Lee Jae-Hyoung, Katoch Akash, Choi Sun-Woo, Kim Jae-Hun, Kim Hyoun Woo, Kim Sang Sub
Department of Materials Science and Engineering, Inha University , Incheon 402-751, Republic of Korea.
ACS Appl Mater Interfaces. 2015 Feb 11;7(5):3101-9. doi: 10.1021/am5071656. Epub 2015 Jan 28.
We propose a novel approach to improve the gas-sensing properties of n-type nanofibers (NFs) that involves creation of local p-n heterojunctions with p-type reduced graphene oxide (RGO) nanosheets (NSs). This work investigates the sensing behaviors of n-SnO2 NFs loaded with p-RGO NSs as a model system. n-SnO2 NFs demonstrated greatly improved gas-sensing performances when loaded with an optimized amount of p-RGO NSs. Loading an optimized amount of RGOs resulted in a 20-fold higher sensor response than that of pristine SnO2 NFs. The sensing mechanism of monolithic SnO2 NFs is based on the joint effects of modulation of the potential barrier at nanograin boundaries and radial modulation of the electron-depletion layer. In addition to the sensing mechanisms described above, enhanced sensing was obtained for p-RGO NS-loaded SnO2 NFs due to creation of local p-n heterojunctions, which not only provided a potential barrier, but also functioned as a local electron absorption reservoir. These mechanisms markedly increased the resistance of SnO2 NFs, and were the origin of intensified resistance modulation during interaction of analyte gases with preadsorbed oxygen species or with the surfaces and grain boundaries of NFs. The approach used in this work can be used to fabricate sensitive gas sensors based on n-type NFs.
我们提出了一种新颖的方法来改善n型纳米纤维(NFs)的气敏特性,该方法涉及与p型还原氧化石墨烯(RGO)纳米片(NSs)形成局部p-n异质结。这项工作研究了负载p-RGO NSs的n-SnO2 NFs作为模型系统的传感行为。当负载优化量的p-RGO NSs时,n-SnO2 NFs表现出大大改善的气敏性能。负载优化量的RGOs导致传感器响应比原始SnO2 NFs高20倍。整体式SnO2 NFs的传感机制基于纳米晶粒边界处势垒调制和电子耗尽层径向调制的联合效应。除了上述传感机制外,由于形成了局部p-n异质结,负载p-RGO NSs的SnO2 NFs获得了增强的传感性能,这不仅提供了一个势垒,还起到了局部电子吸收库的作用。这些机制显著增加了SnO2 NFs的电阻,并且是分析物气体与预吸附的氧物种或与NFs的表面和晶界相互作用期间电阻调制增强的原因。这项工作中使用的方法可用于制造基于n型NFs的灵敏气体传感器。