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  5. Fabrication and Characterization of Recombinant Silk‐Elastin‐Like‐Protein (SELP) Fiber

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Article
en
2018

Fabrication and Characterization of Recombinant Silk‐Elastin‐Like‐Protein (SELP) Fiber

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0 Files

en
2018
Vol 18 (12)
Vol. 18
DOI: 10.1002/mabi.201800265

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David Kaplan
David Kaplan

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Erin G. Roberts
Nae‐Gyune Rim
Wenwen Huang
+5 more

Abstract

Silk-elastin-like-protein polymers (SELPs) are genetically engineered recombinant protein sequences consisting of repeating units of silk-like and elastin-like blocks. By combining these entities, it is shown that both the characteristic strength of silk and the temperature-dependent responsiveness of elastin can be leveraged to create an enhanced stimuli-responsive material. It is hypothesized that SELP behavior can be influenced by varying the silk-to-elastin ratio. If the responsiveness of the material at different ratios is significantly different, this would allow for the design of materials with specific temperature-based swelling and mechanical properties. This study demonstrates that SELP fiber properties can be controlled via a temperature transition dependent on the ratio of silk-to-elastin in the material. SELP fibers are experimentally wet spun from polymers with different ratios of silk-to-elastin and conditioned in either a below or above transition temperature (T t ) water bath prior to characterization. The fibers with higher elastin content showed more stimuli-responsive behavior compared to the fibers with lower elastin content in the hot (57-60 °C) versus cold (4-7 °C) environment, both computationally and experimentally. This work builds a foundation for developing SELP materials with well-characterized mechanical properties and responsive features.

How to cite this publication

Erin G. Roberts, Nae‐Gyune Rim, Wenwen Huang, Anna Tarakanova, Jingjie Yeo, Markus J. Buehler, David Kaplan, Joyce Wong (2018). Fabrication and Characterization of Recombinant Silk‐Elastin‐Like‐Protein (SELP) Fiber. , 18(12), DOI: https://doi.org/10.1002/mabi.201800265.

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Publication Details

Type

Article

Year

2018

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/mabi.201800265

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