Our awesome graphene future could be closer than ever thanks to this breakthrough

Graphene is a highly prized material due to its ultra strong, flexible and lightweight qualities, but producing it at large scale has been a challenge. 

A team of researchers led by the National University of Singapore (NUS) claims to have come up with a way to more efficiently produce graphene, thus making our graphene future ever more attainable. 

Graphene has applications from smartphones to super cars | Credit: Jamie Carter

Graphene has applications from smartphones to super cars | Credit: Jamie Carter

The NUS team's technique supposedly cuts the amount of solvent needed by up to 50%. 

The first step is to exfoliate pre-treated graphite under a highly alkaline condition. This prompts the graphene to cluster in a slurry – no additional solvent required – plus throws in electrostatic repulsive forces to keep the graphene layers from reforming into graphite, for good measure. 

"Our technique, which produces a high yield of crystalline graphene in the form of a concentrated slurry with a significantly smaller volume of solvent, is an attractive solution for industries to carry out large scale synthesis of this promising material in a cost-effective and sustainable manner," said Professor Loh Kian Ping of the NUS Faculty of Science. 

We'll have to wait and see if this method makes it into large-scale production, but it's a promising breakthrough as tech and other industries look to graphene to produce a new wave of ultra durable, highly conductive and incredibly lightweight products. 

Graphene truly is disruptive technology with applications in everything from smartphones to batteries to sports cars. Chances are, a large sector across the business and manufacturing world is eyeing this latest development closely. 

Michelle Fitzsimmons

Michelle was previously a news editor at TechRadar, leading consumer tech news and reviews. Michelle is now a Content Strategist at Facebook.  A versatile, highly effective content writer and skilled editor with a keen eye for detail, Michelle is a collaborative problem solver and covered everything from smartwatches and microprocessors to VR and self-driving cars.