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Updated: Jan 2, 2026

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors

Published on: September 13, 2018

Nanostructured impedimetric lectin-based biosensor for arboviruses detection.

Estefani P Simão¹, Dammyres B S Silva², Marli T Cordeiro³

¹Programa de Pós-Graduação em Ciências Biológicas, Universidade Federal de Pernambuco, 50670-901, Recife, PE, Brazil.

|December 11, 2019

Summary

A novel biosensor using cysteine, zinc oxide nanoparticles, and Concanavalin A lectin can differentiate between Dengue, Zika, Chikungunya, and Yellow fever arboviruses. This diagnostic tool shows promise for rapid arbovirus detection and management.

Keywords:

Arboviruses Biosensor Concanavalin A Impedance spectroscopy Nanoparticles

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Last Updated: Jan 2, 2026

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors

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Published on: September 13, 2018

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Area of Science:

Biomedical Engineering
Nanotechnology
Infectious Diseases

Background:

Arboviruses pose a significant global health threat due to recurrent epidemics.
Nonspecific clinical manifestations of arboviruses necessitate the development of novel diagnostic devices.
Current diagnostic methods may lack the specificity and speed required for effective arbovirus outbreak management.

Purpose of the Study:

To develop and characterize a novel biosensor for differentiating between Dengue type 2 (DENV2), Zika (ZIKV), Chikungunya (CHIKV), and Yellow fever (YFV) arboviruses.
To evaluate the biosensor's performance in terms of reproducibility, sensitivity, and specificity.
To investigate the recognition mechanism of the biosensor based on lectin-glycoprotein interactions.

Main Methods:

Fabrication of a biosensor utilizing cysteine (Cys), zinc oxide nanoparticles (ZnONp), and Concanavalin A (ConA) lectin.
Electrochemical characterization using Cyclic Voltammetry (CV) and Impedance Spectroscopy (EIS).
Atomic Force Microscopy (AFM) for surface morphology analysis during biorecognition.

Main Results:

The Cys-ZnONp-ConA system effectively blocked the electrochemical signal upon interaction with viral glycoproteins.
The biosensor demonstrated a linear response to varying concentrations of DENV2, ZIKV, CHIKV, and YFV.
Impedimetric responses correlated with the structural similarity of viral glycoproteins, with DENV2 > ZIKV > CHIKV > YFV.

Conclusions:

Concanavalin A lectin can recognize the structural glycoproteins of DENV2, ZIKV, CHIKV, and YFV.
The proposed biosensor system shows potential for the development of rapid and specific diagnostic tools for arbovirus infections.
The study highlights the importance of homologous structural regions in ConA-arbovirus recognition for differential diagnosis.