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Graphene is a very magical material, with excellent optical, electrical and electrical properties, the application prospects are broad. A new study from the University of Illinois at Chicago has given the material a new use - detecting amyotrophic lateral sclerosis (ALS). Graphene is a useful detection tool, and its acoustic properties could help scientists develop new diagnostic methods for neurodegenerative diseases
Chinese
. The study was published in the Journal of the American Chemical Society, Applied Materials and Interfaces.
graphene is a two-dimensional material made up of carbon atoms in which the chemical bonds that bind to atoms are resonant due to elasticity, and their vibration waves, or onns, can be measured very precisely. When molecules interact with graphene, this resonance changes in a quantifiable manner, depending on the unique electron properties of the molecule. By measuring changes in the energy of graphene cytones caused by molecules, the electron properties of the molecule can be determined.
based on this principle, the researchers used changes in graphene acoustic energy to detect ALS. In the study, they placed cerebrospinal fluid from ALS patients, patients with multiple sclerosis, and volunteers without neurodegenerative diseases on graphene, and then analyzed cerebrospinal fluid composition through changes in the vibration characteristics of graphene photones to identify the cerebrospinal fluid - from ALS patients, or from people with multiple sclerosis, or volunteers without neurodegenerative diseases. Because there are no reliable ALS laboratory tests, such objective diagnostic tests can help ALS patients start treatment early and slow the condition, the researchers said.
is a
material, and scientists currently do little research on its acoustic properties, said Vikas Berry, one of the authors of the paper and an associate professor at the University of Illinois at Chicago's School of Engineering. Their research shows that graphene can be used as an extremely versatile and accurate detection method, depending on its acoustic properties.