Related Experiment Video
Updated: Jun 28, 2026

11:15
Development of a 3D Graphene Electrode Dielectrophoretic Device
Published on: June 22, 2014
Graphene Multielectrode Arrays as a Versatile Tool for Extracellular Measurements
Dmitry Kireev1, Silke Seyock1, Johannes Lewen1
1Institute of Bioelectronics (PGI-8/ICS-8), Forschungszentrum Jülich, 52425, Jülich, Germany.
Advanced Healthcare Materials
|April 4, 2017
Summary
Graphene multielectrode arrays (GMEAs) offer flexible, biocompatible solutions for recording cardiac and neuronal activity. These arrays demonstrate high signal-to-noise ratios, enabling detailed analysis of cellular electrical signals for biomedical research.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Cardiology
Background:
- Graphene offers unique electronic properties, flexibility, and biocompatibility, making it suitable for advanced biosensor development.
- Traditional multielectrode arrays face limitations in flexibility and signal fidelity for complex biological recordings.
- Graphene multielectrode arrays (GMEAs) are emerging as a promising technology for high-resolution extracellular recordings.
Purpose of the Study:
- To develop and evaluate graphene multielectrode arrays (GMEAs) for extracellular recordings of cardiac and neuronal activity.
- To assess the performance of GMEAs in detecting action potentials from cell lines and neuronal networks.
- To highlight the potential applications of GMEAs in biological and medical research.
Main Methods:
- Fabrication of graphene-based multielectrode arrays.
- In vitro electrophysiological recordings using HL-1 cardiac-like cell line.
- In vitro electrophysiological recordings of cortical neuronal networks.
- Analysis of signal-to-noise ratios and waveform characteristics of recorded action potentials.
Main Results:
- GMEAs successfully recorded extracellular action potentials from HL-1 cells with a signal-to-noise ratio of 45 ± 22.
- GMEAs detected spontaneous bursting and spiking activity in neuronal networks with a signal-to-noise ratio of 48 ± 26.
- Complex neuronal bursting patterns and characteristic HL-1 action potential shapes were accurately captured.
- Demonstrated excellent flexibility and biocompatibility of the graphene-based devices.
Conclusions:
- Graphene multielectrode arrays (GMEAs) are highly effective for extracellular recordings of both cardiac and neuronal electrical activity.
- The high signal-to-noise ratios achieved with GMEAs enable detailed analysis of cellular electrophysiology.
- GMEAs hold significant potential for diverse applications in biological and medical research, including disease modeling and drug discovery.

