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Virus MIP-composites for SARS-CoV-2 detection in the aquatic environment.
Sukjee, Wannisa; Thitithanyanont, Arunee; Manopwisedjaroen, Suwimon; Seetaha, Supaphorn; Thepparit, Chutima; Sangma, Chak.
Afiliação
  • Sukjee W; Department of Chemistry, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.
  • Thitithanyanont A; Department of Microbiology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.
  • Manopwisedjaroen S; Department of Microbiology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.
  • Seetaha S; Department of Biochemistry, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.
  • Thepparit C; Center for Vaccine Development, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand.
  • Sangma C; Department of Chemistry, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.
Mater Lett ; 315: 131973, 2022 May 15.
Article em En | MEDLINE | ID: mdl-35250128
ABSTRACT
SARS-CoV-2 is the virus responsible for causing the global COVID-19 pandemic. Identifying the presence of this virus in the environment could potentially improve the effectiveness of disease control measures. Environmental SARS-CoV-2 monitoring may become increasingly demanded in areas where the available testing methods are ineffective. In this study, we present an electrochemical polymer composites biosensor for measuring SARS-CoV-2 whole-virus particles in the environment. The sensitized layer was prepared from molecularly imprinted polymer (MIP) composites of inactivated SARS-CoV-2. Testing demonstrated increased sensor signaling with SARS-CoV-2 specifically, while lower responses were observed to the negative controls, H5N1 influenza A virus and non-imprinted polymers (NIPs). This sensor detected SARS-CoV-2 at concentrations as low as 0.1 fM in buffer and samples prepared from reservoir water with a 3 log-scale linearity.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article