Enhanced room temperature ammonia response of 2D-Ti3C2T MXene decorated with Ni(OH)2 nanoparticles
Autor: | Zetao Zhu, Yong He, Xuezheng Guo, Xia Sun, Yanqiao Ding, Zhilin Wu, Luwen Zhang, Delin Kuang, Yangyang Zhou |
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Rok vydání: | 2021 |
Předmět: |
010302 applied physics
Materials science Fabrication Temperature sensitivity Process Chemistry and Technology Nanoparticle Heterojunction 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Surfaces Coatings and Films Electronic Optical and Magnetic Materials Ammonia chemistry.chemical_compound chemistry Chemical engineering 0103 physical sciences Materials Chemistry Ceramics and Composites Relative humidity 0210 nano-technology Selectivity Hybrid material |
Zdroj: | Ceramics International. 47:19471-19480 |
ISSN: | 0272-8842 |
DOI: | 10.1016/j.ceramint.2021.03.284 |
Popis: | Due to the expansion of human production activities, toxic ammonia (NH3) is excessively released into the atmosphere, being a huge threat to human health and the natural environment. Therefore, it is of great significance to design an easy-synthesized gas-sensing material with both good room temperature sensitivity and selectivity for trace-level NH3 detection. Herein, we fabricate a chemiresistive NH3 gas sensor with enhanced performance based on Ni(OH)2/Ti3C2Tx hybrid materials. The Ni(OH)2/Ti3C2Tx hybrid materials are synthesized by an in-situ electrostatic self-assembly method. Attributed to the formation of interfacial heterojunctions and the modulation of carrier density, the Ni(OH)2/Ti3C2Tx hybrid sensor exhibits high response, outstanding repeatability, good selectivity and stability in low concentrations of NH3. Moreover, the Ni(OH)2/Ti3C2Tx hybrid sensor has a higher response to 10 ppm NH3 at the relative humidity of 40% and 60%, which makes it promising for applications in real complex environments with high humidity. Benefitting from the low power consumption and easy fabrication process, the Ni(OH)2/Ti3C2Tx hybrid sensor possesses a broad application prospect in the internet of things (IoT) environmental monitoring. |
Databáze: | OpenAIRE |
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