New Material with High Sensitivity for Water Purification, Gas Separation, and Storage

Separation processes are essential in the purification and concentration of a target molecule during water purification, removal of pollutants, and heat pumping, accounting for 10–15% of global energy consumption. To make the separation processes more energy efficient, improvement in the design of porous materials is necessary. This could drastically reduce energy costs by about 40–70%. The primary approach to improving the separation performance is to precisely control the pore structure.

In this regard, porous carbon materials offer a distinct advantage as they are composed of only one type of atom and have been well-used for separation processes. They have large pore volumes and surface areas, providing high performance in gas separation, water purification, and storage. However, pore structures generally have high heterogeneity with low designability. This poses various challenges, limiting the applicability of carbon materials in separation and storage.

Now, a team of researchers from Japan, led by Associate Professor Tomonori Ohba from Chiba University and including master's students, Mr. Kai Haraguchi and Mr. Sogo Iwakami, has fabricated fullerene-pillared porous graphene (FPPG)-a carbon composite comprising nanocarbons-using a bottom-up approach with highly designable and controllable pore structures. They detail the synthesis, characterization, and properties of this novel water-adsorbent material in a recent article made available online on June 16, 2023, and published in Volume 127, Issue 25 of The Journal of Physical Chemistry C on June 29, 2023.

The researchers fabricated FPPG in the form of a fullerene–graphene–fullerene sandwich structure by adding a fullerene solution to graphene. They lightly coated the fullerene–graphene composition and laminated it 1–10 times. The novel tuning capability in their synthesis enabled precise control of the fullerene filling in porous graphene.

After developing FPPG structures with different fullerene filling ratios, the researchers employed experimental techniques and grand canonical Monte Carlo simulations to investigate their water vapor adsorption properties. They found that 4% fullerene-filled graphene only slightly adsorbed water vapor. Upon increasing the fullerene filling to 5%, the adsorption amount decreased further, owing to the collapse of nanopores in the laminar porous graphene. However, increasing the filling ratio close to 25% yielded a surprising outcome. "FPPG with 25 ± 8% fullerene had the largest water vapor adsorption capacity at 40% relative humidity owing to the production of large uniform nanopores," highlights Dr. Ohba.

Further increasing the fullerene filling ratio in FPPG, up to 50% fullerene, diminished the adsorption capabilities. The Monte Carlo simulations agreed with these observations, revealing that the excess fullerene content reduced the nanopores, which, in turn, prevented water cluster formation.

"The bottom-up technique, along with designable and controllable pore structures of FPPG, can facilitate the development of more such novel materials that would considerably improve the performance of gas and liquid purification and concentration processes," speculates an optimistic Dr. Ohba. "This, in turn, would considerably bring down the costs of numerous products manufactured via separation processes."

Together, novel porous carbons such as FPPG could potentially revolutionize storage and purification applications, making them more energy efficient and cost-effective.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.