Number of the records: 1
Biosensor for rapid detection of SARS-CoV-2 in real-world samples
- 1.
SYSNO ASEP 0558950 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Biosensor for rapid detection of SARS-CoV-2 in real-world samples Author(s) Forinová, Michala (FZU-D) ORCID
Pilipenco, Alina (FZU-D) ORCID, RID
Víšová, Ivana (FZU-D) ORCID
Kunčák, Jakub (FZU-D)
Lynn, Nicholas Scott (FZU-D) ORCID
Yudin, Petr (FZU-D) ORCID
Dostálek, Jakub (FZU-D) ORCID
Hönig, Václav (BC-A) RID, ORCID
Palus, Martin (BC-A) RID, ORCID
Mašková, H. (CZ)
Dyčka, F. (CZ)
Štěrba, J. (CZ)
Vrabcová, Markéta (FZU-D) ORCID
Arnoštová, Judita (FZU-D)
Spasovová, Monika (FZU-D) ORCID
Tung, C.-P. (TW)
Yang, A.-S. (TW)
Dejneka, Alexandr (FZU-D) RID, ORCID
Vaisocherová-Lísalová, Hana (FZU-D) ORCIDNumber of authors 19 Source Title IEEE SENSORS 2021. - New York : IEEE, 2021 / McShane M. - ISSN 1930-0395 - ISBN 978-1-7281-9501-8 Pages (2021), s. 1-4 Series IEEE Sensors Number of pages 4 s. Publication form Online - E Action IEEE Sensors Conference /20./ Event date 31.10.2021 - 03.11.2021 VEvent location Sydney Country AU - Australia Event type WRD Language eng - English Country US - United States Keywords biosensor ; SARS-CoV-2 ; polymer brush ; QCM ; A-QCM ; rapid detection ; antifouling Subject RIV BO - Biophysics OECD category Biophysics Subject RIV - cooperation Biology Centre (since 2006) - Biophysics R&D Projects GA21-19779S GA ČR - Czech Science Foundation (CSF) Institutional support FZU-D - RVO:68378271 ; BC-A - RVO:60077344 UT WOS 000755468300249 EID SCOPUS 85123634927 DOI 10.1109/SENSORS47087.2021.9639783 Annotation The current COVID-19 pandemic has become a worldwide problem with more than 169 million people infected by May 2021. Here we demonstrate a unique technology, based on the quartz crystal microbalance method, for the rapid detection of SARS-CoV-2. This biosensor fulfils all of the many requirements for the rapid detection of SARS-CoV-2 in complex samples. This is achieved by a tailored antifouling surface post-modified with antibodies against SARS-CoV-2 nucleocapsid protein (N). The A-QCM profits from absence of sample pre-treatment and utilizes the natural properties of N protein, which forms complexes with vRNA. Thanks to this, the clinically relevant LOD of 6.7×103 PFU/mL was reached using one-step detection assay. The A-QCM biosensor was also validated with clinical samples (i.e. nasopharyngeal swabs) with full agreement with qRT-PCR. Workplace Institute of Physics Contact Kristina Potocká, potocka@fzu.cz, Tel.: 220 318 579 Year of Publishing 2023
Number of the records: 1