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A Nanomaterial-Independent Biosensor Based on Gallium Arsenide High-Electron-Mobility Transistors for Rapid and
Ying Zheng1, Chunyang Zhang1, Ying Zhang1
1Guangzhou National Laboratory, Guangzhou 510005, PR China.
ACS Sensors
|June 3, 2025
Summary
A simplified Gallium-Arsenic-based high-electron-mobility transistor biosensor (GaAs-bioHEMT) offers sensitive and rapid pathogen detection. This innovation eliminates complex modifications, paving the way for accessible point-of-care diagnostics.
Area of Science:
- Semiconductor device physics
- Biosensor technology
- Nanotechnology for diagnostics
Background:
- Biofield effect transistors (bio-FETs) show promise for pathogen detection due to sensitivity and speed.
- Current bio-FETs often require complex electrical modulation, limiting practical use.
- Need for simplified, manufacturable biosensors for widespread application.
Purpose of the Study:
- To develop a structurally simplified Gallium-Arsenic-based high-electron-mobility transistor biosensor (GaAs-bioHEMT).
- To demonstrate sensitive and rapid detection of SARS-CoV-2 nucleocapsid protein (NP).
- To eliminate the need for nanomaterial enhancement and external reference electrodes.
Main Methods:
- Fabrication of GaAs-bioHEMT using wafer-level processes.
- Achieved high electron mobility (7467.417 cm2 V-1 s-1).
- Operated the biosensor in depletion mode for SARS-CoV-2 NP detection.
Main Results:
- Demonstrated effective detection of SARS-CoV-2 nucleocapsid protein (NP).
- Achieved a low detection limit of 0.125 fg mL-1 within 5 minutes.
- Simplified design without nanomaterial modification or external electrodes.
Conclusions:
- The GaAs-bioHEMT offers a simplified, highly sensitive platform for pathogen detection.
- The design is compatible with conventional semiconductor manufacturing, enabling scalability.
- Shows significant potential for point-of-care (POC) diagnostics and clinical testing.
Keywords:
GaAshigh electron mobility transistor (HEMT)nanomaterial-independentpathogen detectionreference-electrodes-free
