An Ultra-Sensitive and Recyclable FET-Type Toxic Gas Sensor Based on WTe2 Monolayer

Abstract

Field-effect-transistor (FET)-type gas sensors have attracted a surge of research interest due to their low power dissipation and exceptional sensitivity. However, theoretical explorations into their sensing capability and underlying mechanism remain scare. Herein, taking the monolayer pure and defective WTe2 as the sensing platforms, we systematically investigate the sensing characteristics and working principles of FET-type gas sensors in response to various hazardous gases, including SO2, CO, NO, NH3, and NO2, using first-principles calculations and statistical thermodynamic modeling. Our findings reveal that the pure WTe2-based FET-type gas sensor, operating at zero gate voltage, shows remarkably high sensitivity and reusability for NO2 detection, achieving a 96% sensitivity at a low concentration of 20 ppb. Our research demonstrates that the introduction of Te-vacancies serves as a highly efficient strategy for enhancing the sensitivity of the gas sensor towards all tested toxic gases, while ensuring its reusability. Applying a gate voltage to the pure WTe2-based FET-type gas sensor further improves its sensitivity to NO2, surpassing 90% within the whole bias range, and reaching 97% under the gate voltage of 3 V. This improvement is attributed to the upward shift of the conduction bands under a positive gate voltage with respect to the chemical potential of the source, which increases the electron barrier and decreases the conductance. Our research offers a promising approach for achieving ultra-sensitive and recyclable detection of toxic gases at ppb-level concentration.

Supplementary files

Article information

Article type
Paper
Submitted
21 Apr 2024
Accepted
03 Sep 2024
First published
04 Sep 2024

J. Mater. Chem. A, 2024, Accepted Manuscript

An Ultra-Sensitive and Recyclable FET-Type Toxic Gas Sensor Based on WTe2 Monolayer

M. Dong, H. He, M. Zhao, C. Wang and X. Fu, J. Mater. Chem. A, 2024, Accepted Manuscript , DOI: 10.1039/D4TA02739F

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