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Novel Approaches towards Highly Selective Self-Powered Gas Sensors

机译:新颖的高度选择性自动气体传感器方法

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The prevailing design approaches of semiconductor gas sensors struggle to overcome most of their current limitations such as poor selectivity, and high power consumption. Herein, a new sensing concept based on devices that are capable of detecting gases without the need of any external power sources required to activate interaction of gases with sensor or to generate the sensor read out signal. Based on the integration of complementary functionalities (namely; powering and sensing) in a singular nanostructure, self-sustained gas sensors will be demonstrated. Moreover, a rational methodology to design organic surface functionalization that provide high selectivity towards single gas species will also be discussed. Specifically, theoretical results, confirmed experimentally, indicate that precisely tuning of the sterical and electronic structure of sensor material/organic interfaces can lead to unprecedented selectivity values, comparable to those typical of bioselective processes. Finally, an integrated gas sensor that combine both the self-powering and selective detection strategies in one single device will also be presented.
机译:半导体气体传感器的普遍设计方法难以克服其大多数当前限制,例如差的选择性差和高功耗。这里,一种基于能够检测气体的装置的新感测概念,而无需任何外部电源来激活气体与传感器的相互作用或产生传感器读出信号。基于互补函数的整合(即,供电和感测)在奇异纳米结构中,将证明自持续的气体传感器。此外,还将讨论为设计有机表面官能化的合理方法,该方法可以讨论为单个气体物种提供高选择性。具体而言,实验证实的理论结果表明传感器材料/有机界面的内部和电子结构的精确调谐可以导致前所未有的选择性值,与典型的生物选择性过程相当。最后,还将呈现结合一个单个设备中的自动和选择性检测策略的集成气体传感器。

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