Simple graphene cascade allows unprecedented insights into nanoionics

February 15, 2016
Simple graphene cascade allows unprecedented insights into nanoionics
Ion transport through graphene layers

Until now, the phenomenon of nanoscale ionic transport has remained a mystery to researchers. Latest research from the Monash Centre for Atomically Thin Materials (MCATM) at Monash University has now revealed a new, inexpensive and reliable method for studying the way ions move through tiny, nanosized channels. This research could hold the key to applications such as high-power energy storage, efficient desalination, and bioelectronics such as modulation of neural signalling.

Previously, studying nano-confined ionic transport was only possible by cutting nano channels in a process known as photolithography. This method was costly, had low success rates, and resolution limits. However, using a process similar to paper-making, researchers at MCATM have developed a graphene-based technique to make nanochannels, which is simple, inexpensive and easily scalable.

According to the first author of the research, Dr Chi Cheng, a postdoctoral researcher from MCATM, "The work demonstrates an unconventional way to use graphene to make nanofluidic devices, a novel research tool tuneable at length scale ranges that cannot be achieved with any other material. With this, we are able to unveil the fundamental, yet unusual behaviours as a function of channel size across the entire sub-10 nm length scales."

Simply by stacking multiple layers of graphene sheets, Dr Cheng and colleagues have created a macroscopic membrane material, which houses a series of cascading nanoslits. The minute openings in the membrane are like a maze, which the ions must travel through, thereby allowing the researchers to begin to understand the movement of ions under a restriction level below 10 nanometers.

Through manipulating the weak interactions among neighbouring graphene layers, the interlayer spacing can be readily adjusted. Counterintuitively, ions have been seen moving at a much higher rates as the spacing decreases, speeding through the tortuous paths between graphene layers under electric potential.

Computer simulations provided an indispensable tool in Dr Cheng's study, complimenting his experiments, which probed the ionic transport properties in the graphene membranes.

Senior Lecturer Dr Jefferson Zhe Liu, one of the supervisors of this research with expertise on continuum and atomistic simulations, said the study reveals an anomalous scaling relation for ion transport in the unique cascading nanoslit system enclosed in graphene membranes.

"A combination of tuneable graphene membranes in experiments and computer simulations allow us to obtain a statistically representative microstructure model of the unique cascading nanoslits in graphene membranes, which was not attainable in previous studies," Dr Liu said.

Research lead and Director of MCATM, Professor Dan Li, was enthusiastic about the potential impact of this development.

"Nano-confined ion transport, or nanoionics, is crucial to new technologies related to energy, water, and biomedicine. It has been challenging to quantitatively study nanoionics because of the lack of nanoionic materials with the feature size tuneable across the critical nanometer scale. The ease of scalable production and excellent structural tuneability makes our graphene membranes promising as an exceptional experimental platform to explore new and exciting nanoionic phenomena. It also makes it very easy to transfer the fundamental discoveries to technological innovations, enabling new generation hi-tech in energy storage and conversion, membrane separation and biomedical devices. This is a very exciting area we plan to pursue in the coming years," Professor Li said.

The research is published in Science Advances.

Explore further: Revolutionary new graphene elastomer exceeds sensitivity of human skin

More information: C. Cheng et al. Ion transport in complex layered graphene-based membranes with tuneable interlayer spacing, Science Advances (2016). DOI: 10.1126/sciadv.1501272

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