Title
Graphene with Platinum Nanoparticles for Neural Recording and Stimulation
Author
Rice, Samantha (TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Electronic Components, Technology and Materials; TU Delft Bio-Electronics)
Contributor
Vollebregt, S. (mentor) 
Giagka, Vasiliki (mentor) 
Bakhshaee Babaroud, N. (mentor)
Degree granting institution
Delft University of Technology
Programme
Biomedical Engineering
Date
2023-01-23
Abstract
Numerous advancements have been made in transparent electrode technologies that can complement optogenetics and imaging modalities. However, several obstacles restrict the design and material of electrode devices, including the required flexibility, transparency, low impedance, high charge storage
capacity (CSC), and high charge injection capacity (CIC), among others. The impedance of transparent graphene arrays is higher, and its CIC is significantly lower than platinum, a metal typically employed for electrophysiological recording and stimulation. It is possible to enhance the electrochemical properties
of planar, transparent graphene electrodes by functionalizing their surfaces with platinum nanoparticles (Pt NPs), effectively increasing the electrode surface area. Existing research on platinum nanoparticles on transparent graphene electrodes has solely focused on simultaneous electrical recording and optical imaging of neuronal activity. There is currently no quantitative evidence of the extent to which platinum nanoparticles can impact the stimulating properties of transparent graphene electrodes and any indication of the stability of the coating. Therefore, material and electrochemical device characterizations were conducted to compare the recording and stimulating properties of graphene versus graphene with Pt NPs of varying surface densities.
Subject
Graphene
Graphene Properties
platinum
nanoparticle
Nanoparticles deposition
Neural interface
recording
stimulation
EIS
Cyclic voltammetry
Coating
Impedance spectroscopy
To reference this document use:
http://resolver.tudelft.nl/uuid:d2ed52e8-21e2-495f-89f7-d85901d9dfd4
Embargo date
2024-01-13
Part of collection
Student theses
Document type
master thesis
Rights
© 2023 Samantha Rice