Epstein-Barr Virus Biosensors Based on Infection Mechanism
Ülkü Anık1,2, Nil Su Çaylayık2
1Sensors, Biosensors and Nano-Diagnostic Systems Laboratory, Research Laboratory Center, Mugla Sitki Kocman University, Mugla 48000, Turkey.
Analytical Chemistry
|September 15, 2025
Summary
A new biosensor detects Epstein-Barr virus (EBV) by mimicking its infection method. This tool offers sensitive and early asymptomatic EBV detection, crucial for understanding its link to diseases like multiple sclerosis.
Area of Science:
- Biotechnology
- Nanotechnology
- Virology
Background:
- The link between Epstein-Barr virus (EBV) and multiple sclerosis (MS) highlights the need for early EBV detection.
- Asymptomatic EBV detection is significant for understanding disease pathogenesis and progression.
Purpose of the Study:
- To develop a spectroscopic/colorimetric biosensor for practical and early screening of Epstein-Barr virus (EBV).
- To replicate the virus's natural infection mechanism for enhanced detection sensitivity.
Main Methods:
- Functionalization of gold nanoparticles (AuNPs) with the B cell surface protein CD21 to mimic host cell receptors.
- Spectroscopic analysis of the interaction between CD21-functionalized AuNPs (CD21@AuNP) and EBV surface glycoprotein gp350 via absorbance measurements.
- Optimization of experimental parameters, including incubation temperature and time, to improve assay performance.
Main Results:
- The biosensor demonstrated a visible color change upon interaction with EBV.
- Optimized conditions yielded a linear detection range of 10-100 ng/mL.
- Achieved a low limit of detection (LOD) of 0.0279 ng/mL and limit of quantification (LOQ) of 0.0848 ng/mL, with a relative standard deviation of 0.848%.
Conclusions:
- The developed EBV biosensor shows high sensitivity and robustness, validated with human saliva samples.
- The sensor's ability to mimic natural infection mechanisms offers potential for real-world diagnostic applications.
- This technology holds promise for early and practical screening of EBV infections.
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