TwinDemic detection: A non-enzymatic signal amplification system for on-site detection of multiple respiratory viruses

Jaewoo Lim, Jin Woo Ahn, Inhee Maeng, Jina Lee, Ryunhyung Kim, Byenggeol Mun, Sunjoo Kim, Hyowon Jang, Taejoon Kang, Juyeon Jung, Seungjoo Haam, Eunjung Kim, Seung Jae Oh, Eun Kyung Lim

Research output: Contribution to journalArticlepeer-review

Abstract

The simultaneous occurrence of multiple respiratory viruses, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 [CoV]) and influenza A virus (IAV), presents a challenge for accurate diagnosis and treatment. To address this, we developed the TwinDemic Detection (TDD) system—an integrated point-of-care diagnostic platform that can simultaneously detect CoV and IAV using a multi-respiratory virus identification approach. The TDD system contains a transparent poly(methyl methacrylate) microfluidic chip with a hydrogel-based gene detection sensor and a handheld fluorescence reader. This system uses a fuel-stimulated DNA probe to detect viral RNA and amplify the fluorescence signal without the need for enzymatic or thermal controls. The system's performance was tested using 45 human nasopharyngeal samples; results revealed positive and negative predictive values of 93.3 % and 96.7 % for CoV, and 100 % and 96.7 % for IAV, respectively. This system enables the accurate and simultaneous detection of multiple respiratory viruses for public health surveillance and shows potential for use as a point-of-care molecular test to monitor a wider range of viruses in the future.

Original languageEnglish
Article number136933
JournalSensors and Actuators B: Chemical
Volume424
DOIs
Publication statusPublished - 2025 Feb 1

Bibliographical note

Publisher Copyright:
© 2024 The Authors

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering
  • Materials Chemistry

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