Brandmeier, Julian C. and Jurga, Natalia and Grzyb, Tomasz and Hlavacek, Antonin and Oborilova, Radka and Skladal, Petr and Farka, Zdenek and Gorris, Hans H. (2023) Digital and Analog Detection of SARS-CoV-2 Nucleocapsid Protein via an Upconversion-Linked Immunosorbent Assay. ANALYTICAL CHEMISTRY, 95 (10). pp. 4753-4759. ISSN 0003-2700, 1520-6882
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The COVID-19 crisis requires fast and highly sensitive tests for the early stage detection of the SARS-CoV-2 virus. For detecting the nucleocapsid protein (N protein), the most abundant viral antigen, we have employed upconversion nanoparticles that emit short-wavelength light under near-infrared excitation (976 nm). The anti-Stokes emission avoids autofluorescence and light scattering and thus enables measurements without optical background interference. The sandwich upconversion-linked immunosorbent assay (ULISA) can be operated both in a conventional analog mode and in a digital mode based on counting individual immune complexes. We have investigated how different antibody combinations affect the detection of the wildtype N protein and the detection of SARS-CoV-2 (alpha variant) in lysed culture fluid via the N protein. The ULISA yielded a limit of detection (LOD) of 1.3 pg/mL (27 fM) for N protein detection independent of the analog or digital readout, which is approximately 3 orders of magnitude more sensitive than conventional enzyme-linked immunosorbent assays or commercial lateral flow assays for home testing. In the case of SARSCoV-2, the digital ULISA additionally improved the LOD by a factor of 10 compared to the analog readout.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | UPCONVERTING NANOPARTICLES; PERSPECTIVES; CHALLENGES; |
| Subjects: | 500 Science > 540 Chemistry & allied sciences |
| Divisions: | Chemistry and Pharmacy > Institut für Analytische Chemie, Chemo- und Biosensorik > Chemo- und Biosensorik (Prof. Antje J. Bäumner, formerly Prof. Wolfbeis) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 19 Mar 2024 10:47 |
| Last Modified: | 19 Mar 2024 10:47 |
| URI: | https://pred.uni-regensburg.de/id/eprint/60349 |
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