Abstract
The ongoing outbreak of the COVID-19 has highlighted the importance of the pandemic prevention and control. A rapid and sensitive antigen assay is crucial in diagnosing and curbing pandemic. Here, we report a novel surface plasmon resonance biosensor based on laser heterodyne feedback interferometry for the detection of SARS-CoV-2 spike antigen, which is achieved by detecting the tiny difference in refractive index between different antigen concentrations. The biosensor converts the refractive index changes at the sensing unit into the intensity changes of light through surface plasmon resonance, achieving label-free and real-time detection of biological samples. Moreover, the gain amplification effect of the laser heterodyne feedback interferometry further improved the sensitivity of this biosensor. The biosensor can rapidly respond to continuous and periodic changes in the refractive index with a high resolution of 3.75 × 10−8 RIU, demonstrating the repeatability of the biosensor. Afterwards, the biosensor is immobilized by the anti-SARS-CoV-2 spike monoclonal antibodies, thus realizing the specific recognition of the antigen. The biosensor exhibited a high sensitivity towards the concentration of the antigen with a linear dynamic range of five orders of magnitude and a resolution of 0.08 pg/mL. These results indicate that this principle can be used as a rapid diagnostic method for COVID-19 antigens without sample labelling.
Original language | English |
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Article number | 114163 |
Journal | Biosensors and Bioelectronics |
Volume | 206 |
Early online date | 6 Mar 2022 |
DOIs | |
Publication status | Published - 15 Jun 2022 |
Bibliographical note
Funding Information:This work was supported by the National Natural Science Foundation of China ( 51961130387 ), the Royal Society Newton Advanced Fellowship ( NAF/R1/191072 ), the National Science Fund for Excellent Young Scholars ( 51722506 ) and Initiative Scientific Research Program of State Key Lab of Precision Measurement Technology and Instrument, Tsinghua University .
Keywords
- Label free approach
- Laser feedback
- Optical biosensor
- Refractive index sensing
- SARS-CoV-2
- Surface plasmon resonance