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Engineering Antiviral Agents via Surface Plasmon Resonance
Published on: June 14, 2022
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Real-time biodetection using a smartphone-based dual-color surface plasmon resonance sensor.
Qiang Liu1, Huizhen Yuan1, Yun Liu1
1Dalian Univ. of Technology, China.
Journal of Biomedical Optics
|April 29, 2018
Summary
This study introduces a simple, low-cost smartphone-based fiber optic sensor for detecting analytes like immunoglobulin G (IgG). The sensor uses red-green color analysis for sensitive, real-time, label-free biodetection.
Area of Science:
- Optoelectronics
- Biosensing
- Nanotechnology
Background:
- Surface Plasmon Resonance (SPR) sensors offer label-free detection capabilities.
- Traditional SPR setups often require complex and expensive optical components.
- There is a need for portable, cost-effective biosensing platforms.
Purpose of the Study:
- To develop a compact and affordable fiber optic SPR sensor utilizing smartphone technology.
- To leverage the color selectivity of smartphone cameras for enhanced detection.
- To demonstrate the sensor's efficacy in real-time biodetection, specifically for immunoglobulin G (IgG) concentration measurement.
Main Methods:
- A red-green dual-color fiber optic SPR sensor was designed with a simplified optical configuration, omitting prisms and gratings.
- Smartphone cameras were employed for simultaneous real-time monitoring of red and green color channels.
- The sensor's performance was evaluated using refractive index measurements and IgG concentration detection.
Main Results:
- The sensor exhibited a linear response over a refractive index range of 1.326 to 1.351 (R² = 0.991) with a resolution of 2.3 × 10⁻⁴ RIU.
- A linear SPR response was observed for IgG concentrations from 0.02 to 0.30 mg/mL with good repeatability.
- The dual-color detection method reduced false detection and improved sensitivity.
Conclusions:
- The proposed smartphone-based fiber optic SPR sensor is compact, cost-effective, and simple to operate.
- It enables real-time, label-free biodetection with high sensitivity and reliability.
- Potential applications include public health and environmental monitoring.
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