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

Authors
 Jaewoo Lim  ;  Jin Woo Ahn  ;  Inhee Maeng  ;  Jina Lee  ;  Ryunhyung Kim  ;  Byeonggeol Mun  ;  Sunjoo Kim  ;  Hyowon Jang  ;  Taejoon Kang  ;  Juyeon Jung  ;  Seungjoo Haam  ;  Eunjung Kim  ;  Seung Jae Oh  ;  Eun-Kyung Lim 
Citation
 SENSORS AND ACTUATORS B-CHEMICAL, Vol.424 : 136933, 2025-02 
Journal Title
SENSORS AND ACTUATORS B-CHEMICAL
ISSN
 0925-4005 
Issue Date
2025-02
Keywords
Microfluidic chip ; Point-of-care testing ; severe acute respiratory syndrome coronavirus 2 ; Influenza A ; Non-enzymatic signal amplification
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.
Full Text
https://www.sciencedirect.com/science/article/pii/S0925400524016630
DOI
10.1016/j.snb.2024.136933
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers
Yonsei Authors
Maeng, In hee(맹인희)
Oh, Seung Jae(오승재)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/201522
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