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Biotemplates based preparation of hierarchical ZnSnO3 porous nanostructures for fast detection of formaldehyde

机译:基于分层ZnSNO3多孔纳米结构的基于生物预浸,用于快速检测甲醛

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摘要

The synthesis of hierarchically porous nanostructures is always highly concerned by researchers. Herein, we report a simple, low-cost and green approach to obtain hierarchical ZnSnO3 porous nanostructures by using the branches of pterocarya stenoptera, catalpa and apricot as biotemplate, respectively. The gas sensing properties of hierarchical ZnSnO3 porous nanostructures are systematically analyzed. The results exhibit that the ZnSnO3 based gas sensors show not only high responses and rapid response/recovery speed (2/8 s for ZnSnO3-1, 1/10 s for ZnSnO3-2 and 2/20 s for ZnSnO3-3) at the working temperature of 240oC but also excellent anti-humidity properties, gas selectivity, repeatability and long-term stability. Besides, the linear relationship between the responses and the formaldehyde concentration (1?200 ppm) is observed. The excellent gas sensing performance of the ZnSnO3 based gas sensors is mainly ascribed to the unique structural merits. The simple synthetic method in this paper also provides implications for the design and synthesis of porous MOSs.
机译:层状多孔纳米结构的合成一直是研究人员高度关注的问题。在此,我们报道了一种简单、低成本和绿色的方法,分别以枫杨、梓树和杏树的枝条为生物模板,获得分级的ZnSnO3多孔纳米结构。系统地分析了ZnSnO3多孔纳米结构的气敏特性。结果表明,在240℃的工作温度下,ZnSnO3基气体传感器不仅具有高响应和快速响应/恢复速度(ZnSnO3-1为2/8秒,ZnSnO3-2为1/10秒,ZnSnO3-3为2/20秒),而且具有优异的抗湿性能、气体选择性、重复性和长期稳定性。此外,还观察到响应与甲醛浓度(1-200ppm)之间的线性关系。ZnSnO3基气体传感器的优异气敏性能主要归功于其独特的结构优点。本文中简单的合成方法也为多孔苔藓的设计和合成提供了启示。

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