Journal
ACS APPLIED MATERIALS & INTERFACES
Volume 12, Issue 18, Pages 20704-20713Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.0c04398
Keywords
tin dioxide; porous film; oxygen vacancy; room temperature; gas sensor
Funding
- National Natural Science Foundation of China [61971252, 51972182]
- Shandong Provincial Science Foundation [ZR2019BF008, ZR2017JL021]
- Key Research and Development Program [2018GGX102033]
- Young Innovation Team Project of Shandong Provincial Education Department [2020KJN015]
- Qingdao Applied Fundamental Research Project [19-6-2-71-cg]
Ask authors/readers for more resources
Detection of volatile organic compounds (VOCs) at room temperature (RT) currently remains a challenge for metal oxide semiconductor (MOS) gas sensors. Herein, for the first time, we report on the utilization of porous SnO2 thin films for RT detection of VOCs by defect engineering of oxygen vacancies. The oxygen vacancies in the three-dimensional-ordered SnO2, thin films, prepared by a colloidal template method, can be readily manipulated by thermal annealing at different temperatures. It is found that oxygen vacancies play an important role in the RT sensing performances, which successfully enables the sensor to respond to triethylamine (TEA) with an ultrahigh response, for example, 150.5-10 ppm TEA in a highly selective manner. In addition, the sensor based on oxygen vacancy-rich SnO2 thin films delivers a fast response and recovery speed (53 and 120 s), which can be further shortened to 10 and 36 s by elevating the working temperature to 120 degrees C. Notably, a low detection limit of 110 ppb has been obtained at RT. The overall performances surpass most previous reports on TEA detection at RT. The outstanding sensing properties can be attributed to the porous structure with abundant oxygen vacancies, which can improve the adsorption of molecules. The oxygen vacancy engineering strategy and the on-chip fabrication of porous MOS thin film sensing layers deliver great potential for creating high-performance RT sensors.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available