摘要
微波气体传感是一种可实现高灵敏度室温VOC检测的有效方案,需要对气敏材料制备技术和微波检测电极设计进行综合研究以进一步提升其检测性能。文中基于静电纺丝技术制备了一维纳米材料ZnO,并使用HCl-LiF刻蚀法制备了二维无机化合物MXene,之后采用溶剂热法获得了MXene与ZnO的复合材料。此外,设计了一种新型微波嵌套式分裂环谐振器阵列,4个阵列谐振单元相互独立,在3~6 GHz之间产生4个独立的气体表征点。通过改变MXene与ZnO的质量比,研究了纳米复合材料对丙酮气体的检测性能。测试结果表明,ZnO的引入提高了MXene对丙酮气体的检测灵敏度,可实现对10~500 ppm丙酮气体浓度的高灵敏度检测。当敏感材料MXene∶ZnO=1∶12时,该传感器具有最高的检测灵敏度1.117 mdB/ppm。
Microwave gas sensing is an effective scheme to achieve high sensitivity room temperature VOC detection.It is necessary to conduct comprehensive research on the preparation technology of gas-sensitive materials and the design of microwave detection electrodes to further improve its detection performance.In this paper,one-dimensional nano-material ZnO was prepared based on electrospinning technology,and the two-dimensional inorganic compound MXene was prepared by the HCl-LiF etching method.Then,MXene and ZnO composites were obtained by the solvothermal method.In addition,a new microwave nested splitring resonator array was designed,in which four array resonant units were independent of each other and four independent gas characterization points between 3~6 GHz were produced.By changing the mass ratio of MXene to ZnO,the detection performance of the nano-composite for acetone gas was studied.The test results show that the introduction of ZnO improves the detection sensitivity of MXene for acetone gas,and can achieve high sensitivity detection of 10~500 ppm acetone gas concentration.The sensor has the highest detection sensitivity of 1.117 mdB/ppm when the sensitive material MXene∶ZnO=1∶12.
作者
江世鹏
张继豪
李明钰
王琮
梁峻阁
顾晓峰
JIANG Shipeng;ZHANG Jihao;LI Mingyu;WANG Cong;LIANG Junge;GU Xiaofeng(Engineering Research Center of IoT Technology Applications,Ministry of Education,Department of Electronic Engineering,Jiangnan University,Wuxi 214122,China;Department of Physics,School of Science,Wuhan University of Technology,Wuhan 430070,China;Department of Microwave Engineering,School of Electronic and Information Engineering,Harbin Institute of Technology,Harbin 150001,China)
出处
《仪表技术与传感器》
CSCD
北大核心
2023年第8期20-25,30,共7页
Instrument Technique and Sensor