Dual-mode SERS-based lateral flow assay strips for simultaneous diagnosis of SARS-CoV-2 and influenza a virus

Mengdan Lu, Younju Joung, Chang Su Jeon, Sunjoo Kim, Dongeun Yong, Hyowon Jang, Sung Hyun Pyun, Taejoon Kang, Jaebum Choo

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number39
JournalNano Convergence
Volume9
Issue number1
DOIs
Publication statusPublished - 2022 Dec

Bibliographical note

Funding 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.

Publisher Copyright:
© 2022, The Author(s).

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Engineering(all)

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