at Google ScholarTitle data
Schönauer-Kamin, Daniela ; Wiesner, Kerstin ; Fleischer, Maximilian ; Moos, Ralf:
Selective Mixed Potential Ammonia Exhaust Gas Sensor.
In: Sensors and Actuators B: Chemical.
Vol. 140
(2009)
Issue 2
.
- pp. 585-590.
ISSN 0925-4005
DOI: https://doi.org/10.1016/j.snb.2009.04.064
Abstract in another language
Novel selective ammonia sensors with high potential for long-term stability in harsh exhaust environments are introduced. The sensor bases on the mixed potential effect. In contrast to common sensors, the electrode functionalities electrical conductivity, selective catalytic activity, and electrochemical activity combined with long-term stability are separated. For that reason, one of the two electrodes is covered by a well-known porous vanadia–tungstenia–titania-based SCR catalyst material, which has been developed for exhaust gas SCR applications. The resulting sensor signal depends semi-logarithmically on ammonia. The NOx cross-sensitivity is marginal. If enough oxygen is in the exhaust, the sensor signal is independent of the oxygen concentration. Tests downstream of an SCR catalyst show that very small ammonia slips can be determined.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos Research Institutions > Research Units > BERC - Bayreuth Engine Research Center Faculties Faculties > Faculty of Engineering Science > Chair Functional Materials Research Institutions Research Institutions > Research Units Profile Fields > Advanced Fields > Advanced Materials Research Institutions > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT Profile Fields Profile Fields > Advanced Fields Research Institutions > Research Centres |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 26 Jan 2015 09:39 |
| Last Modified: | 11 Apr 2016 09:02 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/5685 |