ArXiv TLDR

Architecting mechanosensitive nanofluidic transport in graphite nanoslits

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2605.00661

Mathieu Lizée, Zhijia Zhang, Baptiste Coquinot, Qian Yang, Lydéric Bocquet

cond-mat.softcond-mat.mes-hall

TLDR

This paper shows how graphite nanoslits can be engineered for mechanosensitive ion transport, creating bioinspired ionic pressure sensors.

Key contributions

  • Engineered graphite nanoslits for mechanosensitive ion transport without structural deformation.
  • Mechanism involves selective inlet charging creating mobile ions advected by pressure-driven flow.
  • Developed a comprehensive electrohydrodynamic model explaining coupled nanoscale phenomena.
  • Demonstrated complex, pressure-dependent conductance from simple surface charge patterns for ionic sensors.

Why it matters

This work demonstrates a novel way to achieve mechanosensitive ion transport in synthetic systems, mimicking biological processes. It provides a theoretical framework and experimental validation for designing adaptive nanofluidic devices. This could lead to new bioinspired ionic pressure sensors and other smart materials.

Original Abstract

Mechanosensitive ion transport plays a central role in enabling living systems to perceive and adapt to their environment through the deformation of soft, embedded ion channels. In this work, we demonstrate that ion transport within a two-dimensional graphite nanoslit can be rationally engineered to achieve a bipolar, pressure-sensitive response without any structural deformation. The mechanosensitivity arises from the selective charging of one channel inlet, which acts as a reversible source of mobile charge carriers. These excess-ions can then be advected in or out of the channel by the pressure-driven water flow, thereby modulating the ionic conductance. This mechanism is captured through a comprehensive electrohydrodynamic model that analytically accounts for coupled diffusion, convection, surface transport, diffusio-osmosis, and interfacial slippage, both inside and outside the nanoslit. The theoretical framework quantitatively reproduces the experimental data, showing that a simple surface charge pattern can give rise to complex, pressure-dependent conductance. These findings reveal how rich nonlinear couplings at the nanoscale can be harnessed to design adaptive, bioinspired nanofluidic systems, exemplified here by ionic pressure sensors.

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