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Rational Design of 3D Polymer Corona Interfaces of Single-Walled Carbon Nanotubes for Receptor-Free Virus Recognition

Authors
Lee, YullimKim, WoojinCho, YoungwookYoon, MinyeongLee, SeungjuLee, JungwooOh, SangyeonSong, YeongjunLee, Brian J.Kim, YongJooCho, Soo-Yeon
Issue Date
21-May-2024
Publisher
American Chemical Society
Keywords
corona phase; molecular recognition; nanosensor; NIR; PEG-lipid; SWCNT
Citation
ACS Nano, v.18, no.20, pp 13214 - 13225
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
ACS Nano
Volume
18
Number
20
Start Page
13214
End Page
13225
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/198784
DOI
10.1021/acsnano.4c02130
ISSN
1936-0851
1936-086X
Abstract
Facing the escalating threat of viruses worldwide the development of efficient sensor elements for rapid virus detection has never been more critical. Traditional point-of-care (POC) sensors struggle due to their reliance on fragile biological receptors and limited adaptability to viral strains. In this study we introduce a nanosensor design for receptor-free virus recognitions using near-infrared (NIR) fluorescent single-walled carbon nanotubes (SWCNTs) functionalized with a poly(ethylene glycol) (PEG)-phospholipid (PEG-lipid) array. Three-dimensional (3D) corona interfaces of the nanosensor array enable selective and sensitive detection of diverse viruses including Ebola Lassa H3N2 H1N1 Middle East respiratory syndrome (MERS) severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and SARS-CoV-2 even without any biological receptors. The PEG-lipid components designed considering chain length fatty acid saturation molecular weight and end-group moieties allow for precise quantification of viral recognition abilities. High-throughput automated screening of the array demonstrates how the physicochemical properties of the PEG-lipid/SWCNT 3D corona interfaces correlate with viral detection efficiency. Utilizing molecular dynamics and AutoDock simulations we investigated the impact of PEG-lipid components on 3D corona interface formation such as surface coverage and hydrodynamic radius and specific molecular interactions based on chemical potentials. Our findings not only enhance detection specificity across various antigens but also accelerate the development of sensor materials for promptly identifying and responding to emerging antigen threats. © 2024 American Chemical Society
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