Graphene sensors developed to detect brain damage after strokes in mice
An international team of scientists has developed graphene-based sensors to track brain activity and identify regions most vulnerable to additional damage following a stroke.
FTMQ News, written by our newsroom0 views

An international team of scientists including Spain's CSIC has created graphene sensors that monitor brain activity after a stroke. Euronews reported that the technology pinpointed the areas of the brain at greatest risk of suffering further damage during tests conducted on mice. [1]
The research findings were published in the scientific journal Brain, according to Euronews. Scientists hope the advancement will lead to more precise stroke treatments and help prevent secondary brain damage. [1]
Graphene is a form of carbon consisting of a single layer of interlocked atoms arranged in a hexagonal structure resembling a honeycomb. Hundreds of layers of graphene stacked together form graphite. [2]
Physicists Andre Geim and Konstantin Novoselov first isolated graphene in 2004 at the University of Manchester using adhesive tape to peel layers from graphite. Their experiments on the unique electronic properties of graphene earned them the 2010 Nobel Prize in Physics. [3]
In short
- Scientists developed graphene sensors that identify brain regions vulnerable to damage after a stroke.
- The graphene sensor technology was successfully tested in mice.
- The research study was published in the scientific journal Brain.
- Andre Geim and Konstantin Novoselov won the 2010 Nobel Prize in Physics for isolating graphene.
Sources
Every paragraph above points to the numbered items it rests on. Read the originals here.
- [1]Graphene opens new way to detect brain damage after strokeEuronews, 2h ago (the report this story comes from)
Background
Our newsroom writes these reports with the help of software, from the 3 sources listed and nothing else, and checks them against those sources. Facts can still be wrong or move on; the originals are the record. Spotted a mistake? Write to daniel@monsterkong.com.
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