论文标题
外延Nio/石墨烯气体传感器中的传导机制
Conduction Mechanisms in Epitaxial NiO/Graphene Gas Sensors
论文作者
论文摘要
可以用基于石墨烯的材料实现，在环境污染监测中，用于有毒和危险气体的综合，高度敏感和可逆的传感器设备。在这里，我们表明，在SIC上生长的单层石墨烯可用于实现传感器设备对显示N型响应的NO2非常敏感。单层石墨烯顶部的第二种具有添加NIO层的传感器改变了其对P型的响应，但并未降低其敏感性。我们表明，从N型到P型的传导开关不是石墨烯层改变的结果，而是发现是Nio层的效果。我们发现NIO导致费米水平降低到石墨烯中狄拉克点的交叉点切换传导类型的点。这些传感器在100 ppb NO2状态中进行了测试，显示出良好的响应，并且外推低于1 ppb的检测极限。这种新的NiO/石墨烯/SIC配置可以是NO2和相关气体的有吸引力的P-Type子PPB传感器平台。
Integrated, highly sensitive and reversible sensor devices for toxic and hazardous gases in environmental pollution monitoring can be realized with graphene-based materials. Here we show that, single layer graphene grown on SiC can be utilized to implement sensor devices being extremely sensitive towards NO2 showing an n-type response. A second type of sensor with an added NiO layer on top of the single layer graphene changed its response to p-type but did not reduce its sensitivity. We show that the conduction switch from n-type to p-type was not a consequence of an alteration of the graphene layer but is found to be an effect of the NiO layer. We find that the NiO leads to lowering of the Fermi level to a point that a crossing of the Dirac Point in the graphene switched the conduction type. These sensors were tested in the 100 ppb NO2 regime, showing good response and a detection limit extrapolated to be below 1 ppb. This new NiO/graphene/SiC configuration can be an attractive p-type sub-ppb sensor platform for NO2 and related gases.
