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Engineered collagen–PEO nanofibers and fabrics

Huang, Lei, Nagapudi, Karthik, P.Apkarian, Robert, Chaikof, Elliot L.·2001·Journal of Biomaterials Science, Polymer Edition

Abstract

Type I collagen-PEO fibers and non-woven fiber networks were produced by the electrospinning of a weak acid solution of purified collagen at ambient temperature and pressure. As determined by high-resolution SEM and TEM. fiber morphology was influenced by solution viscosity, conductivity, and flow rate. Uniform fibers with a diameter range of 100-150 nm were produced from a 2-wt% solution of collagen-PEO at a flow rate of 100 microl min(-1). Ultimate tensile strength and elastic modulus of the resulting non-woven fabrics was dependent upon the chosen weight ratio of the collagen-PEO blend. 1H NMR dipolar magnetization transfer analysis suggested that the superior mechanical properties, observed for collagen-PEO blends of weight ratio 1:1, were due to the maximization of intermolecular interactions between the PEO and collagen components. The process outlined herein provides a convenient, non-toxic, non-denaturing approach for the generation collagen-containing nanofibers and non-woven fabrics that have potential application in wound healing, tissue engineering, and as hemostatic agents.

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Metadata

Authors
Huang, L., Nagapudi, K., P.Apkarian, R., & Chaikof, E. L.
Venue
Journal of Biomaterials Science, Polymer Edition
Published
2001-01
Volume
12
Issue
9
Pages
979-993
ISSN
  • 0920-5063 (ISSN-L)
  • 1568-5624
OpenAlex
W2065672036
Cited by
501
References
0
FWCI
7.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Engineered collagen–PEO nanofibers and fabrics. https://app.cochat.ai/papers/10.1163/156856201753252516
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Huang, L., Nagapudi, K., P.Apkarian, R., & Chaikof, E. L. (2001). Engineered collagen–PEO nanofibers and fabrics. Journal of Biomaterials Science, Polymer Edition. https://doi.org/10.1163/156856201753252516

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.