3D hierarchical nanotopography for on-site rapid capture and sensitive detection of infectious microbial pathogens

Cited 1 time in scopus
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Title
3D hierarchical nanotopography for on-site rapid capture and sensitive detection of infectious microbial pathogens
Author(s)
K H Kim; Ahreum Hwang; Y Song; Wang Sik Lee; Jeong Moon; Jinyoung Jeong; N H Bae; Y M Jung; J Jung; S Ryu; S J Lee; B G Choi; Taejoon Kang; K G Lee
Bibliographic Citation
ACS Nano, vol. 15, no. 3, pp. 4777-4788
Publication Year
2021
Abstract
Effective capture and rapid detection of pathogenic bacteria causing pandemic/epidemic diseases is an important task for global surveillance and prevention of human health threats. Here, we present an advanced approach for the on-site capture and detection of pathogenic bacteria through the combination of hierarchical nanostructures and a nuclease-responsive DNA probe. The specially designed hierarchical nanocilia and network structures on the pillar arrays, termed 3D bacterial capturing nanotopographical trap, exhibit excellent mechanical reliability and rapid (<30 s) and irreversible bacterial capturability. Moreover, the nuclease-responsive DNA probe enables the highly sensitive and extremely fast (<1 min) detection of bacteria. The bacterial capturing nanotopographical trap (b-CNT) facilitates the on-site capture and detection of notorious infectious pathogens (Escherichia coli O157:H7, Salmonella enteritidis, Staphylococcus aureus, and Bacillus cereus) from kitchen tools and food samples. Accordingly, the usefulness of the b-CNT is confirmed as a simple, fast, sensitive, portable, and robust on-site capture and detection tool for point-of-care testing.
Keyword
NanotophographyPolyanilineNanopillarPathogenOn-site
ISSN
1936-0851
Publisher
Amer Chem Soc
DOI
http://dx.doi.org/10.1021/acsnano.0c09411
Type
Article
Appears in Collections:
Division of Research on National Challenges > Environmental diseases research center > 1. Journal Articles
Division of Biomaterials Research > Bionanotechnology Research Center > 1. Journal Articles
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