Graphene is a very magical material with excellent optical, electrical and mechanical properties and broad application prospects. A new study from the University of Illinois at Chicago has given this material a new use—detecting amyotrophic lateral sclerosis (ALS). The researchers point out that graphene is a useful detection tool and its acoustic properties can help scientists develop new diagnostic methods for neurodegenerative diseases. Related research was published in the Journal of the American Chemical Society, Applied Materials and Interfaces.
Graphene is a two-dimensional material composed of carbon atoms. The chemical bonds of atoms in the material react with each other due to elasticity. The vibration waves, ie, phonons, can be measured very accurately. When a molecule interacts with graphene, this resonance changes in a quantifiable manner, the mode of which depends on the unique electronic properties of the molecule. By measuring the change in graphene phonon energy caused by a molecule, the electronic properties of the molecule can be determined.
It is based on this principle that researchers detect ALS through changes in graphene phonon energy. In the study, they placed cerebrospinal fluid from ALS patients, patients with multiple sclerosis and volunteers without neurodegenerative diseases on graphene, and then analyzed the cerebrospinal fluid composition by changing the vibration characteristics of graphene phonons to identify cerebrospinal fluid. Own - whether it is from ALS patients, or multiple sclerosis patients, or volunteers without neurodegenerative diseases. Researchers say that because there is no reliable ALS laboratory test, this objective diagnostic test can help ALS patients begin treatment as soon as possible, slowing the disease.
One of the authors, Vikas Berry, an associate professor at the School of Engineering at the University of Illinois at Chicago, pointed out that graphene is a "super material" and that scientists have little research on its acoustic properties. Their research shows that graphene can be used as an extremely versatile and accurate detection method depending on its acoustic properties.
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