High‐Performance MXene/PEDOT‐PSS Microscale Fiber Electrodes for Neural Recording and Stimulation
Abstract The pursuit of advanced neural interfaces hinges on developing electrode materials with enhanced cathodic charge storage capacity (CSCc), charge injection capacity (CIC), and low impedance. 2D nanomaterials, particularly MXenes, have emerged as leading candidates due to their outstanding electrical properties. However, current fabrication strategies have not fully leveraged the potential of MXene, limiting the performance gains in neural recording and stimulation applications. Here, a novel microscale fiber electrode (MPP) engineered from Ti₃C₂ MXene and PEDOT‐PSS using a two‐step solidification wet spinning process is presented. These 30 µm fibers exhibit a conductivity of (2.16 ± 1.46) × 10⁵ S m −1 , low interfacial impedance, and high CSCc and CIC, achieving substantial improvements in signal fidelity and stimulation efficiency. The MPP electrodes demonstrate robust electrochemical stability, biocompatibility, and magnetic resonance imaging (MRI) compatibility, excelling across various modalities, including electroencephalography (EEG), electromyography (EMG), electrocardiography (ECG), cortical recordings, and subthalamic nucleus deep brain stimulation (STN‐DBS). These results mark a significant step toward scalable, high‐performance neural interfaces that can transform neurotherapeutic applications.
Authors
- Peixuan Li (ORCID: https://orcid.org/0000-0001-6520-9938)
- Yang Shu (ORCID: https://orcid.org/0000-0002-1596-5943)
- Zhanhong Du (ORCID: https://orcid.org/0000-0001-6535-1424)
- Guo‐Qiang Bi (ORCID: https://orcid.org/0000-0001-8735-3818)
- Shuchun Gou
Institutions
- Shenzhen University (CN)
- Chinese Academy of Sciences (CN)
- HKUST Shenzhen Research Institute (CN)
- Hefei National Center for Physical Sciences at Nanoscale (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1002/adfm.202424236
- Citations
- 10
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 9.09
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- National Natural Science Foundation of China-Guangdong Joint Fund