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Design and Analysis of Planar Waveguide-Based SPR Sensor for Formalin Detection Using Ag-Chloride-BP Structure
IEEE Transactions on Nanobioscience
|July 19, 2022
Summary
This study introduces a new sensor for detecting formalin in food. The novel planar waveguide-based surface plasmon resonance (SPR) sensor utilizes silver-chloride and black phosphorus for enhanced food safety.
Area of Science:
- Analytical Chemistry
- Materials Science
- Biosensing Technology
Background:
- Formalin, a chemical preservative, poses significant health risks, including chronic cancer, when present in food.
- The regular consumption of formalin-contaminated food necessitates critical detection methods for food safety.
- There is a growing demand for sensitive and accurate formalin detection techniques in various environments.
Purpose of the Study:
- To develop and present a novel planar waveguide-based surface plasmon resonance (SPR) sensor for formalin detection.
- To optimize the sensor's performance by analyzing metal thickness and chloride material properties.
- To evaluate the sensor's effectiveness compared to existing methods.
Main Methods:
- Fabrication of a planar waveguide-based SPR sensor incorporating silver-chloride materials and black phosphorus.
- Analysis of transmittance power and resonance shift to optimize metal thickness and chloride material.
- Performance evaluation using parameters like sensitivity, quality-factor, detection accuracy, and figure-of-merit (FOM).
- Utilizing Opti-FDTD software for electromagnetic field distribution analysis.
Main Results:
- The proposed sensor demonstrated high sensitivity (344°/RIU), detection accuracy (3.34), and figure-of-merit (164.74).
- Optimization of metal thickness and chloride material significantly enhanced sensor performance.
- Comparative studies confirmed the superior performance of the proposed SPR sensor, particularly its FOM.
Conclusions:
- The developed silver-chloride/black phosphorus planar waveguide-based SPR sensor offers a highly effective method for formalin detection in food.
- The sensor design and optimization strategies provide a promising platform for sensitive and accurate chemical sensing.
- This advancement contributes to improved food safety by enabling reliable detection of harmful preservatives like formalin.
