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DOI 10.1002/adma.202521241

Медицинская библиотека · Advanced materials (Deerfield Beach, Fla.) · 2026

Viral Infection-Inspired Autonomous Detection of Fusion-Competent Viruses for Screening and Environmental Surveillance.

Park Jae Chul, Song Yidam, Choi Hyun-Woo, Sung Jaeuk, Jin Harin, Gwak WonSeok, Yoo Kirim, Lee Soohwang, Park Jongeon, Kim Jeongmin, Jo Hye-Jun, Koo Jahyun, Jeong Youngdo, Lee Kwan Hyi, Kee Seung-Jung, Kim Hojun

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The persistent burden of respiratory viruses requires rapid, simple, and robust screening and environmental surveillance technologies that enable widespread and frequent testing. Importantly, these technologies should be based on infectivity-relevant signals, as RNA detection alone has limited correlation with transmission risk. Here, we present a membrane fusion-mediated platform that autonomously detects viruses by recapitulating the native viral entry mechanism. Fusogenic vesicles selectively fuse with fusion-competent viral particles, triggering encapsulated CRISPR-Cas13a components to generate fluorescent signals upon recognition of the released viral RNA. Through an autonomous workflow and accelerated signal generation within a confined vesicle, our platform achieves one-step detection of viruses within 2 min. The assay robustly detects three major respiratory viruses, with analytical sensitivities down to 5 TCID50/mL for RSV and 50 TCID50/mL for SARS-CoV-2 and IAV. Clinical validation with 100 nasopharyngeal samples achieved 91.7% sensitivity. Remarkably, the sprayable format enables large-area surveillance of surface contamination-like luminol revealing hidden bloodstains, it makes invisible viral threats visible. This approach establishes an intuitive real-time detection platform, extending beyond clinical specimens to encompass environmental threats.

Для цитирования: Park Jae Chul, Song Yidam, Choi Hyun-Woo, Sung Jaeuk, Jin Harin, Gwak WonSeok, Yoo Kirim, Lee Soohwang, Park Jongeon, Kim Jeongmin, Jo Hye-Jun, Koo Jahyun, Jeong Youngdo, Lee Kwan Hyi, Kee Seung-Jung, Kim Hojun. Viral Infection-Inspired Autonomous Detection of Fusion-Competent Viruses for Screening and Environmental Surveillance.. Advanced materials (Deerfield Beach, Fla.). 2026. DOI: 10.1002/adma.202521241.

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