论文标题
基于石墨烯积液的气体传感器
Graphene Effusion-based Gas Sensor
论文作者
论文摘要
多孔，原子薄的石墨烯膜具有过滤和筛分应用的有趣特性，因为它们可以容纳小孔径，同时保持高渗透性。因此，这些膜引起了新的气体和水净化应用的关注。在这里，我们表明多孔石墨烯膜的原子厚度和高共振频率可实现基于积液的气体传感方法，该方法可根据其分子质量区分气体。石墨烯膜用于使用Optothermal力通过纳米孔泵送气体。通过监测驱动力和膜机械运动之间的时间延迟，显示各种气体的渗透时间恒定剂显着差异。测得的积液时间常数与分子质量的平方根之间的线性关系为基于它们的分子质量的传感气体提供了一种方法。提出的基于微观积液的气体传感器可以为大型，高功率，质量光谱法和基于光谱法的大型低功率替代品提供。
Porous, atomically thin graphene membranes have interesting properties for filtration and sieving applications because they can accommodate small pore sizes, while maintaining high permeability. These membranes are therefore receiving much attention for novel gas and water purification applications. Here we show that the atomic thickness and high resonance frequency of porous graphene membranes enables an effusion based gas sensing method that distinguishes gases based on their molecular mass. Graphene membranes are used to pump gases through nanopores using optothermal forces. By monitoring the time delay between the actuation force and the membrane mechanical motion, the permeation time-constants of various gases are shown to be significantly different. The measured linear relation between the effusion time constant and the square root of the molecular mass provides a method for sensing gases based on their molecular mass. The presented microscopic effusion based gas sensor can provide a small, low-power alternative for large, high-power, mass-spectrometry and optical spectrometry based gas sensing methods.
