Applications of Transistor-Based Biochemical Sensors
Qiya Gao1, Jie Fu1, Shuang Li1
1Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
Biosensors
|May 15, 2023
Summary
Transistor-based biochemical sensors offer real-time detection for medical applications. This review covers Field-Effect Transistors (FETs), Organic FETs (OFETs), and Organic Electrochemical Transistors (OECTs) for advanced diagnostics.
Area of Science:
- Biomedical Engineering
- Materials Science
- Sensor Technology
Background:
- Transistor-based biochemical sensors enable non-invasive, real-time detection and easy integration with electronic circuits.
- They are crucial for intelligent wearable devices, electronic skins, biological analyses, and intelligent medical detection.
- Field-Effect Transistors (FETs), Organic FETs (OFETs), and Organic Electrochemical Transistors (OECTs) offer unique advantages like sensitivity, flexibility, and signal conversion.
Purpose of the Study:
- To review transistor-based biochemical sensors, focusing on FET, OFET, and OECT types.
- To discuss fabrication processes for transistor components (sources, drains, gates).
- To demonstrate applications in body fluid biomarker detection, electrophysiology signal monitoring, and future development trends.
Main Methods:
- Review of existing literature on transistor-based biochemical sensors.
- Discussion of fabrication techniques for FET, OFET, and OECT devices.
- Analysis of sensor performance for various analytes and physiological signals.
Main Results:
- Transistor sensors, particularly FETs, OFETs, and OECTs, show high sensitivity, specificity, and rapid response.
- Modification with sensitive substances enhances detection capabilities, broadening the range and lowering the limit of detection (LoD).
- These sensors can detect both biochemical markers and electrophysiology indicators like ECG signals and body temperature.
Conclusions:
- Transistor-based biochemical sensors are highly promising for multi-mode intelligent analysis.
- They offer excellent potential for the next generation of intelligent point-of-care testing (iPOCT).
- Continued development will advance their role in personalized and accessible healthcare.


