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Cost-Effective and High-Throughput WSPRi Sensing System Based on Multi-Monochromatic LEDs and Adaptive Second-Order
Chenglong Guo1,2, Jiacong Xiao3, Jianchun Zeng3
1School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Sensors (Basel, Switzerland)
|January 10, 2026
Summary
This study introduces a rapid Surface Plasmon Resonance imaging (SPRi) system using LEDs and an adaptive algorithm for faster, lower-cost biochemical analysis. The platform enables real-time monitoring and shows promise for early osteoarthritis diagnosis.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Biophysics
Background:
- Surface Plasmon Resonance imaging (SPRi) is a label-free technique for high-throughput biochemical analysis.
- Conventional wavelength-modulation SPRi systems face challenges with cost, complexity, and temporal resolution due to tunable filters.
Purpose of the Study:
- To develop a rapid, cost-effective, and robust wavelength-modulation SPRi system.
- To improve temporal resolution and simplify system design for biochemical analysis.
Main Methods:
- A novel SPRi system utilizing a multi-LED light source (730-805 nm) and an adaptive second-order fitting (ASF) algorithm.
- The ASF algorithm employs a coarse scan followed by dynamic selection of an optimal three-LED subset for rapid resonance wavelength reconstruction without mechanical scanning.
Main Results:
- Achieved a scanning cycle of 105 ms, refractive index (RI) resolution of 5.54 × 10-6 RIU, and a dynamic range of 0.0241 RIU.
- Demonstrated excellent multi-channel consistency and successful real-time monitoring of antibody-antigen interactions.
- Successfully detected cartilage oligomeric matrix protein (COMP) in synovial fluid, distinguishing osteoarthritis samples.
Conclusions:
- The developed SPRi system offers a practical and reliable platform for high-throughput biochemical analysis.
- The system's speed, cost-effectiveness, and accuracy support its application in early disease diagnosis, such as osteoarthritis.
