Architecting mechanosensitive nanofluidic transport in graphite nanoslits
Mathieu Lizée, Zhijia Zhang, Baptiste Coquinot, Qian Yang, Lydéric Bocquet
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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