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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

High-performance microelectromechanical system (MEMS) oxygen sensors were realized by successful preparation of Au nanofilms over TiO2 thin films through successive sputtering on commercial MEMS microhotplates. Oxygen sensing performance of 3 and 6 nm thick Au over TiO2 thin films were compared with that of pure TiO2 thin films. It was shown that 6 nm thick Au over TiO2 thin films have the best sensitivity toward oxygen. The prepared TiO2 thin films were characterized using SEM, EDS, XPS, and a gas testing instrument. The results show that Au decoration has little influence on the surface morphologies of TiO2 thin films. However, Au decoration has a strong influence on the surface properties of the composite films. The favorable performance of 6 nm Au-doped TiO2 thin films is attributed to factors such as catalytical performance, height of Schottky contact, and number of oxygen vacancies. This work makes contributions to low power consumption and high-performance oxygen sensors for Internet of Things applications.

Details

Title
High-Performance MEMS Oxygen Sensors Based on Au/TiO2 Films
Author
Jiao, Mingzhi 1 ; Zhao, Xiaohu 2 ; He, Xinjian 3 ; Wang, Gang 2   VIAFID ORCID Logo  ; Zhang, Wei 4 ; Qian Rong 4 ; Nguyen, DucHoa 5 

 School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China; [email protected] (M.J.); ; State and Local Joint Engineering Laboratory of Perception Mine, China University of Mining and Technology, Xuzhou 221116, China; School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China 
 State and Local Joint Engineering Laboratory of Perception Mine, China University of Mining and Technology, Xuzhou 221116, China; School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China 
 School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China; [email protected] (M.J.); 
 Micro and Nano Sensing Corporation, Hefei 230001, China 
 International Training Institute of Materials Science, Hanoi University of Science and Technology, Hanoi 100000, Vietnam 
First page
476
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
22279040
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2869293821
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.