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Published on: January 31, 2025
Generalized Analytical Model for Enzymatic BioFET Transistors
Cristian Ravariu1, Avireni Srinivasulu2,3, Dan Eduard Mihaiescu4
1BioNEC Group, Department of Electronic Devices Circuits and Architectures, Faculty of Electronics ETTI, Polytechnic University of Bucharest, Splaiul Independentei 313, 060042 Bucharest, Romania.
This study introduces a new simulation model for enzyme biosensors using Field-Effect Transistors (FETs). The developed analytical tool aids in designing advanced biosensors for clinical applications.
Area of Science:
- Biomedical Engineering
- Biosensor Technology
- Semiconductor Devices
Background:
- Enzyme biosensors integrated with Field-Effect Transistors (FETs) lack dedicated simulation software.
- Existing tools like Atlas cannot model these bio-electronic devices, creating a market gap.
- This limitation hinders the design and development of novel biosensors.
Purpose of the Study:
- To address the simulation gap for enzyme-FET biosensors.
- To develop a general analytical model for enzyme-transistor systems.
- To facilitate the design of biosensors for clinical practice.
Main Methods:
- The model integrates the Michaelis-Menten formalism for enzymatic reactions.
- It analyzes the time-dependent product concentrations from the enzyme block.
- These concentrations serve as input signals for the Field-Effect Transistor (FET) transducer model.
Main Results:
- A novel analytical model for enzyme-FET biosensor functionality is presented.
- The model simulates the enzymatic block coupled with FET transducers.
- Comparisons with experimental data validate the model's accuracy.
Conclusions:
- The proposed analytical model fills a critical market need for biosensor simulation.
- This tool is valuable for the design phase of enzymatic transistors.
- It supports the advancement of biosensors in clinical diagnostics.
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