journal article·2024-02Open access

A Nanozyme‐Based Electrode for High‐Performance Neural Recording

Shuangjie Liu, Yang Wang, Yue Zhao, Ling Liu, Si Sun, Shaofang Zhang, Haile Liu, Shuhu Liu, Yonghui Li, Fan Yang, Menglu Jiao, Xinyu Sun, Yuqin Zhang, Renpeng Liu, Xiaoyu Mu, Hao Wang, Shu Zhang, Jiang Yang, Xi Xie, Xiaojie Duan, Jianning Zhang, Guosong Hong, Xiao‐Dong Zhang, Dong Ming

Advanced Materials· Volume 36· Issue 6

Abstract

Abstract Implanted neural electrodes have been widely used to treat brain diseases that require high sensitivity and biocompatibility at the tissue–electrode interface. However, currently used clinical electrodes cannot meet both these requirements simultaneously, which hinders the effective recording of electronic signals. Herein, nanozyme‐based neural electrodes incorporating bioinspired atomically precise clusters are developed as a general strategy with a heterogeneous design for multiscale and ultrasensitive neural recording via quantum transport and biocatalytic processes. Owing to the dual high‐speed electronic and ionic currents at the electrode–tissue interface, the impedance of nanozyme electrodes is 26 times lower than that of state‐of‐the‐art metal electrodes, and the acquisition sensitivity for the local field potential is ≈10 times higher than that of clinical PtIr electrodes, enabling a signal‐to‐noise ratio (SNR) of up to 14.7 dB for single‐neuron recordings in rats. The electrodes provide more than 100‐fold higher antioxidant and multi‐enzyme‐like activities, which effectively decrease 67% of the neuronal injury area by inhibiting glial proliferation and allowing sensitive and stable neural recording. Moreover, nanozyme electrodes can considerably improve the SNR of seizures in acute epileptic rats and are expected to achieve precise localization of seizure foci in clinical settings.
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Research context

OpenAlex topics: Advanced Nanomaterials in Catalysis · Neuroscience and Neural Engineering · Electrochemical sensors and biosensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Tianjin Key Laboratory of Brain Science and Neural Engineering Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin 300072 China

Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology School of Science Tianjin University Tianjin 300354 China

Beijing Synchrotron Radiation Facility (BSRF) Institute of High Energy Physics (IHEP) Chinese Academy of Sciences (CAS) Beijing 100049 China

Department of Materials Science and Engineering Stanford University Stanford California 94305 USA

Tianjin Neurological Institute Department of Neurosurgery General Hospital Tianjin Medical University Tianjin 300041 China

School of Electronics and Information Technology and Medicine Sun Yat‐sen University Guangzhou 510060 China

Department of Biomedical Engineering College of Engineering Peking University Beijing 100871 China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · China Postdoctoral Science Foundation

References (69)

