Quantum Capacitance Based Amplified Graphene Phononics for Studying Neurodegenerative Diseases

  • Bijentimala Keisham
  • , Akop Seksenyan
  • , Steven Denyer
  • , Pouyan Kheirkhah
  • , Gregory D. Arnone
  • , Pablo Avalos
  • , Abhiraj D. Bhimani
  • , Clive Svendsen
  • , Vikas Berry
  • , Ankit I. Mehta

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Amyotrophic lateral sclerosis (ALS) is the most common adult-onset motor neuron disease (MND) characterized by a rapid loss of upper and lower motor neurons resulting in patient death from respiratory failure within 3-5 years of initial symptom onset. Although at least 30 genes of major effect have been reported, the pathobiology of ALS is not well understood. Compounding this is the lack of a reliable laboratory test which can accurately diagnose this rapidly deteriorating disease. Herein, we report on the phonon vibration energies of graphene as a sensitive measure of the composite dipole moment of the interfaced cerebrospinal fluid (CSF) that includes a signature-composition specific to the patients with ALS disease. The second-order overtone of in-plane phonon vibration energy (2D peak) of graphene shifts by 3.2 ± 0.5 cm -1 for all ALS patients studied in this work. Further, the amount of n-doping-induced shift in the phonon energy of graphene, interfaced with CSF, is specific to the investigated neurodegenerative disease (ALS, multiple sclerosis, and MND). By removing a severe roadblock in disease detection, this technology can be applied to study diagnostic biomarkers for researchers developing therapeutics and clinicians initiating treatments for neurodegenerative diseases.

Original languageEnglish (US)
Pages (from-to)169-175
Number of pages7
JournalACS Applied Materials and Interfaces
Volume11
Issue number1
DOIs
StatePublished - Jan 9 2019

All Science Journal Classification (ASJC) codes

  • General Materials Science

Fingerprint

Dive into the research topics of 'Quantum Capacitance Based Amplified Graphene Phononics for Studying Neurodegenerative Diseases'. Together they form a unique fingerprint.

Cite this