摘要
High-performance and low-cost gas sensors are highly desirable and involved in industrial production and environmental detection.The combination of highly conductive MXene and metal oxide materials is a promising strategy to further improve the sensing performances.In this study,the hollow SnO_(2)nanospheres and few-layer MXene are assembled rationally via facile electrostatic synthesis processes,then the SnO_(2)/Ti_(3)C_(2)T_(x)nanocomposites were obtained.Compared with that based on either pure SnO_(2)nanoparticles or hollow nanospheres of SnO_(2),the SnO_(2)/Ti_(3)C_(2)T_(x)composite-based sensor exhibits much better sensing performances such as higher response(36.979),faster response time(5 s),and much improved selectivity as well as stability(15 days)to 100ppm C2H5OH at low working temperature(200°C).The improved sensing performances are mainly attributed to the large specific surface area and significantly increased oxygen vacancy concentration,which provides a large number of active sites for gas adsorption and surface catalytic reaction.In addition,the heterostructure interfaces between SnO_(2)hollow spheres and MXene layers are beneficial to gas sensing behaviors due to the synergistic effect.
基金
This work is supported partially by the project of the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(Nos.LAPS21004,LAPS202114)
National Natural Science Foundation of China(Nos.52272200,51972110,52102245 and 52072121)
Beijing Science and Technology Project(No.Z211100004621010)
Beijing Natural Science Foundation(Nos.2222076,2222077)
Hebei Natural Science Foundation(No.E2022502022)
Huaneng Group Headquarters Science and Technology Project(No.HNKJ20-H88)
2022 Strategic Research Key Project of Science and Technology Commission of the Ministry of Education,China Postdoctoral Science Foundation(No.2022M721129)
the Fundamental Research Funds for the Central Universities(Nos.2022MS030,2021MS028,2020MS023,2020MS028)
the NCEPU“Double First-Class”Program.This research was also supported by Brain Pool program funded by the Ministry of Science and ICT through the National Research Foundation of Korea(No.2021H1D3A2A01100019).
