Long‐Term Stable Neural Interfaces with Nanoporous Graphene Electrodes and Hybrid Polyimide‐Aluminium Oxide Encapsulation

Graphene-based thin film technology holds great promise for next-generation neural interfaces due to graphene´s electrical, electrochemical, and mechanical properties. However, the long-term reliability of this technology remains a challenge, primarily due to the instability of thin-film encapsulation in physiological environments. While standard ceramic encapsulation is robust, it is not compatible with the miniaturization required for minimally invasive implants. This study demonstrates the successful integration of a hybrid encapsulation strategy, combining polyimide with atomic layer deposited (ALD) Al<sub>2</sub>O<sub>3</sub>, with nanoporous reduced graphene oxide (rGO) microelectrodes, resulting in chronically stable graphene-based neural interfaces. The encapsulation robustness is validated using flexible interdigitated electrodes (IDEs) subjected to accelerated aging and continuous electrical stress. IDEs demonstrated stable performance after soaking for over 1.5 years in phosphate buffer saline (PBS) at 57 °C. Nanoporous graphene microelectrodes combined with the proposed encapsulation retained their structural integrity and electrochemical performance after soaking for 377 days in PBS at 57 °C, withstanding 1 billion biphasic pulses at very high charge density (1 mC cm<sup>-</sup> <sup>2</sup>) and hundreds of bending cycles without noticeable performance deterioration. This work establishes a long-term stable graphene-based neural interface combining nanoporous rGO electrodes and a hybrid polyimide/Al<sub>2</sub>O<sub>3</sub> encapsulation, demonstrating a key technology advancement for the use of graphene neural interfaces in chronic brain monitoring and neuromodulation applications.

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Publication Details

Journal
Small Methods
Published
2025-11-10
DOI
https://doi.org/10.1002/smtd.202501720
Citations
1
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.91

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article

Long‐Term Stable Neural Interfaces with Nanoporous Graphene Electrodes and Hybrid Polyimide‐Aluminium Oxide Encapsulation

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1 citations
Small Methods
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article

Long‐Term Stable Neural Interfaces with Nanoporous Graphene Electrodes and Hybrid Polyimide‐Aluminium Oxide Encapsulation

Xavi Illa, José A. Garrido, Nicola Ria, Elena del Corro, Eduard Masvidal‐Codina, Georgios Alexandros Katirtsidis
article en
1 citations

Abstract

Graphene-based thin film technology holds great promise for next-generation neural interfaces due to graphene´s electrical, electrochemical, and mechanical properties. However, the long-term reliability of this technology remains a challenge, primarily due to the instability of thin-film encapsulation in physiological environments. While standard ceramic encapsulation is robust, it is not compatible with the miniaturization required for minimally invasive implants. This study demonstrates the successful integration of a hybrid encapsulation strategy, combining polyimide with atomic layer deposited (ALD) Al<sub>2</sub>O<sub>3</sub>, with nanoporous reduced graphene oxide (rGO) microelectrodes, resulting in chronically stable graphene-based neural interfaces. The encapsulation robustness is validated using flexible interdigitated electrodes (IDEs) subjected to accelerated aging and continuous electrical stress. IDEs demonstrated stable performance after soaking for over 1.5 years in phosphate buffer saline (PBS) at 57 °C. Nanoporous graphene microelectrodes combined with the proposed encapsulation retained their structural integrity and electrochemical performance after soaking for 377 days in PBS at 57 °C, withstanding 1 billion biphasic pulses at very high charge density (1 mC cm<sup>-</sup> <sup>2</sup>) and hundreds of bending cycles without noticeable performance deterioration. This work establishes a long-term stable graphene-based neural interface combining nanoporous rGO electrodes and a hybrid polyimide/Al<sub>2</sub>O<sub>3</sub> encapsulation, demonstrating a key technology advancement for the use of graphene neural interfaces in chronic brain monitoring and neuromodulation applications.

Small MethodsVol. 9(12)
Institució Catalana de Recerca i Estudis Avançats (ES), Universitat Autònoma de Barcelona (ES), Institut Català de Nanociència i Nanotecnologia (ES), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES), National Research Council (LK), Institut de Microelectrònica de Barcelona (ES)
Ministerio de Ciencia, Innovación y Universidades, Centres de Recerca de Catalunya, Institut Català de Nanociència i Nanotecnologia, European Commission, Generalitat de Catalunya, Ministerio de Ciencia e Innovación, Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, HORIZON EUROPE Framework Programme, Instituto de Salud Carlos III, Staatssekretariat für Bildung, Forschung und Innovation, Agencia Estatal de Investigación
Openalex Percentile: Top 20%
Neuroscience and Neural Engineering
0.91
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