铜掺杂氧化锌纳米纤维宽线性响应乙醇气体传感器
发布时间:2018-08-23 10:35
【摘要】:采用电纺丝技术结合高温煅烧制备了铜掺杂氧化锌复合纳米纤维,并通过XRD,XPS,SEM和TEM等手段对材料进行表征.将所得材料作为敏感层构筑了气体传感器,器件对乙醇蒸气具有很好的传感特性,特别是当Cu/Zn摩尔比为1∶60时,由于Cu组分的活化作用,所得传感器不仅具有高灵敏度、快速响应恢复(2 s/7 s)特性及优良的稳定性,而且在5~104μg/g超大乙醇蒸气浓度范围内都能保持良好的线性关系(R2=0.99),这不仅有利于乙醇实际检测,而且对宽响应范围及高灵敏传感器的发展具有重要意义.
[Abstract]:The copper-doped zinc oxide nanofibers were prepared by electrospinning and calcination at high temperature. The materials were characterized by XRDI XPS SEM and TEM. The gas sensor was constructed by using the material as a sensitive layer. The sensor has good sensing characteristics for ethanol vapor, especially when the molar ratio of Cu/Zn is 1:60, the sensor not only has high sensitivity due to the activation of Cu component. The fast response recovery (2 s / 7 s) characteristics and excellent stability can maintain a good linear relationship within the range of 5 渭 g / g ethanol vapor concentration (R2N 0.99), which is not only beneficial to the actual detection of ethanol. And it is of great significance to the development of wide response range and high sensitivity sensor.
【作者单位】: 吉林工业职业技术学院机电系;哈尔滨工业大学市政环境工程学院城市水资源水环境国家重点实验室;吉林大学化学学院麦克德尔米德实验室;
【基金】:国家自然科学基金(批准号:21304024)资助~~
【分类号】:TP212;TQ223.122
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本文编号:2198815
[Abstract]:The copper-doped zinc oxide nanofibers were prepared by electrospinning and calcination at high temperature. The materials were characterized by XRDI XPS SEM and TEM. The gas sensor was constructed by using the material as a sensitive layer. The sensor has good sensing characteristics for ethanol vapor, especially when the molar ratio of Cu/Zn is 1:60, the sensor not only has high sensitivity due to the activation of Cu component. The fast response recovery (2 s / 7 s) characteristics and excellent stability can maintain a good linear relationship within the range of 5 渭 g / g ethanol vapor concentration (R2N 0.99), which is not only beneficial to the actual detection of ethanol. And it is of great significance to the development of wide response range and high sensitivity sensor.
【作者单位】: 吉林工业职业技术学院机电系;哈尔滨工业大学市政环境工程学院城市水资源水环境国家重点实验室;吉林大学化学学院麦克德尔米德实验室;
【基金】:国家自然科学基金(批准号:21304024)资助~~
【分类号】:TP212;TQ223.122
,
本文编号:2198815
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