Hierarchically Restructured Antibacterial Electrodes for Neural Interfaces: Electrochemical and Microstructural Evolution under Extended Cycling
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide Hierarchically restructured platinum–iridium electrodes offer high electrochemical performance for neurostimulation and cardiac rhythm management devices but require added antibacterial functionality to reduce postsurgical infection risks. In this work, electrochemically active antibacterial platinum–iridium electrodes were developed using a two-step process. First, the electrodes were restructured using a femtosecond laser hierarchical surface restructuring. In the second step, reactive magnetron sputtering from a pure zinc target in an Ar/O 2 gas mixture was employed to deposit antibacterial zinc oxide (ZnO) thin films onto the hierarchical surface structure of the electrodes, thereby imparting antibacterial properties. X-ray diffraction and X-ray photoelectron spectroscopy confirmed the formation of ZnO. The electrochemical performance of the electrodes increased with the ZnO film deposition time. This enhancement is attributed to the nonconformal nature of the ZnO layer over the complex electrode topography, as revealed by scanning electron microscopy (SEM). SEM imaging combined with energy-dispersive spectroscopy (EDS) mapping after electrochemical cycling revealed the gradual dissolution of ZnO into the electrolyte and the recrystallization of ZnO on the electrode surface after 1,500 cyclic voltammetry (CV) cycles (24 h), likely due to the confined electrolyte environment. Electrodes coated with ZnO films exhibited significant antibacterial activity against Escherichia coli and Staphylococcus aureus bacterial strains in vitro . The findings of this work highlight a promising strategy for developing multifunctional, electrochemically active antibacterial electrodes for next-generation neural interfacing electrodes.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Neuroscience and Neural Engineering · Photoreceptor and optogenetics research · Vagus Nerve Stimulation Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials Science and Engineering
Drexel University
Pulse Technologies Inc. (An Integer Holdings Company)
Department of Mechanical Engineering
Villanova University
Department of Chemical and Biological Engineering
Department of Chemistry and Biochemistry
Rowan University
Biomedical Engineering Department
University of Connecticut
Funding
Pennsylvania Department of Community and Economic Development
References (52)
Show source-provided references
1. 10.1002/msj.2128910.1002/msj.21289 ↗
2. Ordonez J. S. · 2012 · 2012 · 513410.1109/EMBC.2012.6347149 ↗
3. 10.1016/j.idc.2011.09.00610.1016/j.idc.2011.09.006 ↗
4. 10.1109/RBME.2011.217240810.1109/RBME.2011.2172408 ↗
5. 10.1016/j.jacc.2016.10.06110.1016/j.jacc.2016.10.061 ↗
6. 10.31128/AJGP-12-17-443910.31128/AJGP-12-17-4439 ↗
7. Eljamel S. · 201310.1002/9781118346396 ↗
8. 10.1038/s41598-022-18161-410.1038/s41598-022-18161-4 ↗
9. 10.1038/s41378-024-00754-w10.1038/s41378-024-00754-w ↗
10. 10.1002/admi.20240001710.1002/admi.202400017 ↗
11. 10.1111/iwj.1206110.1111/iwj.12061 ↗
12. 10.1016/j.suc.2021.05.02710.1016/j.suc.2021.05.027 ↗
13. 10.1111/epi.1659310.1111/epi.16593 ↗
14. Krames E. · 2018
15. 10.1016/j.jamcollsurg.2016.10.02910.1016/j.jamcollsurg.2016.10.029 ↗
16. 10.1038/nrmicro283610.1038/nrmicro2836 ↗
17. 10.1016/j.cobme.2022.10040610.1016/j.cobme.2022.100406 ↗
18. Geyao L. · 2020 · 89 · 250
19. Schmitz, T. Functional Coatings by Physical Vapor Deposition (PVD) for Biomedical Applications. Ph.D. Thesis, Universität Würzburg, 2016.
20. 10.1186/s11671-020-03418-610.1186/s11671-020-03418-6 ↗
21. 10.3389/fbioe.2022.95334410.3389/fbioe.2022.953344 ↗
22. 10.1016/j.bioactmat.2021.01.03010.1016/j.bioactmat.2021.01.030 ↗
23. 10.1007/s11947-012-0797-610.1007/s11947-012-0797-6 ↗
24. 10.1016/j.jinorgbio.2012.02.00810.1016/j.jinorgbio.2012.02.008 ↗
25. 10.1016/j.matchemphys.2010.01.02010.1016/j.matchemphys.2010.01.020 ↗
26. 10.1016/j.tiv.2009.05.01510.1016/j.tiv.2009.05.015 ↗
27. 10.1016/j.pnsc.2008.01.02610.1016/j.pnsc.2008.01.026 ↗
28. 10.1016/j.jiec.2016.10.01310.1016/j.jiec.2016.10.013 ↗
29. 10.1088/1468-6996/9/3/03500410.1088/1468-6996/9/3/035004 ↗
30. 10.1007/s00449-022-02733-910.1007/s00449-022-02733-9 ↗
31. 10.1021/acs.langmuir.5b0226610.1021/acs.langmuir.5b02266 ↗
32. 10.1039/C6TB00033A10.1039/C6TB00033A ↗
33. 10.1016/S0969-2126(98)00153-110.1016/S0969-2126(98)00153-1 ↗
34. 10.1063/1.274232410.1063/1.2742324 ↗
35. 10.1016/j.nano.2010.10.00110.1016/j.nano.2010.10.001 ↗
36. 10.1038/s41598-023-47256-910.1038/s41598-023-47256-9 ↗
37. 10.1088/1741-2552/aac43c10.1088/1741-2552/aac43c ↗
38. 10.1146/annurev.bioeng.10.061807.16051810.1146/annurev.bioeng.10.061807.160518 ↗
39. 10.1093/ajcp/45.4_ts.49310.1093/ajcp/45.4_ts.493 ↗
40. 10.1063/1.219882110.1063/1.2198821 ↗
41. 10.1016/j.rinp.2016.04.00110.1016/j.rinp.2016.04.001 ↗
42. 10.1016/j.physb.2010.03.02010.1016/j.physb.2010.03.020 ↗
43. Moulder J. F. · 1992
44. 10.1021/acs.chemmater.3c0080110.1021/acs.chemmater.3c00801 ↗
45. Samsonov G. V. · 2013
46. 10.1021/acs.jpclett.4c0261610.1021/acs.jpclett.4c02616 ↗
47. 10.1039/c1jm11225b10.1039/c1jm11225b ↗
48. 10.1021/cm200764h10.1021/cm200764h ↗
49. 10.1063/1.362262710.1063/1.3622627 ↗
50. 10.1021/jz300253p10.1021/jz300253p ↗
51. 10.1021/jz200879a10.1021/jz200879a ↗
52. 10.1021/jz401472c10.1021/jz401472c ↗