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Simple and Ultrasensitive Nanozyme-Linked Immunosorbent Assay for SARS-CoV-2 Detection on a Syringe-Driven Filtration
Ziyi Wang1, Hong Chen1, Xiaodan Cheng1
1Bioinformatics Center of AMMS, Beijing 100850, P. R. China.
This study presents a rapid nanozyme immunoassay for detecting SARS-CoV-2 nucleocapsid protein (NP) using a filtration device. The method offers ultrasensitive, quantitative detection for point-of-care applications.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Infectious Disease Diagnostics
Background:
- Accurate and rapid detection of SARS-CoV-2 is crucial for controlling viral spread.
- Existing diagnostic methods may require complex procedures or specialized equipment.
- Development of point-of-care diagnostics is essential for widespread accessibility.
Purpose of the Study:
- To develop a simple, ultrasensitive, and rapid nanozyme-based immunoassay for SARS-CoV-2 nucleocapsid protein (NP) detection.
- To integrate the assay onto a filtration device for point-of-care applications.
- To achieve quantitative detection of SARS-CoV-2 NP within 80 minutes.
Main Methods:
- Synthesis of gold core porous platinum shell nanoparticles (Au@Pt NPs) with high catalytic activity.
- Development of a filtration device utilizing size differences for separation.
- Utilizing a colorimetric reaction with 3,3',5,5'-tetramethylbenzidine (TMB) for signal generation.
- Employing a plastic syringe for a rapid washing procedure.
Main Results:
- Quantitative detection of SARS-CoV-2 NP achieved within 80 minutes.
- Limit of detection (LOD) for SARS-CoV-2 antigen was 0.01 ng/mL in buffer.
- Assay demonstrated high precision with coefficients of variation below 2.34% for various concentrations.
- Verified specificity against other respiratory viruses.
Conclusions:
- The proposed nanozyme immunoassay on a filtration device offers a simple, rapid, and ultrasensitive method for SARS-CoV-2 NP detection.
- This technology holds promise for point-of-care diagnostics and advancing virus immunodetection.
- The system's efficiency and effectiveness can significantly contribute to public health surveillance and management.
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