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Understanding and Mapping Sensitivity in MoS2 Field-Effect-Transistor-Based Sensors.
Steven G Noyce1, James L Doherty1, Stefan Zauscher2
1Department of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.
ACS Nano
|August 14, 2020
Summary
Two-dimensional field-effect transistor (FET) sensors show hotspots and nonuniform sensitivity. Analyte positioning and charge significantly impact signal-to-noise ratio (SNR), crucial for optimizing these sensitive biosensors.
Area of Science:
- Materials Science
- Nanotechnology
- Sensor Technology
Background:
- Two-dimensional (2D) field-effect transistors (FETs) offer high sensitivity for detecting charged analytes.
- Understanding operating mechanisms and signal-to-noise ratio (SNR) factors in 2D FET sensors is crucial for progress.
Purpose of the Study:
- To elucidate sensing mechanisms in 2D molybdenum disulfide (MoS2) FETs.
- To investigate the impact of analyte position and charge on sensor performance and SNR.
- To develop a predictive model for optimizing 2D FET sensor design.
Main Methods:
- Utilized a customized atomic force microscope (AFM) to precisely control analyte position and charge.
- Performed detailed characterization of MoS2 FETs under varying analyte conditions.
- Developed and validated a numerical model for FET-based charge-detection sensors.
Main Results:
- Identified nonuniform channel sensitivity with stable "hotspots" in MoS2 FETs.
- Observed an asymmetry in drain-current response based on analyte charge, enhancing SNR by 2.5x when turning the device off.
- Discovered three distinct SNR peaks dependent on sensor layout and operating conditions.
Conclusions:
- Analyte position and coverage are critical for maximizing sensitivity in 2D FET sensors.
- The developed numerical model confirms experimental findings and explains underlying mechanisms.
- Insights provide a foundation for improved future 2D FET sensor design and operational control.
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