Modelling a Peroxidase-based Optical Biosensor

Area of Science:

• Biomedical Engineering
• Chemical Sensors
• Mathematical Modeling

Background:

• Optical biosensors offer sensitive detection methods.
• Peroxidase enzymes are crucial in various biosensing applications.
• Mathematical modeling aids in understanding and optimizing biosensor performance.

Purpose of the Study:

• To digitally model the response of a peroxidase-based optical biosensor.
• To investigate the impact of substrate concentration and layer thicknesses on biosensor performance.
• To analyze the complex kinetics governing the biosensor response.

Main Methods:

• Developed a mathematical model using non-linear reaction-diffusion equations.
• Simulated biosensor behavior using the finite difference technique.
• Analyzed the influence of enzyme and diffusion layer thicknesses and substrate concentration.

Main Results:

• The biosensor response exhibits complex kinetics, especially under low peroxidase and hydrogen peroxide concentrations.
• Substrate concentration significantly affects the biosensor output.
• The thickness of both enzyme and diffusion layers plays a critical role in modulating the sensor's response.

Conclusions:

• Digital modeling provides valuable insights into peroxidase-based optical biosensor behavior.
• Optimizing enzyme and diffusion layer thickness is essential for enhanced biosensor performance.
• Understanding complex kinetics is key for accurate biosensing, particularly at low analyte levels.