A nanowell-based MoS2 neuroelectrode for high-sensitivity neural recording
Implantable neural electrodes are crucial in neurological diagnosis and therapy because of their ultra-high spatial resolution, but they are constrained by high impedance and insufficient charge injection capacity, resulting in noise that often obscures valuable signals. Emerging nanotechnologies are powerful tools to improve sensitivity and biocompatibility. Herein, we developed quantized 2D MoS<sub>2</sub> electrodes by incorporating bioactive MoS<sub>2</sub> nanosheets onto bare electrodes, achieving sensitive, compatible recording. The 2D materials can create tiny nanowells, which behaved as quantized charge storage units and thus improved sensitivity. The key sensitivity indicators, impedance and cathode charge storage capacity, showed a multifold increase. The 17.7-fold improvement in catalytic activity of MoS<sub>2</sub> electrodes facilitated effective current transmission and reduced inflammatory response. <i>In vivo</i> recording showed that the sensitivity of local field potentials increased throughout frequency range and peaked at a 4.7-fold in β rhythm. This work provides a general strategy for achieving effective diagnoses of neurological disorders.
Authors
- Renpeng Liu (ORCID: https://orcid.org/0000-0002-3471-2861)
- Shuangjie Liu (ORCID: https://orcid.org/0000-0003-3180-5197)
- Yuqin Zhang (ORCID: https://orcid.org/0000-0002-1449-6209)
- Xiaoyu Mu (ORCID: https://orcid.org/0000-0002-6053-9775)
- Xinyu Sun (ORCID: https://orcid.org/0000-0001-6947-136X)
- Hao Wang
- Shaofang Zhang
- Kaijin Liu
- Yang Wang (ORCID: https://orcid.org/0000-0002-5861-6081)
- Xiaodong Zhang (ORCID: https://orcid.org/0000-0002-7528-9828)
- Ming Dong (ORCID: https://orcid.org/0000-0003-4939-1068)
- Wanyu Tang
- Zhaoliang Ni
Institutions
- Tianjin University (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- iScience
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1016/j.isci.2024.110949
- Citations
- 3
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Tianjin University
- Natural Science Foundation of Tianjin City
- National Key Research and Development Program of China