4.7 Article

Surface-charge-mobility-modulated electrokinetic energy conversion in graphene nanochannels

期刊

PHYSICS OF FLUIDS
卷 34, 期 11, 页码 -

出版社

AIP Publishing
DOI: 10.1063/5.0124153

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资金

  1. National Natural Science Foundation of China
  2. Natural Science Foundation of Inner Mongolia Autonomous Region of China
  3. Foundation of Inner Mongolia Normal University
  4. [12202213]
  5. [2021BS01008]
  6. [2020YJRC014]

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In recent years, the electrokinetic energy conversion in pressure-driven flow through hydrophobic nanochannels has gained much attention. However, the reported efficiencies may be overestimated due to neglecting the surface charge mobility effect. This paper develops a theoretical model for electrokinetic energy conversion in graphene nanochannels, considering the influence of surface charge mobility.
In recent years, electrokinetic energy conversion for pressure-driven flow through hydrophobic nanochannels has attracted increasing attention from numerous researchers. However, the reported electrokinetic energy conversion efficiencies may be overestimated owing to neglect of the surface charge mobility effect of hydrophobic nanochannels. In fact, both the effective slip length and the induced streaming potential are influenced by the surface charge mobility. In this paper, a theoretical model for electrokinetic energy conversion through graphene nanochannels is developed with consideration of the influence of surface charge mobility. The surface charge density sigma(s) varies from very low to considerably high. A numerical solution to the electric potential is obtained by using the finite difference method. We also derive analytical solutions for two limiting cases, namely, the case with a low zeta potential and the case without considerable electric double layer overlap. Our results reveal that consideration of the surface charge mobility leads to a 44% reduction in the maximum conversion efficiency. The predicted maximum efficiency is approximately 5.9% at sigma(s) = -0.0162 C/m(2). Our results may prove useful for predicting and optimizing the electrokinetic conversion efficiency in hydrophobic nanochannels.

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