Zika Virus NS1 Protein Detection Using Gold Nanoparticle‐Assisted Dynamic Light Scattering

The Zika virus (ZIKV) is a global health threat due to its rapid spread and severe health implications, including congenital abnormalities and neurological complications. Differentiating ZIKV from other arboviruses such as dengue virus (DENV) is crucial for effective diagnosis and treatment. This study presents the development of a biosensor for detecting the ZIKV non-structural protein 1 (NS1) using gold nanoparticles (AuNPs) functionalized with monoclonal antibodies employing dynamic light scattering (DLS). The biosensor named ZINS1-mAb-AuNP exhibited specific binding to the ZIKV NS1 protein, demonstrating high colloidal stability indicated by a hydrodynamic diameter (D<sub>H</sub>) of 140 nm, detectable via DLS. In the absence of the protein, the high ionic strength medium caused particle aggregation. This detection method showed good sensitivity and specificity, with a limit of detection (LOD) of 0.96 μg mL<sup>-1</sup>, and avoided cross-reactivity with DENV2 NS1 and SARS-CoV-2 spike proteins. The ZINS1-mAb-AuNP biosensor represents a promising tool for the early and accurate detection of ZIKV, facilitating diagnostic and treatment capabilities for arboviral infections.

Authors

Institutions

Publication Details

Journal
Chemistry - An Asian Journal
Published
2024-09-02
DOI
https://doi.org/10.1002/asia.202400826
Citations
12
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
6.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zika Virus NS1 Protein Detection Using Gold Nanoparticle‐Assisted Dynamic Light Scattering

Dayenny L. D’Amato, Carolina B. P. Ligiéro, Lucas Mendes-Monteiro, Célia M. Ronconi et al.
12 citations
Chemistry - An Asian Journal
Mosquito-borne diseases and control
6.52
article

Zika Virus NS1 Protein Detection Using Gold Nanoparticle‐Assisted Dynamic Light Scattering

Dayenny L. D’Amato, Carolina B. P. Ligiéro, Lucas Mendes-Monteiro, Célia M. Ronconi, Isabela A. A. Bessa, Ronaldo Mohana‐Borges, Diego Allonso, Ana Beatriz C. Souza
article en
12 citations

Abstract

The Zika virus (ZIKV) is a global health threat due to its rapid spread and severe health implications, including congenital abnormalities and neurological complications. Differentiating ZIKV from other arboviruses such as dengue virus (DENV) is crucial for effective diagnosis and treatment. This study presents the development of a biosensor for detecting the ZIKV non-structural protein 1 (NS1) using gold nanoparticles (AuNPs) functionalized with monoclonal antibodies employing dynamic light scattering (DLS). The biosensor named ZINS1-mAb-AuNP exhibited specific binding to the ZIKV NS1 protein, demonstrating high colloidal stability indicated by a hydrodynamic diameter (D<sub>H</sub>) of 140 nm, detectable via DLS. In the absence of the protein, the high ionic strength medium caused particle aggregation. This detection method showed good sensitivity and specificity, with a limit of detection (LOD) of 0.96 μg mL<sup>-1</sup>, and avoided cross-reactivity with DENV2 NS1 and SARS-CoV-2 spike proteins. The ZINS1-mAb-AuNP biosensor represents a promising tool for the early and accurate detection of ZIKV, facilitating diagnostic and treatment capabilities for arboviral infections.

Chemistry - An Asian JournalVol. 19(23)
Universidade Federal do Rio de Janeiro (BR), Universidade Federal Fluminense (BR), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (BR), Instituto de Biofísica Carlos Chagas Filho
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Good health and well-being
Openalex Percentile: Top 3%
Mosquito-borne diseases and control
6.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.