Ahmadian Yazdi Alireza, Xu Jie, Berry Vikas
Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.
Department of Chemical Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.
ACS Nano. 2021 Apr 27;15(4):6998-7005. doi: 10.1021/acsnano.1c00020. Epub 2021 Apr 9.
While ionic flow over graphenic structures creates electromotive potential, there is a need to understand the local carrier density induced in graphene without any electrode-induced Fermi-level pinning. Here, we show the electrolyte-flow induced localized doping in graphene inspecting its Raman phononic energy. Graphene's Fermi energy level has a logarithmic dependence to the flow velocity over 2 orders of magnitude of velocity (∼100 μm s to 10 mm s). A theoretical model of the electric double layer (EDL) during ionic transport is used to correlate the Fermi level of graphene with the flow rate and the electronic structure (HOMO-LUMO levels) of the ionic species. This correlation can allow us to use graphene as a reliable, non-invasive, optical flow-sensor, where the flow rates can be measured at high spatial resolution for several lab-on-a-chip applications.
虽然离子在石墨烯结构上的流动会产生电动势,但有必要了解在没有任何电极诱导的费米能级钉扎情况下石墨烯中诱导的局部载流子密度。在这里,我们通过检查石墨烯的拉曼声子能量来展示电解质流动诱导的石墨烯局部掺杂。石墨烯的费米能级对流速在两个数量级的速度范围内(约100μm s至10mm s)呈对数依赖性。在离子传输过程中使用双电层(EDL)的理论模型将石墨烯的费米能级与流速以及离子物种的电子结构(HOMO-LUMO能级)相关联。这种相关性可以使我们将石墨烯用作可靠的、非侵入式的光学流量传感器,在几种芯片实验室应用中可以以高空间分辨率测量流速。