期刊
MICROELECTRONIC ENGINEERING
卷 236, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.mee.2020.111469
关键词
SnO2; Hydrothermal method; Morphology and nanostructure; Gas sensing properties; Gaseous ethanol; DFT
资金
- National Natural Science Foundation of China [61973058, 61833006, 61673367]
- Natural Science Foundation of Liaoning Province [2020-KF-11-04]
- National Key R&D Program of China [2019YFB2006001]
- Fundamental Research Funds for the Central Universities in China [N2004028, N180408018, N170405001, N180102032, N170407005]
- Liao Ning Revitalization Talents Program [XLYC1807198]
- CAST-BISEE Innovation Foundation [CAST-BISEE2019-007]
Experimental and theoretical investigations were conducted on the performance of SnO2 as a sensor of gaseous ethanol. It was found that SnO2 with hollow-sphere structured showed better sensing ability than other morphologies, with a response to ethanol gas approximately 68 times higher than other tested gases at an operating temperature of 330 degrees C. Density functional theory calculations supported a general mechanism describing the performance of the SnO2 sensor in the presence of gaseous ethanol, suggesting that SnO2-based nanostructured materials can be used in selective and efficient sensors of gaseous ethanol.
The performance of SnO2 as a sensor of gaseous ethanol was experimentally and theoretically investigated. SnO2 particles were synthesized via a hydrothermal method. A side-heated sensor was fabricated and its sensing properties for various vapors were experimentally tested. The influence of the nanostructure and morphology of SnO2 particles on their sensing ability was also investigated. The results suggest that hollow-sphere structured SnO2 has a better sensing performance than other morphologies. Under an operating temperature of 330 degrees C, the response of SnO2 to ethanol gas was found to be similar to 68 times higher than that of the other tested gases. Additionally, a general mechanism describing the performance of the SnO2 sensor in the presence of gaseous ethanol is presented, and supported by density functional theory (DFT) calculations to explore the electrical properties of bulk SnO2 and its (110) surface. It is suggested that SnO2-based nanostructured materials can be employed in selective and efficient sensors of gaseous ethanol.
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