Ultrafast Surface Plasmon Resonance Imaging Sensor via the High-Precision Four-Parameter-Based Spectral Curve...

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Optics

Background:

• Surface Plasmon Resonance (SPR) sensing is crucial for label-free, sensitive, and rapid biochemical detection.
• Spectrum-based SPR devices offer advantages in high-throughput sensing due to their large dynamic range and resolution.
• Existing SPR systems can be improved for speed and accuracy in data processing.

Purpose of the Study:

• To demonstrate a novel spectrum-based SPR imaging sensing system with fast wavelength scanning.
• To introduce a new data processing method for enhanced spectral curve fitting.
• To validate the system's performance in high-throughput detection of COVID-19 spike protein.

Main Methods:

• Development of a spectrum-based SPR imaging system utilizing an acousto-optic tunable filter (AOTF) for fast wavelength scanning.
• Implementation of a low-cost, speckle-free halogen lamp as the SPR excitation source.
• Application of a novel four-parameter-based spectral curve readjusting (4-PSCR) method for data processing, outperforming traditional polynomial fitting.

Main Results:

• The developed SPR system achieved fast wavelength scanning and high-throughput detection capabilities.
• The 4-PSCR method provided a faster and more accurate spectral data curve fitting process.
• Successful high-throughput SPR detection of the novel coronavirus (COVID-19) spike protein was achieved with high accuracy.

Conclusions:

• The demonstrated spectrum-based SPR imaging system offers enhanced sensitivity and accuracy for biochemical detection.
• The novel 4-PSCR method significantly improves spectral data processing efficiency and reliability.
• The system shows strong potential for applications in biochemical imaging and disease screening, including COVID-19 detection.