Application of dual-frequency resonant RFID gas sensor based on ZnO/MoS₂/WO₃/rGO for indoor formaldehyde and ammonia detection.

IF 5.3 2区 化学 Q1 CHEMISTRY, ANALYTICAL
Fengjuan Miao, Fan Wu, Bairui Tao, Man Zhao
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引用次数: 0

Abstract

A dual-frequency passive radio frequency identification (RFID) gas sensor based on zinc oxide (ZnO)/molybdenum disulfide (MoS2)/tungsten trioxide (WO3)/reduced graphene (rGO) is proposed for indoor detection of formaldehyde and ammonia concentrations. The antenna model is designed on the antenna simulation software, and then, the antenna is made by the engraving mechanism. Nano-sensitive materials are prepared by the hydrothermal method to characterize the materials, and then, different combinations of materials are coated on both sides of the antenna to produce gas-sensitive sensors. The experimental results show that one frequency point of the sensor works in the range of formaldehyde concentration of 0.08-1.14 ppm, amplitude variation is 17.11 dB, linearity R2 = 0.97. The sensor operates at another frequency in the ammonia concentration range of 5-100 ppm, the amplitude changes to 12.7 dB, and the linearity R2 = 0.99. Compared with the previous gas sensors, the sensor has wide measuring range, high sensitivity, good selectivity, is lightweight and portable, and provides high anti-interference ability.

基于ZnO/MoS₂/WO₃/rGO的双频谐振式RFID气体传感器在室内甲醛和氨检测中的应用
提出了一种基于氧化锌(ZnO)/二硫化钼(MoS2)/三氧化钨(WO3)/还原石墨烯(rGO)的双频无源射频识别(RFID)气体传感器,用于室内甲醛和氨浓度的检测。在天线仿真软件上设计天线模型,然后通过雕刻机构制作天线。采用水热法制备纳米敏感材料对材料进行表征,然后在天线两侧涂覆不同的材料组合,制成气敏传感器。实验结果表明,该传感器的一个频率点工作在甲醛浓度为0.08 ~ 1.14 ppm的范围内,幅度变化为17.11 dB,线性度R2 = 0.97。在氨浓度5-100 ppm范围内,传感器工作在另一频率,振幅变化为12.7 dB,线性度R2 = 0.99。与以往的气体传感器相比,该传感器具有测量范围宽、灵敏度高、选择性好、轻便便携、抗干扰能力强等特点。
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来源期刊
Microchimica Acta
Microchimica Acta 化学-分析化学
CiteScore
9.80
自引率
5.30%
发文量
410
审稿时长
2.7 months
期刊介绍: As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.
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