Viral Infection-Inspired Autonomous Detection of Fusion-Competent Viruses for Screening and Environmental Surveillance
- Authors
- 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
- Issue Date
- 2026-04
- Publisher
- WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
- Citation
- Advanced Materials
- Abstract
- 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.
- ISSN
- 0935-9648
- URI
- https://pubs.kist.re.kr/handle/201004/154567
- DOI
- 10.1002/adma.202521241
- Appears in Collections:
- KIST Article > 2026
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