基于La_(0.75)Sr_(0.25)Mn_(0.5)Co_(0.5)O_(3-δ)敏感电极的阻抗谱型NO_2传感器的研究  被引量:4

Investigation on Impedencemetric-type NO_2 Sensor Based on La_(0.75)Sr_(0.25)Mn_(0.5)Co_(0.5)O_(3-δ) Sensing Electrode

在线阅读下载全文

作  者:郝增川[1] 王岭[1] 戴磊[1] 崔广华[1] 李跃华[1] 

机构地区:[1]河北理工大学化工与生物技术学院,唐山063009

出  处:《无机材料学报》2011年第5期523-528,共6页Journal of Inorganic Materials

基  金:国家自然科学基金(50772030,50972038)~~

摘  要:利用浸渍技术在多孔YSZ中制备了钙钛矿型纳米颗粒材料La0.75Sr0.25Mn0.5Co0.5O3-δ(LSCM),并以其为敏感电极,YSZ为固体电解质组成了阻抗谱型NO2传感器.使用XRD和SEM研究了传感器敏感电极的相组成和微观结构.XRD分析结果表明,经前驱体溶液浸渍和热处理后,在YSZ多孔层中生成了钙钛矿结构的LSCM.扫描电镜分析表明敏感电极颗粒粒径为50~100nm,且与YSZ多孔层结合紧密.传感器敏感性能实验结果表明,在温度范围为450~600℃,NO2浓度范围为0~1000μL/L时,传感器对NO2有良好的敏感性,频率为0.1Hz时的总阻值与NO2的浓度之间呈良好的线性关系.在气体流速为400mL/min时,获得的传感器对NO2的真实响应时间约为40s,且响应信号稳定.传感器对O2和CO2具有良好的抗干扰性能.The perovskite nanoparticle materials Lao.75Sr0.25Mno.sCoo.503.a were prepared in YSZ porous layer by in filtration technology. An impedancemetric-type NO2 sensor was prepared with the nanoparticle materials as sensing electrode and YSZ as solid state electrolyte. The crystalline phase and microstructure of sensing electrode in the NO2 sensor were investigated by XRD and SEM. The result of XRD indicated that perovskite LSCM was obtained in po- rous YSZ after infiltrating precursor solution and heat-treatment. SEM analysis demonstrated that the grain size of LSCM was 50-100 nm, and the LSCM nanoparticles were closely incorporated with YSZ frames in porous layer. The sensing characteristics of the present device were also investigated at 450-600℃. The results suggested that the sensor showed preferential sensitivity to NO2 with NO2 concentration from 0 to 1000μL/L. When frequency was fixed at 0.1 Hz, the total impedance of the sensor changed almost linearly with NO2 concentration. The real response time of the sensor to NO2 gas was around 40s at gas flow rate of 400mL/min. It is also found that the response of sensor is stable at given time and the sensor has good anti-interference to O2 and CO2.

关 键 词:钙钛矿 NO2传感器 YSZ 阻抗 

分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象