煅烧
纳米纤维
静电纺丝
材料科学
比表面积
化学工程
多孔性
管式炉
纳米颗粒
选择性
微观结构
纳米技术
反应性(心理学)
催化作用
聚合物
复合材料
化学
有机化学
病理
工程类
替代医学
医学
作者
Jia Liu,Wei Wang,Gang Li,Xiaobing Bian,Yumeng Liu,Jinniu Zhang,Jianzhi Gao,Chunlan Wang,Benpeng Zhu,Hongbing Lu
标识
DOI:10.1016/j.jallcom.2022.167950
摘要
Metal–organic framework (MOF)-derived CuO microstructures suffer from low specific surface area and poor surface reactivity due to the severe agglomeration during calcination, which restricts their sensing response and reaction kinetics as gas sensors, especially at room-temperature (RT) manipulation. In this study, one-dimensional (1D) porous CuO tube-like nanofibers (TNFs) were constructed using a MOF approach combined with an electrospinning technique. The CuO TNFs displayed 1D hollow tubular structure with numerous cavities on the tube walls. In particular, these MOF-derived CuO TNFs interlaced with each other, forming a 3D netlike nanofiber structure with good anti-aggregation property. Compared with the MOF-derived CuO nanoparticles (NPs), the CuO TNFs had much better NO2 sensing characteristics in terms of great response (27.9-fold improvement @ 500 ppb), fast response/recovery rate, and high selectivity at RT (25 °C). The CuO TNFs also displayed reliable repeatability and good antihumidity. Sensing measurements under various oxygen partial pressures identified that Oads resulted in a decreased Ra, and had a negative effect on the improvement of NO2 response of CuO TNFs. The enhanced NO2 gas sensing properties of CuO TNFs were ascribed to their unique tube-like nanofiber network structure, high specific surface area, abundant porosities, and low activation energy.
科研通智能强力驱动
Strongly Powered by AbleSci AI