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Updated: Jul 2, 2026

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High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
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A Colorimetric Test to Differentiate Patients Infected with Influenza from COVID-19.
Hannah N Kozlowski1,2,3, Mohamed A Abdou Mohamed1,2,4, Jisung Kim1,2,3
1Institute of Biomedical Engineering University of Toronto Toronto Ontario M5S 3G9 Canada.
Small Structures
|July 7, 2021
Summary
A new molecular test accurately distinguishes SARS-CoV-2 from influenza A using a simple color-based assay. This nucleic acid enzyme-gold nanoparticle (GNP) test aids clinicians in selecting appropriate treatments for respiratory infections.
Area of Science:
- Molecular biology
- Virology
- Diagnostic technology
Background:
- Distinguishing between SARS-CoV-2 and influenza A is critical for effective patient treatment due to differing therapeutic strategies.
- Similar clinical presentations of SARS-CoV-2 and influenza necessitate reliable diagnostic methods.
Purpose of the Study:
- To develop and evaluate a novel color-based molecular assay for differentiating SARS-CoV-2 from influenza A.
- To provide a simple, minimal-equipment diagnostic tool for rapid clinical decision-making.
Main Methods:
- Development of a nucleic acid enzyme-gold nanoparticle (GNP) assay utilizing MNAzyme and GNP probes targeting conserved viral genomic regions.
- Design of probes robust to viral mutations for reliable detection.
- Testing the assay's performance on 79 patient samples to differentiate SARS-CoV-2 and influenza A.
Main Results:
- The assay demonstrated high clinical sensitivity and specificity for both viruses.
- For SARS-CoV-2 detection: 90% sensitivity and 100% specificity.
- For influenza A detection: 93% sensitivity and 100% specificity.
Conclusions:
- The MNAzyme-GNP assay exhibits high clinical performance, enabling accurate differentiation between SARS-CoV-2 and influenza A.
- This diagnostic tool can assist clinicians in choosing appropriate and timely treatments for patients with respiratory infections.

