Skip to main navigation Skip to search Skip to main content

In-vivo Dopamine Sensing PEDOT:CNF Neural Probe Design and Simulation

  • Stefanus Wirdatmadja*
  • , Harshithaa Ganesan
  • , Lauri Sydänheimo
  • , Leena Ukkonen
  • , Merja Voutilainen
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

21 Downloads (Pure)

Abstract

The electrochemical analysis is one of the most popular implementations of a dopamine-sensing brain implant. Its performance depends significantly on the interaction between the dopamine molecule and the working electrode. Carbon nanofiber is an allotrope of carbon nanotube and is effective in increasing the contact surface with dopamine molecules. Considering its simple fabrication protocols using photolithography, physical vapor deposition, and electrochemical deposition, this material is suitable for in-vivo implementation. COMSOL simulation confirms that carbon nanofiber implementation increases the redox current while maintaining its linearity to the user-controlled dopamine concentration.

Original languageEnglish
Title of host publicationProceedings of the 36th Conference of Open Innovations Association FRUCT, FRUCT 2024
EditorsYurii Khlaponin, Sergey Balandin
PublisherIEEE
Pages817-823
Number of pages7
ISBN (Electronic)978-952-65246-2-7
DOIs
Publication statusPublished - 2024
Publication typeA4 Article in conference proceedings
EventConference of Open Innovations Association FRUCT - Helsinki, Finland
Duration: 30 Oct 20241 Nov 2024

Publication series

NameConference of Open Innovation Association, FRUCT
ISSN (Print)2305-7254

Conference

ConferenceConference of Open Innovations Association FRUCT
Country/TerritoryFinland
CityHelsinki
Period30/10/241/11/24

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'In-vivo Dopamine Sensing PEDOT:CNF Neural Probe Design and Simulation'. Together they form a unique fingerprint.

Cite this