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Direct growth of carbon nanotubes on new high-density 3D pyramid-shaped microelectrode arrays for brain-machine interfaces

Bahareh Ghane Motlagh, May Choueib, Alireza Hajhosseini Mesgar, Md. Hasanuzzaman and Mohamad Sawan

Article (2016)

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Cite this document: Ghane Motlagh, B., Choueib, M., Hajhosseini Mesgar, A., Hasanuzzaman, M. & Sawan, M. (2016). Direct growth of carbon nanotubes on new high-density 3D pyramid-shaped microelectrode arrays for brain-machine interfaces. Micromachines, 7(9), p. 1-17. doi:10.3390/mi7090163
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Abstract

Silicon micromachined, high-density, pyramid-shaped neural microelectrode arrays (MEAs) have been designed and fabricated for intracortical 3D recording and stimulation. The novel architecture of this MEA has made it unique among the currently available micromachined electrode arrays, as it has provided higher density contacts between the electrodes and targeted neural tissue facilitating recording from different depths of the brain. Our novel masking technique enhances uniform tip-exposure for variable-height electrodes and improves process time and cost significantly. The tips of the electrodes have been coated with platinum (Pt). We have reported for the first time a selective direct growth of carbon nanotubes (CNTs) on the tips of 3D MEAs using the Pt coating as a catalyzer. The average impedance of the CNT-coated electrodes at 1 kHz is 14 k. The CNT coating led to a 5-fold decrease of the impedance and a 600-fold increase in charge transfer compared with the Pt electrode.

Uncontrolled Keywords

brain-machine interface; microelectrode arrays; microfabrication technologies; carbon nanotubes; electrode Impedance

Open Access document in PolyPublie
Subjects: 1900 Génie biomédical > 1900 Génie biomédical
1900 Génie biomédical > 1901 Technologie biomédicale
Department: Département de génie électrique
Département de génie physique
Research Center: Autre
Funders: CRSNG/NSERC, Canadian Research Chair in Smart Medical Devices
Date Deposited: 09 Jan 2019 12:43
Last Modified: 10 Jan 2019 01:20
PolyPublie URL: https://publications.polymtl.ca/3510/
Document issued by the official publisher
Journal Title: Micromachines (vol. 7, no. 9)
Publisher: MDPI
Official URL: https://doi.org/10.3390/mi7090163

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