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dc.contributor.authorPark, Jae Chul-
dc.contributor.authorSong, Yidam-
dc.contributor.authorChoi, Hyun-Woo-
dc.contributor.authorSung, Jaeuk-
dc.contributor.authorJin, Harin-
dc.contributor.authorGwak, WonSeok-
dc.contributor.authorYoo, Kirim-
dc.contributor.authorLee, Soohwang-
dc.contributor.authorPark, Jongeon-
dc.contributor.authorKim, Jeongmin-
dc.contributor.authorJo, Hye-Jun-
dc.contributor.authorKoo, Jahyun-
dc.contributor.authorJeong, Youngdo-
dc.contributor.authorLee, Kwan Hyi-
dc.contributor.authorKee, Seung-Jung-
dc.contributor.authorKim, Hojun-
dc.date.accessioned2026-04-16T07:00:09Z-
dc.date.available2026-04-16T07:00:09Z-
dc.date.created2026-04-14-
dc.date.issued2026-04-
dc.identifier.issn0935-9648-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/154567-
dc.description.abstractThe 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.-
dc.languageEnglish-
dc.publisherWILEY-VCH Verlag GmbH & Co. KGaA, Weinheim-
dc.titleViral Infection-Inspired Autonomous Detection of Fusion-Competent Viruses for Screening and Environmental Surveillance-
dc.typeArticle-
dc.identifier.doi10.1002/adma.202521241-
dc.description.journalClass1-
dc.identifier.bibliographicCitationAdvanced Materials-
dc.citation.titleAdvanced Materials-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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KIST Article > 2026
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