Vertical Graphene-Based Microelectrode Array Coupled with Microelectroporation for Real-Time Monitoring of Intracellular Action Potential
Multisite intracellular action potential (AP) recording is essential for studying the electrophysiology in excitatory cell networks. Recent approaches combining 3D structure micro/nanoelectrode arrays with perforation technology are promising solutions to achieve multichannel intracellular recording, which remains challenging for conventional microelectrode arrays and patch clamps. However, most of the existing 3D micro/nanoelectrode arrays involved nanoscale photolithographic processes and were less compatible with fabricating 3D-nanostructured carbon electrodes. Here, we present a vertical graphene-based microelectrode array (VG-MEA) integrated with microelectroporation for robust, high-quality multichannel intracellular AP recordings in cardiomyocytes. The VG-MEAs were rapidly fabricated via plasma-enhanced chemical vapor deposition and laser etching, avoiding nanoscale photolithography. The VG microelectrode offers low interfacial impedance and a high surface area, and its 3D structure enhances cell-electrode sealing. The VG-MEA enabled higher quality intracellular AP recordings with longer recording duration (∼6 min), higher SNR (∼45 dB), and higher waveform fidelity compared to planar gold MEAs, planar carbon MEAs, and fuzzy graphene MEAs. The VG-MEA supported repeated microelectroporation cycles within 1 h without impacting cellular behavior. VG-MEA also allowed continuous intracellular recording for up to 9 days and could be robustly reused for 9 cycles within a year. This VG-MEA platform provides promising tools for intracellular electrophysiology research.
Authors
- Qinhua Zhong
- Chuanjie Yao
- Minghao Li (ORCID: https://orcid.org/0000-0002-4655-1217)
- Xinshuo Huang
- Peng Yun (ORCID: https://orcid.org/0000-0003-3887-729X)
- Yunuo Wang
- Yong Li (ORCID: https://orcid.org/0000-0003-4038-0493)
- Zhengjie Liu (ORCID: https://orcid.org/0009-0004-8673-0078)
- Yijing Cai
- Lisheng Hou
- Jing Liu
- Hui-jiuan Chen
- Xingyuan Xu
- Suhang Liu
Institutions
- Sun Yat-sen University (CN)
- The Seventh Affiliated Hospital of Sun Yat-sen University (CN)
- Key Laboratory of Guangdong Province (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- First Affiliated Hospital of Jinan University (CN)
- Shanxi Science and Technology Department (CN)
- State Key Laboratory of Optoelectronic Materials and Technology
Publication Details
- Journal
- ACS Nano
- Published
- 2026-04-03
- DOI
- https://doi.org/10.1021/acsnano.5c11260
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Guangdong Science and Technology Department
- Guangzhou Municipal Science and Technology Project
- National Key Research and Development Program of China
- Basic and Applied Basic Research Foundation of Guangdong Province