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首页> 外文期刊>Nanotechnology >Cellulose nanofiber-templated three-dimension TiO2 hierarchical nanowire network for photoelectrochemical photoanode
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Cellulose nanofiber-templated three-dimension TiO2 hierarchical nanowire network for photoelectrochemical photoanode

机译：用于光电化学光阳极的纤维素纳米纤维模板三维TiO2分层纳米线网络

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摘要

Three dimensional (3D) nanostructures with extremely large porosity possess a great promise for the development of high-performance energy harvesting and storage devices. In this paper, we developed a high-density 3D TiO2 fiber-nanorod (NR) heterostructure for efficient photoelectrochemical (PEC) water splitting. The hierarchical structure was synthesized on a ZnO-coated cellulose nanofiber (CNF) template using atomic layer deposition (ALD)-based thin film and NR growth procedures. The tubular structure evolution was in good agreement with the recently discovered vapor-phase Kirkendall effect in high-temperature ALD processes. The NR morphology was formed via the surface-reaction-limited pulsed chemical vapor deposition (SPCVD) mechanism. Under Xenon lamp illumination without and with an AM 1.5G filter or a UV cut off filter, the PEC efficiencies of a 3D TiO2 fiber-NR heterostructure were found to be 22-249% higher than those of the TiO2-ZnO bilayer tubular nanofibers and TiO2 nanotube networks that were synthesized as reference samples. Such a 3D TiO2 fiber-NR heterostructure offers a new route for a cellulose-based nanomanufacturing technique, which can be used for large-area, low-cost, and green fabrication of nanomaterials as well as their utilizations for efficient solar energy harvesting and conversion.
机译：具有极大孔隙率的三维（3D）纳米结构对于开发高性能的能量收集和存储设备具有广阔的前景。在本文中，我们开发了一种高密度3D TiO2纤维-纳米纤维（NR）异质结构，用于有效的光电化学（PEC）水分解。使用基于原子层沉积（ALD）的薄膜和NR生长程序，在ZnO包覆的纤维素纳米纤维（CNF）模板上合成了层次结构。管状结构的演变与高温ALD工艺中最近发现的气相Kirkendall效应非常吻合。 NR形态是通过表面反应受限的脉冲化学气相沉积（SPCVD）机制形成的。在不使用AM 1.5G滤镜或使用UV截止滤镜的氙气灯照明下，发现3D TiO2纤维-NR异质结构的PEC效率比TiO2-ZnO双层管状纳米纤维的PEC效率高22-249％，并且合成为参考样品的TiO2纳米管网络。这种3D TiO2纤维-NR异质结构为基于纤维素的纳米制造技术提供了一条新途径，该技术可用于大面积，低成本和绿色制造纳米材料，并将其用于有效的太阳能收集和转化。

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