Monolithic Integration of 2D and 3D Carbon MEMS-Based Multi-Microelectrode Arrays for Neural Interfaces-on-Chip

High Resolution Image Download MS PowerPoint Slide Microelectrodes play a crucial role in Nervous System-on-Chip (NoC) technologies by enabling advanced neural circuit modeling. However, challenges remain in electrode patternability, design flexibility, scalability, long-term insulation reliability, and biocompatibility, while standard microfabrication processes restrict the integration of functional materials for advanced MEA designs. Despite significant progress in bioelectronic materials, electrode−tissue interfaces remain a major bottleneck. Carbon offers excellent biocompatibility and mechanical and chemical robustness but remains challenging to pattern compared to conventional metallic electrodes. Consequently, carbon microelectrodes are increasingly explored for real-time monitoring of neurotransmitters, key indicators of neural network activity. Complex multimaterial architectures and aggressive pretreatment strategies are often employed to enhance performance; however, limited control over the resulting electrode structures hampers a clear correlation between microelectrode behavior and design. Optimizing electrode dimensions and geometry is therefore critical for improving design versatility and spatial resolution. Here, we present a modular multi-microelectrode array (MEA) platform based on pyrolytic carbon (PyC), enabling the monolithic integration of multiple electrode geometries, inter-electrode spacings, and 3D micropillar architecture within a single, unified fabrication process. Lithographically defined PyC microelectrodes were fabricated from SU-8 photoresist via pyrolysis. The fabricated MEAs were validated using cyclic voltammetry measurements. Through geometric tuning within this modular design, ultramicroelectrode-like behavior was achieved using scalable, low-cost photolithographic fabrication. A 3D PyC microelectrode (20 μm diameter, 400 μm inter-electrode spacing) demonstrated a dopamine detection limit of 5 nM over a concentration range of 0.01−100 μM. Biocompatibility of the PyC surfaces was confirmed through cell viability assays using SH-SY5Y neuroblastoma cells after 10 days of culture.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2026-06-16
DOI
https://doi.org/10.1021/acsaelm.6c00229
Primary Topic
Neuroscience and Neural Engineering
Type
article
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article

Monolithic Integration of 2D and 3D Carbon MEMS-Based Multi-Microelectrode Arrays for Neural Interfaces-on-Chip

Sami Franssila, Lingju Meng, Joonas J. Heikkinen, Yağmur Demircan Yalçın et al.
ACS Applied Electronic Materials
Neuroscience and Neural Engineering
article

Monolithic Integration of 2D and 3D Carbon MEMS-Based Multi-Microelectrode Arrays for Neural Interfaces-on-Chip

Sami Franssila, Lingju Meng, Joonas J. Heikkinen, Yağmur Demircan Yalçın, Ville P. Jokinen, Anas Al‐Azawi, Yalda Shoja, Noora Isoaho, Jouko Lahtinen, Pei‐Yin Chi, Henrik Romppainen, Regina Luttge
article en

Abstract

High Resolution Image Download MS PowerPoint Slide Microelectrodes play a crucial role in Nervous System-on-Chip (NoC) technologies by enabling advanced neural circuit modeling. However, challenges remain in electrode patternability, design flexibility, scalability, long-term insulation reliability, and biocompatibility, while standard microfabrication processes restrict the integration of functional materials for advanced MEA designs. Despite significant progress in bioelectronic materials, electrode−tissue interfaces remain a major bottleneck. Carbon offers excellent biocompatibility and mechanical and chemical robustness but remains challenging to pattern compared to conventional metallic electrodes. Consequently, carbon microelectrodes are increasingly explored for real-time monitoring of neurotransmitters, key indicators of neural network activity. Complex multimaterial architectures and aggressive pretreatment strategies are often employed to enhance performance; however, limited control over the resulting electrode structures hampers a clear correlation between microelectrode behavior and design. Optimizing electrode dimensions and geometry is therefore critical for improving design versatility and spatial resolution. Here, we present a modular multi-microelectrode array (MEA) platform based on pyrolytic carbon (PyC), enabling the monolithic integration of multiple electrode geometries, inter-electrode spacings, and 3D micropillar architecture within a single, unified fabrication process. Lithographically defined PyC microelectrodes were fabricated from SU-8 photoresist via pyrolysis. The fabricated MEAs were validated using cyclic voltammetry measurements. Through geometric tuning within this modular design, ultramicroelectrode-like behavior was achieved using scalable, low-cost photolithographic fabrication. A 3D PyC microelectrode (20 μm diameter, 400 μm inter-electrode spacing) demonstrated a dopamine detection limit of 5 nM over a concentration range of 0.01−100 μM. Biocompatibility of the PyC surfaces was confirmed through cell viability assays using SH-SY5Y neuroblastoma cells after 10 days of culture.

ACS Applied Electronic Materials
NanoScale Corporation (United States) (US), Eindhoven University of Technology (NL), Aalto University (FI)
Openalex Percentile: Top 10%
Neuroscience and Neural Engineering
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