Optimizing growth and post treatment of diamond for high capacitance neural interfaces

Wei Tong; Kate Fox; Akram Zamani; Ann M Turnley; Kumaravelu Ganesan; Arman Ahnood; Rosemary Cicione; Hamish Meffin; Steven Prawer; Alastair Stacey; David J Garrett

Journal article

Optimizing growth and post treatment of diamond for high capacitance neural interfaces

Wei Tong, Kate Fox, Akram Zamani, Ann M Turnley, Kumaravelu Ganesan, Arman Ahnood, Rosemary Cicione, Hamish Meffin, Steven Prawer, Alastair Stacey, David J Garrett

BIOMATERIALS | ELSEVIER SCI LTD | Published : 2016

DOI: 10.1016/j.biomaterials.2016.07.006

Abstract

Electrochemical and biological properties are two crucial criteria in the selection of the materials to be used as electrodes for neural interfaces. For neural stimulation, materials are required to exhibit high capacitance and to form intimate contact with neurons for eliciting effective neural responses at acceptably low voltages. Here we report on a new high capacitance material fabricated using nitrogen included ultrananocrystalline diamond (N-UNCD). After exposure to oxygen plasma for 3 h, the activated N-UNCD exhibited extremely high electrochemical capacitance greater than 1 mF/cm(2), which originates from the special hybrid sp(2)/sp(3) structure of N-UNCD. The in vitro biocompatibili..

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University of Melbourne Researchers

Arman Ahnood Author Physics

Steven Prawer Author Physics

Hamish Meffin Author Biomedical Engineering

Wei Tong Author Physics

Alastair Stacey Author Physics

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Grants

Awarded by Australian Research Council (ARC) DECRA grant

Funding Acknowledgements

The authors wish to acknowledge the facilities and the scientific assistance of the Australian Microscopy & Microanalysis Research Facility at the RMIT Microscopy & Microanalysis Facility at RMIT University, and the Australian Synchrotron. A part of this research was undertaken on the Soft X-ray beamline at the Australian Synchrotron, Victoria, Australia. DJG is supported by an Australian Research Council (ARC) DECRA grant DE130100922. This research was supported by the ARC through its Special Research Initiative (SRI) in Bionic Vision Science and Technology grant to Bionic Vision Australia (BVA).