Single-Walled Carbon Nanotube Polyelectrolyte Multilayers and Freestanding Films as a Biocompatible Platform for Neuroprosthetic Implants
Layer‐by‐layer (LBL) assembly has been used to prepare single‐walled carbon nanotube (SWNT) freestanding structures that can be used for implantable devices with unique mechanical and electrical properties (see Figure). The thin LBL membranes prepared are biocompatible and support extensive neurite...
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Published in: | Advanced materials (Weinheim) Vol. 17; no. 22; pp. 2663 - 2670 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Weinheim
WILEY-VCH Verlag
18-11-2005
WILEY‐VCH Verlag |
Subjects: | |
Online Access: | Get full text |
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Summary: | Layer‐by‐layer (LBL) assembly has been used to prepare single‐walled carbon nanotube (SWNT) freestanding structures that can be used for implantable devices with unique mechanical and electrical properties (see Figure). The thin LBL membranes prepared are biocompatible and support extensive neurite outgrowth. The stretched fiber‐like LBL freestanding films exhibit neuronal guiding. The SWNT structures described may potentially enable connectivity between neurons. |
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Bibliography: | ark:/67375/WNG-8LG6B04S-L The authors thank the funding agencies including NSF BioPhotonics (BES-0119483 NAK), NSF CAREER award CHE-9876265 NAK) and NSF EPSCoR grant EPS-0132534. The authors also thank Prof. Alexander A. Yaroslavov (Lomonosov Moscow State University) for his kind supply of the amphiphilic polymer used in the study. M.K.G. thanks Phoebi Doss for her assistance with SEM sample preparation. ArticleID:ADMA200500366 istex:A30D19D07B5C40BD1D7ABBC55E5B6C1AF5ECB055 The authors thank the funding agencies including NSF BioPhotonics (BES‐0119483 NAK), NSF CAREER award CHE‐9876265 NAK) and NSF EPSCoR grant EPS‐0132534. The authors also thank Prof. Alexander A. Yaroslavov (Lomonosov Moscow State University) for his kind supply of the amphiphilic polymer used in the study. M.K.G. thanks Phoebi Doss for her assistance with SEM sample preparation. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0935-9648 1521-4095 |
DOI: | 10.1002/adma.200500366 |