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PPB级锆基安培型NO气体传感器性能的研究
引用本文:朱卫学,金涵,朱丽娜,张帆,简家文. PPB级锆基安培型NO气体传感器性能的研究[J]. 传感技术学报, 2015, 28(11): 1596-1601. DOI: 10.3969/j.issn.1004-1699.2015.11.004
作者姓名:朱卫学  金涵  朱丽娜  张帆  简家文
作者单位:宁波大学信息科学与工程学院,浙江宁波,315211
基金项目:国家自然科学基金,浙江省宁波市科技局自然科学基金
摘    要:采用丝网印刷技术制备了以In2O3为敏感电极的锆基安培型三电极NO传感器用以探测10-9级NO气体。用X射线衍射仪(XRD)和扫描电镜(SEM)对该传感器进行了理化分析;通过测量其在不同温度和不同NO浓度的气氛中的伏安特性曲线和时间响应曲线,研究了传感器的电流输出信号和NO浓度的关系以及时间响应特性。实验表明:在350℃~500℃测试温度范围内,极化电压为-60 mV,NO浓度变化为0~900×10-9时传感器响应电流的变化值Δcurrent和NO浓度之间存在较好的线性关系并且传感器在400℃时响应值最大。在被测气体总流量为100 cm3/min时,传感器信号90%的响应和恢复时间分别为18 s和12 s。传感器信号不受CO2浓度变化的影响,传感器的响应信号在测试时间里具有较好短期稳定性,但长期稳定性有待进一步提高。本文还采用阻抗谱分析方法对传感器的响应机理进行了初步的探索。

关 键 词:安培型NO传感器  ppb  时间响应曲线  敏感机理

Characteristics study of the zirconia-based amperometric gas sensors response to the PPB-level concentration of NO
Abstract:Amperometric NO sensor based on yttria-stabilized zirconia(YSZ)with In2O3sensing electrode was pre?pared by screen-printing technique to detect the ppblevel of NO. The physical characteristics of the sensor were studied by the X-ray diffraction(XRD)and scanning electron microscope(SEM).The sensitivity of the sensor was studied by measuring the current-voltagecurves and response/recovery time characteristics atdifferent NO concentra?tions and temperatures.The results show that,inthe range of 350℃~500℃and with the polarization voltage of-60 mV,there is a good linear relationship between the variation of the current change?currentand NO concentration , whilethe volume fraction of NO changes from 0 to 900 × 10-9.The sensor response best when the temperature is at 400℃. When the total gas flow rate is 100 cm3/min,the response and recovery time of the 90%signal of the sensors are respectively 18 s and 12 s. Sensor signal is not affected by changes in CO2 concentration;the response signal of the sensor has good short-term stability during the test timebutlong-term stability needs to be further improved. The response mechanism of the sensor has been explored by the AC impedance spectrum analysis method.
Keywords:amperometric NO sensors  ppb  time response curve  sensing mechanism
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