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Updated: Apr 4, 2026

Fabrication of a Solution-gated Indium-Tin-Oxide-based One-piece Transistor Enabling Sensitive Biosensing
Published on: August 29, 2025
Numerical simulation of ISFET structures for biosensing devices with TCAD tools
This study uses Synopsys Sentaurus TCAD to simulate Ion-Sensitive Field Effect Transistors (ISFETs) for biosensors. Simulation reveals target location significantly impacts current modulation, not just quantity, optimizing biosensor design.
Area of Science:
- Semiconductor Device Physics
- Biotechnology
- Computational Modeling
Background:
- Ion-Sensitive Field Effect Transistors (ISFETs) are foundational for biosensor fabrication.
- Optimizing biosensor design requires understanding the link between fabrication parameters and electrical response.
- Electrical device-level simulation offers a method to achieve this optimization.
Purpose of the Study:
- To present a numerical simulation approach for studying ISFET structures in biosensing devices (BioFETs).
- To utilize Synopsys Sentaurus Technology Computer-Aided Design (TCAD) tools for this simulation.
- To establish a framework for optimizing biosensor design and fabrication.
Main Methods:
- Simulated the electrostatic behavior (transfer characteristics) of a general BioFET structure.
- Modified custom material properties to replicate electrolyte behavior within the simulation.
- Set intrinsic semiconductor material parameters to model an electrolyte solution.
Main Results:
- Simulated BioFET response with increasing captured target numbers (1-10).
- Calculated drain current (ID) versus drain-source voltage (VDS) for various charged block positions and reference electrode values.
- Observed that target location, not just number, significantly influences current modulation.
Conclusions:
- A numerical simulation approach using Synopsys Sentaurus TCAD for ISFET-based biosensors was successfully developed.
- This framework aids in optimizing biosensor design, reducing development time and cost.
- Key finding: Target proximity to the source region yields greater current modulation efficiency compared to the drain region; random distribution is more effective than localized grouping.
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