基于氧化锌的传感器对一氧化碳和二氧化氮的选择性监测。

CO and NO₂ Selective Monitoring by ZnO-Based Sensors.

作者信息

Hjiri Mokhtar, El Mir Lassaad, Leonardi Salvatore Gianluca, Donato Nicola, Neri Giovanni

机构信息

Laboratory of Physics of Materials and Nanomaterials Applied at the Environment, Faculty of Sciences, University of Gabes, Gabes 6072, Tunisia.

Department of Physics, College of Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11623, Saudi Arabia.

出版信息

Nanomaterials (Basel). 2013 Jul 5;3(3):357-369. doi: 10.3390/nano3030357.

DOI:10.3390/nano3030357

PMID:28348340

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5304650/

Abstract

ZnO nanomaterials with different shapes were synthesized, characterized and tested in the selective monitoring of low concentration of CO and NO₂ in air. ZnO nanoparticles (NPs) and nanofibers (NFs) were synthesized by a modified sol-gel method in supercritical conditions and electrospinning technique, respectively. CO and NO₂ sensing tests have demonstrated that the annealing temperature and shape of zinc oxide nanomaterials are the key factors in modulating the electrical and sensing properties. Specifically, ZnO NPs annealed at high temperature (700 °C) have been found sensitive to CO, while they displayed negligible response to NO₂. The opposite behavior has been registered for the one-dimensional ZnO NFs annealed at medium temperature (400 °C). Due to their adaptable sensitivity/selectivity characteristics, the developed sensors show promising applications in dual air quality control systems for closed ambient such as automotive cabin, parking garage and tunnels.

摘要

合成了不同形状的氧化锌纳米材料，并对其进行了表征，还测试了它们对空气中低浓度一氧化碳和二氧化氮的选择性监测性能。氧化锌纳米颗粒（NPs）和纳米纤维（NFs）分别通过超临界条件下的改进溶胶-凝胶法和静电纺丝技术合成。一氧化碳和二氧化氮传感测试表明，氧化锌纳米材料的退火温度和形状是调节其电学和传感性能的关键因素。具体而言，高温（700℃）退火的氧化锌纳米颗粒对一氧化碳敏感，而对二氧化氮的响应可忽略不计。对于在中温（400℃）退火的一维氧化锌纳米纤维，则观察到相反的行为。由于其具有适应性强的灵敏度/选择性特性，所开发的传感器在诸如汽车车厢、停车场和隧道等封闭环境的双空气质量控制系统中显示出有前景的应用。