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Related Experiment Video

Updated: Dec 10, 2025

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
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A bioinspired and hierarchically structured shape-memory material.

Luca Cera1, Grant M Gonzalez1, Qihan Liu1

  • 1Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.

Nature Materials
|September 2, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel keratin-based material with long-range molecular order for shape-memory applications. This biocompatible system utilizes protein reconfiguration for controlled actuation, enabling strong, processable fibers and scaffolds.

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Area of Science:

  • Materials Science
  • Biomaterials Engineering
  • Polymer Science

Background:

  • Conventional shape-memory polymers often lack the long-range molecular order needed for precise actuation.
  • Hierarchical structuring in protein-based materials offers potential for advanced mechanical properties and controlled responses.

Purpose of the Study:

  • To develop a biocompatible, high-strength shape-memory material with inherent long-range molecular order.
  • To utilize keratin's self-assembly and structural reconfiguration for tunable shape-memory effects.
  • To explore scalable fabrication methods for advanced keratin-based materials.

Main Methods:

  • Extraction of keratin protofibrils from animal hair.
  • Induction of self-organization into a nematic phase via shear stress.
  • Exploration of keratin secondary structure reconfiguration (α-helix to β-sheet) for actuation.
  • Processing via fiber spinning and 3D printing.

Main Results:

  • A hierarchical structured keratin-based system exhibiting shape-memory properties in response to hydration was developed.
  • The material demonstrates long-range molecular order, enabling controlled actuation.
  • High-strength, biocompatible, and processable fibers and 3D-printed scaffolds were fabricated.
  • Anisotropic structuring and responsiveness were achieved through tunable self-assembly.

Conclusions:

  • The developed keratin-based system offers a promising alternative to traditional shape-memory polymers.
  • The hierarchical structure and protein reconfiguration provide a robust mechanism for shape-memory actuation.
  • Scalable fabrication methods enable potential applications in bioengineering and smart textiles.