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Plasmon-Enhanced Fluorescence Paper Lateral Flow Strip for Point-of-Care Testing of SARS-CoV-2 Antigens
Yingjie Hang1, Anyang Wang1, Weirui Tan1
1Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.
New plasmon-enhanced fluorescence probes significantly improve SARS-CoV-2 detection on paper lateral flow strips (PLFSs). This advancement reduces false negatives, aiding early COVID-19 diagnosis and transmission prevention.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Infectious Disease Diagnostics
Background:
- Commercial SARS-CoV-2 antigen tests (colorimetric paper lateral flow immunoassays) suffer from high false negative rates due to insufficient limit of detection and clinical sensitivity.
- This limitation hinders timely medical intervention and disease control for COVID-19.
Purpose of the Study:
- To develop an improved paper lateral flow strip (PLFS) for SARS-CoV-2 antigen detection with enhanced sensitivity and reduced false negatives.
- To create a novel plasmon-enhanced fluorescence probe for increased detection accuracy.
Main Methods:
- Fabrication of a sandwich-structured nanoparticle probe (Ag-core@silica@dye@silica-shell) for plasmon-enhanced fluorescence.
- Optimization of the silica space layer thickness to leverage the Purcell effect for signal amplification.
- Evaluation of the developed PLFS for detecting SARS-CoV-2 nucleocapsid protein in buffer and clinical samples.
Main Results:
- The optimized plasmonic fluorescence PLFS achieved a limit of detection (LOD) of 65.0 pg/mL for SARS-CoV-2 nucleocapsid protein, a significant improvement over the commercial counterpart's 2.3 ng/mL LOD.
- In clinical sample testing, the new PLFS demonstrated 100% sensitivity and 94.2% specificity.
- Commercial colorimetric PLFS showed 75.7% sensitivity and 91.4% specificity in the same clinical samples.
Conclusions:
- The developed plasmon-enhanced fluorescence PLFS significantly reduces false negative results in SARS-CoV-2 detection.
- This technology holds substantial potential for improving early COVID-19 diagnosis, facilitating timely medical intervention, and preventing further transmission.
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