Evidence map›Paper›PMID 41947506›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

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

Jae Chul Park, Yidam Song, Hyun-Woo Choi, Jaeuk Sung, Harin Jin, WonSeok Gwak, Kirim Yoo, Soohwang Lee, Jongeon Park, Jeongmin Kim and 6 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jae Chul ParkCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Yidam SongCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Hyun-Woo ChoiDepartment of Laboratory Medicine, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea.
Jaeuk SungSchool of Advanced Materials and Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Harin JinCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
WonSeok GwakDivision 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.
Kirim YooDivision 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.
Soohwang LeeCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Jongeon ParkCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Jeongmin KimDivision of Emerging Infectious Diseases, Korea Disease Control and Prevention Agency (KDCA), Cheongju, Republic of Korea.
Hye-Jun JoDivision of Emerging Infectious Diseases, Korea Disease Control and Prevention Agency (KDCA), Cheongju, Republic of Korea.
Jahyun KooSchool of Biomedical Engineering, Korea University, Seoul, Republic of Korea.
Youngdo JeongCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Kwan Hyi LeeCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Seung-Jung KeeDepartment of Laboratory Medicine, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea.
Hojun KimCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7974-1044

Funding

Korea Institute of Planning and Evaluation for Technology in Food, Agricultural and Forestry (IPET) through High-Risk Animal Infectious Disease Control Technlogy Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) RS-2024-00396818Korea Institute of Science and Technology (KIST) Institutional 2E33111The Korea Disease Control and Prevention Agency (KDCA) 6634-332The Materials & Components Technology Development Program funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea) RS-2025-25409767The National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (MSIT) 2021R1A2C2013961The National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (MSIT) 2022R1C1C2007002The National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (MSIT) RS-2023-00209955The National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (MSIT) RS-2024-00345402
6 · The paper itself

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

Indexed as

Environmental MonitoringCRISPR-Cas SystemsHumansInfluenza A virusLiposomesRespiratory Syncytial VirusesRNA, ViralSARS-CoV-2Virus InternalizationLiposomesRNA, Viralautonomous virus detectionenvironmental surveillancefusogenic liposomeinfectious disease screeningmembrane fusionrespiratory virus

Identifiers

PMID41947506
PMCPMC13378266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.