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Investigation of Ammonia-sensing Mechanism on Polypyrrole Gas Sensor Based on Experimental and Theoretical Evidence

机译:基于实验和理论证据的聚吡咯气体传感器氨感测量机制研究

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摘要

Ammonia is an air pollutant and the understanding of the ammonia-sensing mechanism is valuable for developing new gas sensors. In this study, polypyrrole (PPy) nanosheets were synthesized by low-temperature oxidation polymerization in a water bath at 0 °C. An ammonia sensor based on the PPy nanosheets was prepared and tested with an ammonia concentration range of 2-500 ppm. The tested results demonstrate that the PPy sensor exhibited excellent ammonia sensitivity and selectivity at room temperature (RT). The sensitivity to ammonia was 1.029 at 2 ppm and 2.153 at 500 ppm. The adsorption behaviors of PPy to different analytes (ammonia, acetone, formaldehyde, and benzene) were simulated and investigated by density functional theory (DFT). The calculated results show that the adsorption energy of ammonia was 0.433 |eV|, which is much larger than that of the other analytes. Furthermore, the charge transfer and the changes in the bond length and angle were carefully compared between different adsorption systems. The calculation results were consistent with our experimental evidence, which demonstrated that the PPy sensor has the highest adsorption capacity for ammonia among the four analytes. The ammonia-sensing mechanism on the PPy sensor was proved from the calculation results obtained by DFT and will support the development of new advanced gas sensors.
机译:氨是一种空气污染物,对氨感测机制的理解对于开发新的气体传感器是有价值的。在该研究中,通过在0℃的水浴中的低温氧化聚合来合成聚吡咯(PPY)纳米片。制备基于PPY纳米片的氨传感器,并用氨浓度范围的2-500ppm进行测试。测试结果表明,PPY传感器在室温(RT)上表现出优异的氨敏感性和选择性。对氨的敏感性为1.029,在2ppm下为2.029,500ppm为2.153。模拟和研究了PPY对不同分析物(氨,丙酮,甲醛和苯)的吸附行为,并通过密度函数理论(DFT)研究。计算结果表明,氨的吸附能量为0.433 |,远大于其他分析物的吸附能量。此外,在不同的吸附系统之间比较电荷转移和键长和角度的变化。计算结果与我们的实验证据一致,这证明了PPY传感器在四种分析物中具有最高的吸附能力。从DFT获得的计算结果证明了PPY传感器上的氨感测量机制,并将支持新的高级气体传感器的开发。

著录项

  • 来源
    《Sensors and materials》 |2021年第4期|1443-1454|共12页
  • 作者单位

    College of Mechanical and Electronic Engineering Dalian Minzu University Dalian 116600 China;

    College of Mechanical and Electronic Engineering Dalian Minzu University Dalian 116600 China;

    Laboratory of High Pressure Physics and Material Science School of Physics and Physical Engineering Qufu Normal University Qufu 273165 China;

    College of Information and Communication Engineering Dalian Minzu University Dalian 116600 China;

    Faculty of Information Science Ningbo University Ningbo 315020 China;

    College of Mechanical and Electronic Engineering Dalian Minzu University Dalian 116600 China;

    Faculty of Information Science Ningbo University Ningbo 315020 China;

    College of Mechanical and Electronic Engineering Dalian Minzu University Dalian 116600 China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ammonia-sensing properties; gas-sensing mechanism; selectivity; density functional theory;

    机译:氨感化特性;气体传感机制;选择性;密度泛函理论;

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