Multifunctional Composite Coating-Enhanced Flexible Microelectrodes for Chronic, High-Fidelity Neural Signal Recording
Implantable flexible neuroelectrodes are critical for brain-computer interface (BCI) applications. However, conventional flexible electrodes often face challenges such as increased electrochemical impedance upon miniaturization, mechanical mismatch with brain tissue, and implantation-induced damage, all of which compromise long-term signal stability and recording quality. Here, we present a multifunctional surface modification strategy to address these limitations. By integrating polycaprolactone/silk fibroin-methacrylate (PCL-SFMA) nanofibers loaded with anti-inflammatory minocycline hydrochloride (MH), nanostructured poly(3,4-ethylenedioxythiophene) (PEDOT) for impedance reduction, and a bioactive SFMA hydrogel layer for seamless neural integration, we developed a composite-coated flexible microelectrode (Au-PCLSFMA-PEDOT-GEL). Comprehensive in vitro and in vivo evaluations demonstrated that the modified electrode exhibited low impedance, enhanced biocompatibility, improved biointegration, and effective mitigation of both acute and chronic inflammation. Long-term electrophysiological recordings in freely moving mice revealed stable, high-fidelity neural signal acquisition for up to 8 months, maintaining a signal-to-noise ratio of approximately 20. This work establishes a durable and functionally stable neural interface, offering a promising platform for long-term neuroscience research and the development of next-generation BCIs.
Authors
- Yijia Cao
- Meng Wu (ORCID: https://orcid.org/0000-0001-6424-8177)
- Yi Cao (ORCID: https://orcid.org/0000-0001-7590-2373)
- Jine Wang (ORCID: https://orcid.org/0000-0002-0172-3847)
- Weihua Pei (ORCID: https://orcid.org/0000-0002-1631-0199)
- Weihao Zhu
- Ying Xiang
- Tingting Cheng
- Yuyang Sun (ORCID: https://orcid.org/0000-0003-3519-6915)
- Xuan He (ORCID: https://orcid.org/0000-0003-1318-6441)
- Renjun Pei (ORCID: https://orcid.org/0000-0002-9353-3935)
- Ji Pang
Institutions
- Shanghai University (CN)
- Beijing Institute of Technology (CN)
- University of Science and Technology of China (CN)
- Solid State Physics Laboratory (IN)
- American Association of Colleges of Pharmacy (US)
- Chinese Academy of Sciences (CN)
- Suzhou Institute of Nano-tech and Nano-bionics (CN)
- Integrated Optoelectronics (Norway) (NO)
- Institute of Semiconductors (CN)
- Dezhou University (CN)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2025-12-14
- DOI
- https://doi.org/10.1021/acs.analchem.5c04799
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00