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Sensitive field-effect transistor sensors with atomically thin black phosphorus nanosheets.
Arnab Maity1, Xiaoyu Sui, Haihui Pu
1Department of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA. jhchen@uwm.edu.
Nanoscale
|December 21, 2019
Summary
Atomically thin black phosphorus field-effect transistors (PFETs) show promise for sensing. New methods improve fabrication and reduce device variation, enabling high-response lead ion detection in water.
Area of Science:
- Materials Science
- Nanotechnology
- Sensor Technology
Background:
- Atomically thin black phosphorus (BP) field-effect transistors (PFETs) offer significant potential for sensing applications.
- Commercialization of PFET sensors faces challenges including fabrication complexity, oxidation-induced low response, inconsistent output, and device variability due to poor layer thickness control.
Purpose of the Study:
- To develop a theoretical model for response dependence on BP layer number.
- To create a method for rapid, controlled production of thin BP layers.
- To enhance PFET sensor performance and minimize device variation for lead ion detection.
Main Methods:
- Developed a theoretical model to correlate BP layer number with sensor response.
- Implemented a position-tracked, selected-area-exfoliation technique for BP layer production (1-7 layers).
- Utilized cysteine-modified Al2O3-gated PFETs for lead ion sensing and investigated oxide thickness effects on response kinetics.
Main Results:
- Achieved a narrow distribution of BP layer thickness (1-7 layers) with good gate control.
- PFETs demonstrated high current on/off ratios (300-500).
- Cysteine-modified sensors exhibited high responses (30-900%) for lead ions (1-400 ppb) within 10-30 seconds, with strategies to minimize device variation.
Conclusions:
- The developed methods significantly improve BP layer control and PFET sensor fabrication.
- The enhanced PFET sensors show high sensitivity and rapid response for lead ion detection in water.
- Strategies for minimizing device variation and understanding response kinetics are crucial for practical PFET sensor applications.

