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Zika Virus NS1 Protein Detection Using Gold Nanoparticle-Assisted Dynamic Light Scattering
Dayenny L D'Amato1, Isabela A A Bessa1, Ana Beatriz C Souza1
1Department of Inorganic Chemistry, Universidade Federal Fluminense, Outeiro São João Batista s/n, Centro, Niterói, RJ, 24020-150, Brazil.
Chemistry, an Asian Journal
|September 2, 2024
Summary
A new biosensor detects Zika virus (ZIKV) non-structural protein 1 (NS1) using antibody-functionalized gold nanoparticles. This method offers sensitive and specific ZIKV detection, crucial for differentiating it from other arboviruses.
Area of Science:
- Nanotechnology
- Immunology
- Virology
Background:
- Zika virus (ZIKV) poses a global health risk, causing severe neurological and congenital issues.
- Accurate differentiation of ZIKV from other arboviruses like dengue virus (DENV) is vital for clinical management.
- The ZIKV non-structural protein 1 (NS1) is a key diagnostic marker.
Purpose of the Study:
- To develop and validate a novel biosensor for detecting ZIKV NS1 protein.
- To assess the biosensor's specificity against related arboviruses and other pathogens.
- To establish the sensitivity and stability of the proposed detection system.
Main Methods:
- Functionalization of gold nanoparticles (AuNPs) with monoclonal antibodies against ZIKV NS1.
- Utilizing dynamic light scattering (DLS) for detecting protein-antibody interactions and particle stability.
- Testing the biosensor's performance with varying concentrations of ZIKV NS1 and cross-reactivity assays.
Main Results:
- The ZINS1-mAb-AuNP biosensor demonstrated specific binding to ZIKV NS1.
- High colloidal stability was observed, with a hydrodynamic diameter (DH) of 140 nm.
- A sensitive limit of detection (LOD) of 0.96 μg/mL was achieved, with no cross-reactivity to DENV2 NS1 or SARS-CoV-2 spike proteins.
Conclusions:
- The ZINS1-mAb-AuNP biosensor is a promising tool for early and accurate ZIKV detection.
- This technology facilitates improved diagnostic capabilities for arboviral infections.
- The biosensor's specificity and sensitivity support its clinical application in differentiating ZIKV infections.
