仿生分级结构NiO纳米线/纳米纤维的可控制备及光催化性能

Preparation of Bio-inspired NiO Nanowires /nanofibers Hierarchical Structures and Their Photocatalytic Properties

采用静电纺丝技术和"自下而上"的溶液相自组装技术,制备了具有仿生主次分级结构的三维NiO纳米线/纳米纤维.采用扫描电子显微镜(SEM)、X射线衍射仪(XRD)和比表面积分析仪分别对其形貌、晶型和孔结构进行了表征.以水体中的有色染料亚甲基蓝为模型污染物,研究了分级结构NiO纳米线/纳米纤维的光催化性能.结果表明,在180 min内,以分级结构NiO为催化剂时,亚甲基蓝的降解率达到了97%,分别是以纳米纤维和纳米粒子为催化剂时的1.24倍和2.16倍.

Novel NiO nanowires /nanofibers( NWNFs) hierarchical structures were fabricated employing bottom-up strategy and electrospinning method. The synthesized hierarchical structures were characterized by scanning electron microscopy( SEM),X-ray diffraction( XRD) and nitrogen adsorption-desorption analysis methods. The catalytic efficiency of the NiO nanomaterials developed was evaluated by the photocatalytic degradation of methyleneblue( MB). In comparison with sphere-like and fiber-like structures,the photocatalytic removal rate of MB remains above 97% on the hierarchical NiO NWNFs catalyst under ultraviolet light irradiation for 180 min,which is 1. 24 times and 2. 16 times that of pure NiO fibers and nanoparticals,respectively.The NiO hierarchical structures show an excellent ability to degrade rapidly a MB pollutant,which may be attributed to its unique hierarchical and porous surface structures.