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NO[sub x] Sensing Characteristics of Mixed-Potential-Type Zirconia Sensor Using NiO Sensing Electrode at High Temperatures

Authors: Mitsunobu Nakatou; Perumal Elumalai; Masahara Hasei; Norio Miura; Jian Wang;
doi: 10.1149/1.1843731
NO[sub x] Sensing Characteristics of Mixed-Potential-Type Zirconia Sensor Using NiO Sensing Electrode at High Temperatures
Abstract
A stabilized-zirconia-based NO x sensor attached with oxide sensing-electrode (SE) was tested for the detection of NO x at temperatures higher than 800°C for car-emission control applications. Among various oxide SEs tested, NiO was found to give the highest sensitivity to NO 2 even at high temperatures. It was found that the sensor using NiO-SE showed quicker recovery in the presence of water vapor, compared with that in the dry sample gas. Electromotive force values of 57 and 75 mV were observed, respectively, under dry and wet (5 vol % water vapor) conditions with 400 ppm NO 2 at 850°C.
Related Organizations
- Kyushu University Japan
- Kyushu University Japan
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).65 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
65
Top 10%
Top 10%
Top 10%