COVID-19 variants’ cross-reactivity on the paper microfluidic particle counting immunoassay
Affiliation
Department of Biomedical Engineering, The University of ArizonaDepartment of Chemistry & Biochemistry, The University of Arizona
Issue Date
2022-09-21
Metadata
Show full item recordPublisher
Springer Science and Business Media LLCCitation
Kim, S., Eades, C., & Yoon, J.-Y. (2022). COVID-19 variants’ cross-reactivity on the paper microfluidic particle counting immunoassay. Analytical and Bioanalytical Chemistry.Rights
© Springer-Verlag GmbH Germany, part of Springer Nature 2022.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
SARS-CoV-2 has mutated many times since the onset of the COVID-19 pandemic, and the omicron is currently the most dominant variant. Determining the specific strain of the virus is beneficial in providing proper care and containment of the disease. We have previously reported a novel method of counting the number of particle immunoagglutination on a paper microfluidic chip using a smartphone-based fluorescence microscope. A single-copy-level detection was demonstrated from clinical saline gargle samples. In this work, we further evaluated two different SARS-CoV-2 monoclonal antibodies to spike vs. nucleocapsid antigens for detecting omicron vs. delta and spike vs. nucleocapsid proteins. The SARS-CoV-2 monoclonal antibody to nucleocapsid proteins could distinguish omicron from delta variants and nucleocapsid from spike proteins. However, such distinction could not be found with the monoclonal antibody to spike proteins, despite the numerous mutations found in spike proteins among variants. This result may suggest a clue to the role of nucleocapsid proteins in recognizing different variants.Note
No embargo COVID-19ISSN
1618-2642EISSN
1618-2650Version
Final accepted manuscriptSponsors
Technology and Research Initiative Fund (TRIF) of the Arizona Board of Regentsae974a485f413a2113503eed53cd6c53
10.1007/s00216-022-04333-8