Since COVID-19 and flu have similar symptoms, they are difficult to distinguish without an accurate diagnosis. Therefore, it is critical to quickly and accurately determine which virus was infected and take appropriate treatments when a person has an infection. This study developed a dual-mode surface-enhanced Raman scattering (SERS)-based LFA strip that can diagnose SARS-CoV-2 and influenza A virus with high accuracy to reduce the false-negative problem of the commercial colorimetric LFA strip. Furthermore, using a single strip, it is feasible to detect SARS-CoV-2 and influenza A virus simultaneously. A clinical test was performed on 39 patient samples (28 SARS-CoV-2 positives, 6 influenza A virus positives, and 5 negatives), evaluating the clinical efficacy of the proposed dual-mode SERS-LFA strip. Our assay results for clinical samples show that the dual-mode LFA strip significantly reduced the false-negative rate for both SARS-CoV-2 and influenza A virus.
Bibliographical noteFunding Information:
This research was supported by the National Research Foundation of Korea (Grant numbers 2019R1A2C3004375, 2020R1A5A1018052, and 2021M3E5E3080379). This research was also supported by the Government-wide R&D Fund for the Research of Infectious Diseases in Korea (Grant number HG18C0062). KRIBB Research Initiative Program (Grant number 1711134081) also supported this research.
© 2022, The Author(s).
All Science Journal Classification (ASJC) codes
- Materials Science(all)