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Au纳米颗粒修饰的ZnSnO_(3)纳米立方体结构的制备及其气体传感器性能 被引量:2

Preparation of Au Nanoparticles Modified ZnSnO_(3) Nanocube Structures and Their Gas Sensor Performances
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摘要 采用沉淀法和化学还原法合成了金纳米颗粒(NP)修饰的ZnSnO_(3)纳米立方体结构(AuNP@ZnSnO_(3)),通过扫描电子显微镜(SEM)、透射电子显微镜(TEM)和X射线衍射仪(XRD)等表征手段对所合成的复合纳米结构进行了分析,并研究了基于该复合纳米材料的气体传感器对一氧化碳(CO)和甲烷(CH4)气体的气敏特性。同时,以树莓派Zero 2W为主控模块,设计了集成实时显示、网页显示和数据记录等功能的传感器测试系统,用于测试所制备的气体传感器性能。测试结果表明,相比于ZnSnO_(3)气体传感器,所制备的AuNP@ZnSnO_(3)气体传感器表现出更优异的气敏性能。在最佳工作温度(240℃)下,其对体积分数均为1×10^(-4)的CO和CH4气体响应度分别可达4.08和2.57,分别约为ZnSnO_(3)气体传感器响应度的1.59倍和1.71倍,并且具有较低的工作温度、良好的重复性以及长期稳定性。 The gold nanoparticles(NPs)modified ZnSnO_(3)nanocube structures(AuNPs@ZnSnO_(3))were synthesized by precipitation and chemical reduction methods.The synthesized composite nanostructures were analyzed by scanning electron microscope(SEM),transmission electron microscope(TEM)and X-ray diffractometer(XRD),and the gas sensors based on the composite nanomaterials were simultaneously applied to research gas sensing properties toward carbon monoxide(CO)and methane(CH4)gases.Meanwhile,with the Raspberry Pi Zero 2W as the main control module,a sensor test system integrating real-time display,webpage display and data recording functions was designed to test the performances of the prepared gas sensor.The test results show that compared with the ZnSnO_(3)gas sensor,the prepared AuNPs@ZnSnO_(3)gas sensor exhibits the better gas sensing performances.At the optimal operating temperature(240℃),its responsivities to CO and CH4 gases with the volume fractions of 1×10^(-4)can reach 4.08 and 2.57,respectively,which are about 1.59 and 1.71 times that of the ZnSnO_(3)gas sensor.And the prepared AuNPs@ZnSnO_(3)gas sensor has lower operating temperature,good repeatability and long-term stability.
作者 曹建盟 李君 孙永娇 王文达 胡杰 Cao Jianmeng;Li Jun;Sun Yongjiao;Wang Wenda;Hu Jie(Laboratory of Nano Energy and Devices,College of Information and Computer,Taiyuan University of Technology,Taiyuan 030024,China)
出处 《微纳电子技术》 CAS 北大核心 2023年第3期354-360,共7页 Micronanoelectronic Technology
基金 国家自然科学基金(62171308,61904122) 山西省回国留学人员科研教研资助项目(2022-070,2022-071)。
关键词 气体传感器 纳米颗粒(NP) 纳米立方体结构 气敏性能 ZnSnO_(3) 沉淀法 gas sensor nanoparticle(NP) nanocube structure gas sensing performance ZnSnO_(3) precipitation method
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