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

J Jae Chul Park Y Yidam Song (Center for Advanced Biomolecular Recognition Korea Institute of Science and Technology (KIST) Seoul Republic of Korea) H Hyun‐Woo Choi (Department of Laboratory Medicine Chonnam National University Medical School and Hospital Gwangju Republic of Korea) J Jaeuk Sung (School of Advanced Materials and Engineering Sungkyunkwan University (SKKU) Suwon Republic of Korea) H Harin Jin W WonSeok Gwak (Division of Clinical Vaccine Research Center for Vaccine Research National Institute of Infectious Diseases National Institute of Health Korea Disease Control and Prevention Agency (KDCA) Cheongju Republic of Korea) K Kirim Yoo (Division of Clinical Vaccine Research Center for Vaccine Research National Institute of Infectious Diseases National Institute of Health Korea Disease Control and Prevention Agency (KDCA) Cheongju Republic of Korea) S Soohwang Lee (Center for Advanced Biomolecular Recognition Korea Institute of Science and Technology (KIST) Seoul Republic of Korea) J Jongeon Park J Jeongmin Kim H Hye‐Jun Jo (Division of Emerging Infectious Diseases Korea Disease Control and Prevention Agency (KDCA) Cheongju Republic of Korea) J Jahyun Koo Y Youngdo Jeong K Kwan Hyi Lee S Seung‐Jung Kee (Department of Laboratory Medicine Chonnam National University Medical School and Hospital Gwangju Republic of Korea) H Hojun Kim

Abstract

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 TCID 50 /mL for RSV and 50 TCID 50 /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.

Article Details

Volume / Issue Vol. 38, Issue 40
Published July 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (16)

J

Jae Chul Park

Y

Yidam Song

Center for Advanced Biomolecular Recognition Korea Institute of Science and Technology (KIST) Seoul Republic of Korea

H

Hyun‐Woo Choi

Department of Laboratory Medicine Chonnam National University Medical School and Hospital Gwangju Republic of Korea

J

Jaeuk Sung

School of Advanced Materials and Engineering Sungkyunkwan University (SKKU) Suwon Republic of Korea

H

Harin Jin

W

WonSeok Gwak

Division of Clinical Vaccine Research Center for Vaccine Research National Institute of Infectious Diseases National Institute of Health Korea Disease Control and Prevention Agency (KDCA) Cheongju Republic of Korea

K

Kirim Yoo

Division of Clinical Vaccine Research Center for Vaccine Research National Institute of Infectious Diseases National Institute of Health Korea Disease Control and Prevention Agency (KDCA) Cheongju Republic of Korea

S

Soohwang Lee

Center for Advanced Biomolecular Recognition Korea Institute of Science and Technology (KIST) Seoul Republic of Korea

J

Jongeon Park

J

Jeongmin Kim

H

Hye‐Jun Jo

Division of Emerging Infectious Diseases Korea Disease Control and Prevention Agency (KDCA) Cheongju Republic of Korea

J

Jahyun Koo

Y

Youngdo Jeong

K

Kwan Hyi Lee

S

Seung‐Jung Kee

Department of Laboratory Medicine Chonnam National University Medical School and Hospital Gwangju Republic of Korea

H

Hojun Kim