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NiO纳米纤维掺杂SnO_(2)检测液态甲醛的机理和性能 被引量:1

Mechanism and Performance of NiO Nanofibers Doped with SnO_(2) for Detecting Liquid Formaldehyde
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摘要 NiO是检测甲醛(HCHO)的重要半导体材料。为了提高NiO的导电性和对甲醛检测的灵敏度,采用静电纺丝工艺制备NiO纳米纤维(NF)和SnO_(2)/NiO NF。利用场发射扫描电子显微镜(FESEM)和X射线衍射仪(XRD)对纳米材料分别进行形貌表征和成分分析。使用线性循环伏安法和电化学阻抗谱(EIS)等电化学方法对NiO NF和SnO_(2)/NiO NF进行电化学分析和机理研究。实验结果表明,由SnO_(2)/NiO NF制备的电化学传感器具有较高的检测灵敏度(75.29μA·mmol·L^(-1)·cm^(-2))和较低的检测限(0.039 mmol·L^(-1))。因此掺杂SnO_(2)提升了NiO NF对甲醛的检测性能,使该传感器有了广阔的应用前景。 NiO is an important semiconductor material for detecting formaldehyde(HCHO).To improve the conductivity of NiO and sensitivity of NiO for HCHO detection, NiO nanofibers(NFs) and SnO_(2)/NiO NFs were prepared by the electrospinning process.The morphology characterization and composition analysis of nanomaterials were carried out by field emission scanning electron microscope(FESEM) and X-ray diffractometer(XRD),respectively.Then electrochemical analysis and mechanism study of NiO NFs and SnO_(2)/NiO NFs were carried out using electrochemical methods such as linear cyclic voltammetry and electrochemical impedance spectroscopy(EIS).The experimental results show that the electrochemical sensor prepared by SnO_(2)/NiO NFs has higher detection sensitivity(75.29 μA·mmol·L^(-1)·cm^(-2)) and lower detection limit(0.039 mmol·L^(-1)). Therefore, doping SnO_(2) improves the detection performance of NiO NFs for HCHO,which makes the sensor has a wide range of application prospects.
作者 侯伟 王俊和 程永强 禚凯 李艳萍 Hou Wei;Wang Junhe;Cheng Yongqiang;Zhuo Kai;Li Yanping(Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shansci Province,Micro-Nano System Research Center,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 2021年第7期578-583,645,共7页 Micronanoelectronic Technology
基金 山西省高校科技创新项目(201802029) 山西省应用基础研究项目(201801D121146) 山西省奖学金理事会资助项目(HGKY2019026) 山西省国际科技合作项目(201903D421044)。
关键词 静电纺丝 纳米纤维(NF) SnO_(2)/NiO 电化学分析 检测限 electrospinning nanofiber(NF) SnO_(2)/NiO electrochemical analysis detection limit
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