Preparation and Analysis of PCL Spun Chitosan Scaffolds as Guidance Channels for Peripheral Nerve Regeneration

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Behrens, Peter; Glasmacher, Birgit; Duda, Sven; Haastert – Talini, Kirsten: Preparation and Analysis of PCL Spun Chitosan Scaffolds as Guidance Channels for Peripheral Nerve Regeneration. In: Biomedical Engineering / Biomedizinische Technik 58 (2013), Nr. S1. DOI: http://dx.doi.org/10.1515/bmt-2013-4062

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Sum total of downloads: 245




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Abstract: 
The results of this work show that the process of oriented solidification and lyophilisation is able to produce porous chitosan scaffolds with appropriate porosity and pore size for nerve regeneration. Interesting in this context are the results of statistical analysis of image analysis from SEM micrographs of uncrosslinked and UV cross-linked samples. The average pore size and mean minimum pore diameter show only small differences if the cooling rate is varied from B = 1…5 K / min and the temperature gradient from G = 1, 1.5, 2.0 K / mm. The average pore size (cross sectional area) of these samples can be estimated with reasonable accuracy, with 2100 μm². The average minimum pore diameter is within the range of 36-38 μm. These values are in a favourable range for the cell growth of nerve regeneration.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2013-09-07
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 166 67.76%
2 image of flag of United States United States 27 11.02%
3 image of flag of China China 15 6.12%
4 image of flag of India India 5 2.04%
5 image of flag of South Africa South Africa 3 1.22%
6 image of flag of Italy Italy 3 1.22%
7 image of flag of Ireland Ireland 3 1.22%
8 image of flag of Singapore Singapore 2 0.82%
9 image of flag of Russian Federation Russian Federation 2 0.82%
10 image of flag of Indonesia Indonesia 2 0.82%
    other countries 17 6.94%

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