Show source-provided references
1. 10.1038/nn.390510.1038/nn.3905 ↗
2. 10.1038/s41583-019-0140-610.1038/s41583-019-0140-6 ↗
3. 10.1038/s41563-019-0292-910.1038/s41563-019-0292-9 ↗
4. 10.1038/nmeth.396910.1038/nmeth.3969 ↗
5. 10.1159/00050383110.1159/000503831 ↗
6. 10.1093/braincomms/fcaa08210.1093/braincomms/fcaa082 ↗
7. 10.1038/s41565-020-0634-410.1038/s41565-020-0634-4 ↗
8. 10.1038/s41551-017-0154-110.1038/s41551-017-0154-1 ↗
9. 10.1038/natrevmats.2016.9310.1038/natrevmats.2016.93 ↗
10. 10.1038/s41467-020-20546-w10.1038/s41467-020-20546-w ↗
11. 10.1038/s41565-017-0041-710.1038/s41565-017-0041-7 ↗
12. 10.1038/s41565-020-0747-910.1038/s41565-020-0747-9 ↗
13. 10.1038/s41565-021-00926-z10.1038/s41565-021-00926-z ↗
14. 10.1038/nmat346810.1038/nmat3468 ↗
15. 10.1038/nenergy.2016.13810.1038/nenergy.2016.138 ↗
16. 10.1038/nnano.2015.11510.1038/nnano.2015.115 ↗
17. 10.1021/jacs.2c0672410.1021/jacs.2c06724 ↗
18. 10.1038/nnano.2008.17410.1038/nnano.2008.174 ↗
19. 10.1126/sciadv.150022210.1126/sciadv.1500222 ↗
20. 10.1038/nature0937910.1038/nature09379 ↗
21. 10.1126/sciadv.170015910.1126/sciadv.1700159 ↗
22. 10.1002/adma.20180586710.1002/adma.201805867 ↗
23. 10.1038/s41467-020-15570-910.1038/s41467-020-15570-9 ↗
24. 10.1038/s41563-018-0249-410.1038/s41563-018-0249-4 ↗
25. 10.1016/j.neuro.2019.12.01110.1016/j.neuro.2019.12.011 ↗
26. 10.1002/jat.346810.1002/jat.3468 ↗
27. 10.1038/nmat462410.1038/nmat4624 ↗
28. 10.1038/ncomms257310.1038/ncomms2573 ↗
29. 10.1038/s41551-018-0335-610.1038/s41551-018-0335-6 ↗
30. 10.1038/nn.297310.1038/nn.2973 ↗
31. 10.1038/nnano.2011.24910.1038/nnano.2011.249 ↗
32. 10.1038/nbt.342810.1038/nbt.3428 ↗
33. 10.1038/s41467-020-20275-010.1038/s41467-020-20275-0 ↗
34. 10.1088/1741-2560/12/5/05601810.1088/1741-2560/12/5/056018 ↗
35. 10.1039/D0TA06022D10.1039/D0TA06022D ↗
36. 10.1021/acsnano.8b0780710.1021/acsnano.8b07807 ↗
37. 10.1088/1742-6596/712/1/01206610.1088/1742-6596/712/1/012066 ↗
38. 10.1021/jp204922m10.1021/jp204922m ↗
39. 10.1021/jacs.8b0930610.1021/jacs.8b09306 ↗
40. 10.1021/acsabm.0c0086110.1021/acsabm.0c00861 ↗
41. 10.1016/j.bios.2017.07.03010.1016/j.bios.2017.07.030 ↗
42. 10.1021/acsnano.5b0106010.1021/acsnano.5b01060 ↗
43. 10.1038/s41587-020-0495-210.1038/s41587-020-0495-2 ↗
44. 10.1016/j.bios.2020.11241310.1016/j.bios.2020.112413 ↗
45. 10.1038/s41565-020-00805-z10.1038/s41565-020-00805-z ↗
46. 10.1038/nbt.309310.1038/nbt.3093 ↗
47. 10.1103/PhysRevB.91.09430610.1103/PhysRevB.91.094306 ↗
48. 10.1126/sciadv.160164910.1126/sciadv.1601649 ↗
49. 10.1002/aenm.20220437610.1002/aenm.202204376 ↗
50. 10.1038/s41467-019-08657-510.1038/s41467-019-08657-5 ↗
51. 10.1038/s41565-020-00799-810.1038/s41565-020-00799-8 ↗
52. 10.1021/ja806804u10.1021/ja806804u ↗
53. 10.1126/sciadv.170023110.1126/sciadv.1700231 ↗
54. 10.1002/anie.20191218210.1002/anie.201912182 ↗
55. 10.1002/anie.20181399410.1002/anie.201813994 ↗
56. 10.1038/s41467-018-03903-810.1038/s41467-018-03903-8 ↗
57. 10.1038/s41467-021-22278-x10.1038/s41467-021-22278-x ↗
58. 10.1016/j.bios.2020.11264510.1016/j.bios.2020.112645 ↗
59. 10.1038/nrneurol.2010.17810.1038/nrneurol.2010.178 ↗
60. 10.1021/acs.nanolett.8b0445610.1021/acs.nanolett.8b04456 ↗
61. 10.1186/1476-4598-12-8610.1186/1476-4598-12-86 ↗
62. 10.1073/pnas.182106811610.1073/pnas.1821068116 ↗
63. 10.1046/j.1528-1157.2003.03603.x10.1046/j.1528-1157.2003.03603.x ↗
64. 10.1038/s41551-020-00618-410.1038/s41551-020-00618-4 ↗
65. 10.3389/fnins.2018.0086210.3389/fnins.2018.00862 ↗
66. 10.1038/nature2463610.1038/nature24636 ↗
67. 10.1016/j.bios.2019.11166110.1016/j.bios.2019.111661 ↗
68. 10.1038/s41570-018-0010-110.1038/s41570-018-0010-1 ↗
69. 10.1038/s41578-021-00284-110.1038/s41578-021-00284-1 ↗