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Published on: November 15, 2016
Highly selective NH3 gas sensor based on Co(OH)2/Ti3C2T nanocomposites operating at room temperature
Bo Huang1, Zhihua Zhao2, Pu Chen1
1College of Materials Science and Engineering, Zhengzhou University Zhengzhou 450052 China.
A novel ammonia (NH3) gas sensor using a Co(OH)2/Ti3C2Tx hybrid material demonstrates significantly enhanced sensitivity and selectivity. This development offers improved health monitoring for kidney disease and air quality applications.
Area of Science:
- Materials Science
- Chemical Engineering
- Environmental Science
Background:
- Ammonia (NH3) is a critical air pollutant and a key biomarker for kidney disease.
- Developing highly sensitive, selective, and low-operating-temperature ammonia gas sensors is vital for public health and environmental monitoring.
- Existing sensor technologies often face limitations in performance and operational conditions.
Purpose of the Study:
- To create a chemoresistive gas sensor utilizing a novel Co(OH)2/Ti3C2Tx hybrid material.
- To evaluate the gas sensing properties of the fabricated sensor for ammonia detection.
- To assess the potential of this hybrid material for health protection and IoT applications.
Main Methods:
- Synthesis of Co(OH)2/Ti3C2Tx hybrid material using in situ electrostatic self-assembly.
- Characterization of material structure, surface topography, and elemental composition via XRD, XPS, TEM, and BET.
- Fabrication of chemoresistive sensors and testing of ammonia gas sensing performance under various conditions.
Main Results:
- The Co(OH)2/Ti3C2Tx hybrid sensor (C/M-2) achieved a gas response of 14.7% at 100 ppm NH3, which is three times higher than pure Ti3C2Tx.
- The sensor demonstrated high sensitivity at low ammonia concentrations (<5 ppm).
- Excellent repeatability, fast response (29 s) and recovery (49 s) times, and long-term stability were observed.
Conclusions:
- The Co(OH)2/Ti3C2Tx hybrid material significantly enhances ammonia gas sensing performance compared to pure Ti3C2Tx.
- The developed sensor exhibits promising characteristics for effective ammonia detection in health monitoring and IoT systems.
- The in situ electrostatic self-assembly method is effective for creating advanced gas sensing materials.
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