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Synergistic enhancement in the sensing performance of a mixed-potential NH3 sensor using SnO2@CuFe2O4 sensing electrode
被引:47
作者:
Bhardwaj, Aman
[1
]
Kumar, Aniket
[1
]
Sim, Uk
[1
]
Im, Ha-Ni
[1
]
Song, Sun-Ju
[1
]
机构:
[1] Chonnam Natl Univ, Sch Mat Sci & Engn, Gwangju 61186, South Korea
来源:
SENSORS AND ACTUATORS B-CHEMICAL
|
2020年
/
308卷
/
308期
基金:
新加坡国家研究基金会;
关键词:
Ammonia (NH3) sensor;
Yttria-stabilized zirconia (YSZ);
Copper ferrite (CuFe2O4);
Electrochemical impedance spectroscopy (EIS);
Polarization (I-V) curves;
Mixed-potential theory;
SELECTIVE CATALYTIC-REDUCTION;
STABILIZED ZIRCONIA;
AMMONIA SENSOR;
GAS SENSOR;
SINTERING TEMPERATURE;
UREA-SCR;
NANOCOMPOSITE;
CUFE2O4;
NOX;
NANOPARTICLES;
D O I:
10.1016/j.snb.2020.127748
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
A mixed-potential type NH3 sensor equipped with CuFe2O4 and SnO2@CuFe2O4 sensing electrode is presented. The CuFe(2)O(4)spinel-oxide and SnO2@CuFe2O4 composites were synthesized by a modified-Pechini route. The electrode materials were characterized for the physical properties by powder X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Scanning electron microscopy (SEM) and Energy dispersive spectroscopy (EDS) analysis. It was found that the sensing characteristics were critically dependent on the extent of Triple-phase boundary (TPB) lengths and operating conditions of the sensor. Furthermore, the sensing performance of CuFe2O4 spinel-oxide was enhanced by compositing with SnO2 nanocrystals resulting in a synergistically enhanced response (Delta V) of - 40 mV towards 80 ppm NH3, almost double and quadruple of the response of bare CuFe2O4 and SnO2 electrodes at 650 degrees C, respectively. The sensor also displayed excellent stability towards oxygen and humidity variations, along with low cross-sensitivities towards interfering gases; e.g. NO, CO, CH4, and NO2. The complex impedance spectra (EIS) and dc polarization (I-V) measurements were performed for an insightful analysis of the sensing mechanism conforming to the mixed-potential model.
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页数:12
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