Graphene microelectrodes for real-time impedance spectroscopy of neural cells in organ-on-a-chip

This study presents the development and characterization of a graphene-based sensor integrated into a microfluidic chip for real-time monitoring of cell growth and viability in an organ-on-a-chip platform. The sensor fabrication involved the metabolization of graphene from graphite using a simple and cost-effective method. The sensor design, created using SolidWorks, featured electrodes capable of detecting environmental changes through impedance sensing. A mold was created using a cutter plotter to overcome challenges in achieving the desired sensor shape, and the graphene electrodes were then printed on a polyester (PETE) membrane. The conductivity of the electrodes was optimized through annealing, by considering the temperature limits of the membrane. Annealing at 150 °C for 40 min yielded electrodes with the desired conductivity while maintaining membrane integrity. The annealing parameters were confirmed through cell culture experiments for compatibility with cellular growth. The scaled electrodes were integrated into a microfluidic chip, and their performance was evaluated using cyclic voltammetry and electrochemical impedance spectroscopy. The results demonstrated the successful functioning of the electrodes within the chip. The developed graphene-based sensor offers promising applications in other organ-on-a-chip studies, as well as in cellular studies and biosensing, through real-time monitoring of cell growth and viability that was achieved by measuring impedance changes resulting from cell attachment.

Authors

Institutions

Publication Details

Journal
APL Materials
Published
2025-02-01
DOI
https://doi.org/10.1063/5.0252728
Citations
6
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
5.45

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Graphene microelectrodes for real-time impedance spectroscopy of neural cells in organ-on-a-chip

Nicole N. Hashemi, Lionel J. Ouedraogo, McKayla Kling
6 citations
APL Materials
Neuroscience and Neural Engineering
5.45
article

Graphene microelectrodes for real-time impedance spectroscopy of neural cells in organ-on-a-chip

Nicole N. Hashemi, Lionel J. Ouedraogo, McKayla Kling
article en
6 citations

Abstract

This study presents the development and characterization of a graphene-based sensor integrated into a microfluidic chip for real-time monitoring of cell growth and viability in an organ-on-a-chip platform. The sensor fabrication involved the metabolization of graphene from graphite using a simple and cost-effective method. The sensor design, created using SolidWorks, featured electrodes capable of detecting environmental changes through impedance sensing. A mold was created using a cutter plotter to overcome challenges in achieving the desired sensor shape, and the graphene electrodes were then printed on a polyester (PETE) membrane. The conductivity of the electrodes was optimized through annealing, by considering the temperature limits of the membrane. Annealing at 150 °C for 40 min yielded electrodes with the desired conductivity while maintaining membrane integrity. The annealing parameters were confirmed through cell culture experiments for compatibility with cellular growth. The scaled electrodes were integrated into a microfluidic chip, and their performance was evaluated using cyclic voltammetry and electrochemical impedance spectroscopy. The results demonstrated the successful functioning of the electrodes within the chip. The developed graphene-based sensor offers promising applications in other organ-on-a-chip studies, as well as in cellular studies and biosensing, through real-time monitoring of cell growth and viability that was achieved by measuring impedance changes resulting from cell attachment.

APL MaterialsVol. 13(2)
Iowa State University (US)
Air Force Office of Scientific Research
Openalex Percentile: Top 4%
Neuroscience and Neural Engineering
5.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.