High performance multi-spectral interrogation for surface plasmon resonance imaging sensors.

Area of Science:

• Biophotonics
• Surface Science
• Biomedical Sensing

Background:

• Surface plasmon resonance (SPR) is crucial for label-free characterization of surface interactions, particularly in biomedical applications.
• Traditional SPR interrogation modes (angular, spectral) achieve high accuracy but sacrifice 2D imaging and data throughput.
• Limitations exist in balancing resolution, speed, and data quality in current SPR systems.

Purpose of the Study:

• To develop and validate a novel multi-spectral surface plasmon resonance (SPR) imaging technique.
• To optimize SPR systems for enhanced resolution, accuracy, and acquisition speed.
• To overcome the limitations of classical reflectivity interrogation modes in SPR imaging.

Main Methods:

• Numerical and experimental demonstration of combining multi-spectral interrogation with 2D imaging.
• Implementation of a five-parameter fitting model for spectral reflectivity curves.
• Utilizing five wavelength measurements per point for picometer-level spectral shift resolution.

Main Results:

• Achieved an optimal balance between resolution, accuracy, acquisition speed, and reduced data dispersion compared to classical SPR.
• Demonstrated a spectral reflectivity shift resolution of approximately ten picometers.
• Validated the multi-spectral SPR imaging system for biomolecular interaction monitoring in a linear regime.

Conclusions:

• The developed multi-spectral SPR imaging system offers significant advantages over conventional methods.
• This technique enables robust, label-free monitoring of biomolecular interactions, independent of buffer optical index variations.
• The study presents a promising advancement for high-throughput, high-resolution biosensing applications.