Highly sensitive and label-free detection of SARS-CoV-2 proteins via surface plasmon resonance using biofunctionalization with 1 nm thick carbon nanomembranes

Here we report a novel platform for the detection of nucleocapsid (N) and receptor-binding domain (RBD) of spike (S) proteins of SARS-CoV-2 viruses using the surface plasmon resonance (SPR) technique. We demonstrate that the functionalization of SPR sensors with molecular 2D materials - 1 nm thick carbon nanomembranes (CNMs) significantly enhances sensitivity. CNMs terminated with azide linker (N<sub>3</sub>-CNM) enable covalent bonding of SARS-CoV-2 antibodies for specific immobilization of the N- and S-proteins to the sensor surface. The successful and stable hierarchical functionalization is confirmed by multiparametric SPR measurements complemented with X-ray photoelectron spectroscopy and polarization modulation infrared reflection absorption spectroscopy. The obtained equilibrium dissociation constants (K<sub>D</sub>) for the N-protein and the S-protein in the physiological buffer are 570 ± 50 pM and 22 ± 2 pM and the low detection limits (LODs) are ~ 190 pM and ~ 10 pM, respectively. The high specificity of the developed sensors is shown via their negligible cross-reactivity with SARS-CoV-1 and MERS-CoV proteins. Finally, detection of SARS-CoV-2 proteins in nasopharyngeal swab samples with the LOD of ~ 40 pM is demonstrated. The proposed methodology enables the development of biosensors that cover clinically relevant range for the direct and immediate detection of SARS-CoV-2 without any amplification or labeling.

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Publication Details

Journal
Scientific Reports
Published
2025-08-25
DOI
https://doi.org/10.1038/s41598-025-16342-5
Citations
9
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
12.57

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article

Highly sensitive and label-free detection of SARS-CoV-2 proteins via surface plasmon resonance using biofunctionalization with 1 nm thick carbon nanomembranes

Dominik Gary, Martha Frey, Katrin Frankenfeld, Christof Neumann et al.
9 citations
Scientific Reports
SARS-CoV-2 detection and testing
12.57
article

Highly sensitive and label-free detection of SARS-CoV-2 proteins via surface plasmon resonance using biofunctionalization with 1 nm thick carbon nanomembranes

Dominik Gary, Martha Frey, Katrin Frankenfeld, Christof Neumann, Ghazaleh Eshaghi, Andrey Turchanin, Hamid Reza Rasouli, David A. Kaiser, Tobias Fischer, Rania Ennaciri
article en
9 citations

Abstract

Here we report a novel platform for the detection of nucleocapsid (N) and receptor-binding domain (RBD) of spike (S) proteins of SARS-CoV-2 viruses using the surface plasmon resonance (SPR) technique. We demonstrate that the functionalization of SPR sensors with molecular 2D materials - 1 nm thick carbon nanomembranes (CNMs) significantly enhances sensitivity. CNMs terminated with azide linker (N<sub>3</sub>-CNM) enable covalent bonding of SARS-CoV-2 antibodies for specific immobilization of the N- and S-proteins to the sensor surface. The successful and stable hierarchical functionalization is confirmed by multiparametric SPR measurements complemented with X-ray photoelectron spectroscopy and polarization modulation infrared reflection absorption spectroscopy. The obtained equilibrium dissociation constants (K<sub>D</sub>) for the N-protein and the S-protein in the physiological buffer are 570 ± 50 pM and 22 ± 2 pM and the low detection limits (LODs) are ~ 190 pM and ~ 10 pM, respectively. The high specificity of the developed sensors is shown via their negligible cross-reactivity with SARS-CoV-1 and MERS-CoV proteins. Finally, detection of SARS-CoV-2 proteins in nasopharyngeal swab samples with the LOD of ~ 40 pM is demonstrated. The proposed methodology enables the development of biosensors that cover clinically relevant range for the direct and immediate detection of SARS-CoV-2 without any amplification or labeling.

Scientific ReportsVol. 15(1)
Research Centre of Medical Technology and Biotechnology (DE), Jena Bioscience (Germany) (DE), Friedrich Schiller University Jena (DE)
Friedrich-Schiller-Universität Jena
Openalex Percentile: Top 1%
SARS-CoV-2 detection and testing
12.57
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