Back to Search
Start Over
Self-powered room temperature NO2 detection driven by triboelectric nanogenerator under UV illumination
- Source :
- Nano Energy. 47:316-324
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- The triboelectric nanogenerator (TENG) driven self-powered gas sensor has been developed for room temperature nitrogen dioxide (NO2) detection under UV illumination (365 nm). Powered by TENG, the concentration of NO2 can be spontaneously detected via chemoresistive gas sensor based on Zinc Oxide-Reduced graphene oxide (ZnO-RGO) hybrid films, where the voltage drop across the interdigital electrodes (IDEs) has a proportional relationship with NO2 concentration. The self-powered triboelectric gas sensor (TGS) composed by ZnO-RGO composite films exhibit superior response (~ 16.8) and sensitivity as well as selectivity than that for pure ZnO film. With respect to selectivity, the response of ZnO-RGO composite film based TGS to NO2 was at least 49-fold higher than those for other gases. Furthermore, through a signal processing circuit, a self-powered NO2 gas alert system was developed for real-time monitoring the ambient NO2 concentration. This work not only promotes the applicability of TENGs as self-powered sensors but also pushes forwards the active sensing network node for environmental monitoring by harvesting ambient energy.
- Subjects :
- Materials science
Renewable Energy, Sustainability and the Environment
business.industry
Graphene
Composite number
Oxide
Nanogenerator
02 engineering and technology
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
0104 chemical sciences
law.invention
chemistry.chemical_compound
chemistry
law
Electrode
Optoelectronics
General Materials Science
Nitrogen dioxide
Electrical and Electronic Engineering
0210 nano-technology
business
Voltage drop
Triboelectric effect
Subjects
Details
- ISSN :
- 22112855
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- Nano Energy
- Accession number :
- edsair.doi...........593322e975b31c82218a41bef7529a15
- Full Text :
- https://doi.org/10.1016/j.nanoen.2018.02.031