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Nano Research 2022, 15(3): 2254-2262 https://doi.org/10.1007/s12274-021-3772-6
Research Article | Issue | Published: 21 September 2021

Rapid detection of influenza A (H1N1) virus by conductive polymer-based nanoparticle via optical response to virus-specific binding

Show Author's Information Geunseon Park1,§,  Hyun-Ouk Kim2,3,§,  Jong-Woo Lim1,  Chaewon Park1,  Minjoo Yeom4,  Daesub Song4( ),  Seungjoo Haam1( )
Department of Chemical & Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea
Division of Chemical Engineering and Bioengineering College of Art, Culture and Engineering, Kangwon National University, Chuncheon-si, Gangwon-do 24341, Republic of Korea
Biohealth-machinery Convergence Engineering, Kangwon National University, Chuncheon, Gangwon-do 24341, Republic of Korea
College of Pharmacy, Korea University, Sejong 30019, Republic of Korea

§ Geunseon Park and Hyun-Ouk Kim contributed equally to this work.

Keywords:
optical property, conductive polymer, influenza A (H1N1) virus, rapid detection
Topics:
Viruses
Cite this article:
Park G, Kim H-O, Lim J-W, et al. Rapid detection of influenza A (H1N1) virus by conductive polymer-based nanoparticle via optical response to virus-specific binding. Nano Research, 2022, 15(3): 2254-2262. https://doi.org/10.1007/s12274-021-3772-6
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Abstract About this article

A recurrent pandemic with unpredictable viral nature has implied the need for a rapid diagnostic technology to facilitate timely and appropriate countermeasures against viral infections. In this study, conductive polymer-based nanoparticles have been developed as a tool for rapid diagnosis of influenza A (H1N1) virus. The distinctive property of a conductive polymer that transduces stimulus to respond, enabled immediate optical signal processing for the specific recognition of H1N1 virus. Conductive poly(aniline-co-pyrrole)-encapsulated polymeric vesicles, functionalized with peptides, were fabricated for the specific recognition of H1N1 virus. The low solubility of conductive polymers was successfully improved by employing vesicles consisting of amphiphilic copolymers, facilitating the viral titer-dependent production of the optical response. The optical response of the detection system to the binding event with H1N1, a mechanical stimulation, was extensively analyzed and provided concordant information on viral titers of H1N1 virus in 15 min. The specificity toward the H1N1 virus was experimentally demonstrated via a negative optical response against the control group, H3N2. Therefore, the designed system that transduces the optical response to the target-specific binding can be a rapid tool for the diagnosis of H1N1.

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Acknowledgements

Publication history

Received: 14 May 2021
Revised: 22 July 2021
Accepted: 25 July 2021
Published: 21 September 2021
Issue date: March 2022

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021

Acknowledgements

Acknowledgements

H.-O. Kim acknowledges support from the National Research Foundation of Korea grant funded by the Korean government (No. NRF-2019R1I1A1A01057005) and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through the Animal Disease Management Technology Development Program funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (No. 320056-2). D. Song acknowledges support from Korea Mouse Phenotyping Project (No. NRF-2019M3A9D5A01102797) and Development of African Swine Fever Virus Vaccine and Assessment of Rapid Test Kit (No. NRF-2019K1A3A1A61091813) of the Ministry of Science and ICT through the National Research Foundation. S. Haam acknowledges support from Technology Development Project for Biological Hazards Management in Indoor Air Program of Korea Environment Industry & Technology Institute (KEITI) funded by Korea Ministry of Environment (MOE) (No. RE202101004) and Nano Material Technology Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2017M3A7B4041798). This research was also supported by the Bio & Medical Technology Development Program (No. NRF-2018M3A9E2022819) and the Bio & Medical Technology Development Program (No. NRF-2018M3A9H4056340) of the National Research Foundation (NRF) funded by the Ministry of Science & ICT.

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