Li Chun, Yu Lingmin, Fan Xinhui, Yin Mingli, Nan Ning, Cui Le, Ma Shuai, Li Yuan, Zhang Bo
School of Materials and Chemical Engineering, Xi'an Technological University Xi'an 710021 P. R. China
Shaanxi Key Laboratory of Comprehensive Utilization of Tailings Resources, Shangluo University Shangluo 72600 China.
RSC Adv. 2020 Jan 20;10(6):3319-3328. doi: 10.1039/c9ra07933e. eCollection 2020 Jan 16.
Nanowalls are novel nanostructures whose 3D porous network morphology holds great potential for applications as gas sensors. The realization of such a nanowall-based gas sensor depends directly on the comprehensive understanding of the growth mechanism of the nanowalls. We induced nucleation density and pore size evolution by increasing the dipping and growth times. The investigation indicates that the 3D porous ZnO nanowalls consist of a seed layer of ZnO nanoparticles and a growth layer of the vertically grown ZnO nanosheets. The seed layer nucleation density dominance is driven by the dipping time. The pore size and the height of the as-grown ZnO nanowalls are determined by varying the growth time. Possible growth mechanisms governing the physical characteristics of the synthesized ZnO nanostructures in the solution process are proposed and discussed. The gas sensor that was fabricated from the ZnO nanowall structure exhibited strong dependence on the microstructure, which was mainly determined by the preparation conditions.
纳米壁是一种新型纳米结构,其三维多孔网络形态在气体传感器应用方面具有巨大潜力。基于这种纳米壁的气体传感器的实现直接依赖于对纳米壁生长机制的全面理解。我们通过增加浸渍和生长时间来诱导成核密度和孔径演变。研究表明,三维多孔ZnO纳米壁由ZnO纳米颗粒的籽晶层和垂直生长的ZnO纳米片的生长层组成。籽晶层的成核密度优势由浸渍时间驱动。生长的ZnO纳米壁的孔径和高度通过改变生长时间来确定。提出并讨论了在溶液过程中控制合成的ZnO纳米结构物理特性的可能生长机制。由ZnO纳米壁结构制成的气体传感器对微观结构表现出强烈依赖性,微观结构主要由制备条件决定。