Implantable Electrodes with Carbon Nanotube Coatings

Minnikanti, Saugandhika; Peixoto, Nathalia

doi:10.5772/17980

Cited by 9 publications

(9 citation statements)

References 86 publications

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“…Up to now, different procedures have been proposed to coat CNTs on neural interfaces such as electrochemical deposition, electrophoresis, layer-by-layer assembly and direct growth [144].…”

Section: Selective Direct Growth Of Cnts On the Tips Of 3d Meas Usingmentioning

confidence: 99%

High-density 3D pyramid-shaped microelectrode arrays for brain-machine interface applications

Motlagh

2014

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings

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“…Up to now, different procedures have been proposed to coat CNTs on neural interfaces such as electrochemical deposition, electrophoresis, layer-by-layer assembly and direct growth [144].…”

Section: Selective Direct Growth Of Cnts On the Tips Of 3d Meas Usingmentioning

confidence: 99%

High-density 3D pyramid-shaped microelectrode arrays for brain-machine interface applications

Motlagh

2014

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings

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“…In particular, compared to conventional bioelectrode materials, CNT and graphene-based composites have increased flexibility, tensile strength, specific capacitance, signal-to-noise ratio (SNR), electrical conductivity, thermal stability, etc. [ 11 , 12 ]. However, to achieve superior properties of composites, proper dispersion and good interfacial bonds between filler nanoparticles and the polymer matrix have to be guaranteed, which is quite a challenging task due to the tendency of nanoparticles to form agglomerates because of strong van der Waals interactions.…”

Section: Introductionmentioning

confidence: 99%

Biocompatible, Electroconductive, and Highly Stretchable Hybrid Silicone Composites Based on Few-Layer Graphene and CNTs

et al. 2021

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In this paper, we report a cost-effective and scalable approach to produce highly homogeneous graphene and CNT-based silicone composites with potential applications in diverse fields of research, including biosensors and wearable electronics. This approach includes the fabrication of hybrid fillers based on few-layer graphene and CNTs by water solution blending and manufacturing of graphene/CNT/PDMS composites through calendering in a three-roll mill. The influence of processing parameters, the graphene/CNT ratio, and hybrid filler loading was thoroughly investigated, and the optimal parameters for producing hybrid composites with superior electrical and mechanical properties were found. It was also confirmed that the graphene/CNT hybrid system exhibits a synergistic effect of non-covalent interactions between graphene sheets and CNT sidewalls. This synergistic effect prevents the aggregation of graphene sheets, facilitates the dispersion of graphene and CNTs in the silicone matrix, and contributes to the superior properties of hybrid composites compared to composites with either of these fillers alone.

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“…The use of nanotechnology in modern neuroscience has enabled therapeutic regenerative strategies by exploiting direct or specific interactions between biological cells and synthetic nanomaterials. In this paper, the nanoscale characteristics and dimensions of CNTs facilitate the molecular interplay among live cells, including neurons [9, 10]. Consequently, experimental studies on MC‐based CNT conductors have been carried out [11], and a stable switch‐based molecular interconnection for coupling molecules and CNTs has been proposed [12].…”

Section: Introductionmentioning

confidence: 99%

Engineering molecular communications integrated with carbon nanotubes in neural sensor nanonetworks

El-atty¹,

Lizos

Gharsseldien³

et al. 2018

IET nanobiotechnol.

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There have been recent advances in the engineering of molecular communication (MC)-based networks for nanomedical applications. However, the integration of MC with biomaterials such as carbon nanotubes (CNTs) presents various critical research challenges. In this study, the authors envisaged integrating MC-based nanonetwork with CNTs to optimise nanonetwork performance. In neural networks, a chronic reduction in the concentration of the neurotransmitter acetylcholine (ACh) eventually leads to the development of neurodegenerative diseases; therefore, they used CNTs as a molecular switch to optimise ACh conductivity supported by artificial MC. Furthermore, MC enables communication between transmitter neurons and receiver neurons for fine-tuning the ACh release rate according to the feedback concentration of ACh. Subsequently, they proposed a min/max feedback scheme to fine-tune the expected throughput and ACh transmission efficiency. For demonstration purposes, they deduced analytical forms for the proposed schemes in terms of throughput, incurred traffic rates, and average packet delay.

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Implantable Electrodes with Carbon Nanotube Coatings

Cited by 9 publications

References 86 publications

High-density 3D pyramid-shaped microelectrode arrays for brain-machine interface applications

High-density 3D pyramid-shaped microelectrode arrays for brain-machine interface applications

Biocompatible, Electroconductive, and Highly Stretchable Hybrid Silicone Composites Based on Few-Layer Graphene and CNTs

Engineering molecular communications integrated with carbon nanotubes in neural sensor nanonetworks

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