Optofluidic Flow-Through Biosensor Sensitivity - Model and Experiment
Joel G Wright1, Md Nafiz Amin2, Gopikrishnan G Meena2
1Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT, 84602, USA.
Summary
We developed a predictive model for fluorescence-based optical biosensors. This model accurately simulates detected signals, aiding in pathogen detection and biosensor design.
Area of Science:
- Optofluidics
- Biosensing
- Optical Engineering
Background:
- Fluorescence-based optical biosensors are crucial for detecting analytes like pathogens.
- Optofluidic waveguides offer a platform for miniaturized and sensitive biosensing.
- Accurate predictive models are needed to optimize biosensor design and performance.
Purpose of the Study:
- To present a predictive model and simulation for fluorescence-based optical biosensors.
- To validate the model against experimental data for different biosensor designs.
- To demonstrate the model's utility in pre-fabrication design and sensitivity prediction.
Main Methods:
- Development of a predictive model based on biosensor geometry and optofluidic principles.
- Simulation of detected signals from the fluorescence-based optical biosensor.
- Comparison of model predictions with experimental results from three distinct biosensor designs.
Main Results:
- The model successfully predicts signal statistics for fluorescence-based optical biosensors.
- Simulated signal statistics closely matched those obtained from physical tests.
- The model demonstrated accuracy across three different biosensor configurations.
Conclusions:
- The developed model is a valuable tool for predicting the performance of optofluidic biosensors.
- The model can guide pre-fabrication design choices and estimate detection sensitivity.
- This approach enhances the development of efficient and sensitive biosensing technologies.
