NGQDs modified nanoporous TiO2/graphene foam nanocomposite for excellent sensing response to formaldehyde at high relative humidity
- Authors
- Shao, Shaofeng; Kim, Hyoun Woo; Kim, Sang Sub; Chen, Yunyun; Lai, Min
- Issue Date
- Jun-2020
- Publisher
- ELSEVIER
- Keywords
- NGQDs; TiO2; Graphene foam; HCHO detection; Sensors
- Citation
- APPLIED SURFACE SCIENCE, v.516, pp.1 - 13
- Indexed
- SCIE
SCOPUS
- Journal Title
- APPLIED SURFACE SCIENCE
- Volume
- 516
- Start Page
- 1
- End Page
- 13
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/1907
- DOI
- 10.1016/j.apsusc.2020.145932
- ISSN
- 0169-4332
- Abstract
- In the vast majority of early breathing detection, nano-semiconductor gas sensors were widely used due to their high sensing activity and a relatively simple manufacturing process. We developed a simple post-synthetic hydrothermal treatment to fabricate a novel 3-dimensional (3D) structure gas micro-sensor, in which Au modified nanoporous N doped graphene quantum dots (NGQDs)/TiO2 nanospheres were uniformly distributed throughout the graphene foam frameworks. The obtained graphene network-based nanoporous TiO2 gas micro-sensors with a high specific surface area provided a wealth of reaction sites for gas molecular diffusion and improve the response to target gas. The nanocomposites exhibited excellent gas-sensing performance toward ppb-level formaldehyde vapor by contrast gas detection, implying the application prospect in the aspect of breathing detection. More importantly, the graphene foam-based nanocomposites also presented outstanding selectivity and long-term stability. The excellent gas sensing properties were mainly attributed to the combination of NGQDs with TiO2 nanospheres, which indicated that the number of adsorbed oxygen and nano-heterojunction played an important role in enhancing the formaldehyde (HCHO) sensing performance of nanocomposites. Our work has updated a versatile synthesis strategy so that it can be programmed to design a broad series of nanoporous functional composites according to high sensing performance and general adaptability.
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