A bioinspired and hierarchically structured shape-memory material
Shape-memory polymeric materials lack long-range molecular order that enables more controlled and efficient actuation mechanisms. Here, we develop a hierarchical structured keratin-based system that has long-range molecular order and shape-memory properties in response to hydration. We explore the m...
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| Published in | Nature materials Vol. 20; no. 2; pp. 242 - 249 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
01.02.2021
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Shape-memory polymeric materials lack long-range molecular order that enables more controlled and efficient actuation mechanisms. Here, we develop a hierarchical structured keratin-based system that has long-range molecular order and shape-memory properties in response to hydration. We explore the metastable reconfiguration of the keratin secondary structure, the transition from α-helix to β-sheet, as an actuation mechanism to design a high-strength shape-memory material that is biocompatible and processable through fibre spinning and three-dimensional (3D) printing. We extract keratin protofibrils from animal hair and subject them to shear stress to induce their self-organization into a nematic phase, which recapitulates the native hierarchical organization of the protein. This self-assembly process can be tuned to create materials with desired anisotropic structuring and responsiveness. Our combination of bottom-up assembly and top-down manufacturing allows for the scalable fabrication of strong and hierarchically structured shape-memory fibres and 3D-printed scaffolds with potential applications in bioengineering and smart textiles.
Shear-aligned keratin protofibres are used to fabricate shape-memory fibres and three-dimensional scaffolds that respond to water. |
|---|---|
| AbstractList | Shape-memory polymeric materials lack long-range molecular order that enables more controlled and efficient actuation mechanisms. Here, we develop a hierarchical structured keratin-based system that has long-range molecular order and shape-memory properties in response to hydration. We explore the metastable reconfiguration of the keratin secondary structure, the transition from α-helix to β-sheet, as an actuation mechanism to design a high-strength shape-memory material that is biocompatible and processable through fibre spinning and three-dimensional (3D) printing. We extract keratin protofibrils from animal hair and subject them to shear stress to induce their self-organization into a nematic phase, which recapitulates the native hierarchical organization of the protein. This self-assembly process can be tuned to create materials with desired anisotropic structuring and responsiveness. Our combination of bottom-up assembly and top-down manufacturing allows for the scalable fabrication of strong and hierarchically structured shape-memory fibres and 3D-printed scaffolds with potential applications in bioengineering and smart textiles.Shape-memory polymeric materials lack long-range molecular order that enables more controlled and efficient actuation mechanisms. Here, we develop a hierarchical structured keratin-based system that has long-range molecular order and shape-memory properties in response to hydration. We explore the metastable reconfiguration of the keratin secondary structure, the transition from α-helix to β-sheet, as an actuation mechanism to design a high-strength shape-memory material that is biocompatible and processable through fibre spinning and three-dimensional (3D) printing. We extract keratin protofibrils from animal hair and subject them to shear stress to induce their self-organization into a nematic phase, which recapitulates the native hierarchical organization of the protein. This self-assembly process can be tuned to create materials with desired anisotropic structuring and responsiveness. Our combination of bottom-up assembly and top-down manufacturing allows for the scalable fabrication of strong and hierarchically structured shape-memory fibres and 3D-printed scaffolds with potential applications in bioengineering and smart textiles. Shape-memory polymeric materials lack long-range molecular order that enables more controlled and efficient actuation mechanisms. Here, we develop a hierarchical structured keratin-based system that has long-range molecular order and shape-memory properties in response to hydration. We explore the metastable reconfiguration of the keratin secondary structure, the transition from α-helix to β-sheet, as an actuation mechanism to design a high-strength shape-memory material that is biocompatible and processable through fibre spinning and three-dimensional (3D) printing. We extract keratin protofibrils from animal hair and subject them to shear stress to induce their self-organization into a nematic phase, which recapitulates the native hierarchical organization of the protein. This self-assembly process can be tuned to create materials with desired anisotropic structuring and responsiveness. Our combination of bottom-up assembly and top-down manufacturing allows for the scalable fabrication of strong and hierarchically structured shape-memory fibres and 3D-printed scaffolds with potential applications in bioengineering and smart textiles. Shear-aligned keratin protofibres are used to fabricate shape-memory fibres and three-dimensional scaffolds that respond to water. Shape-memory polymeric materials lack long-range molecular order that enables more controlled and efficient actuation mechanisms. Here, we develop a hierarchical structured keratin-based system that has long-range molecular order and shape-memory properties in response to hydration. We explore the metastable reconfiguration of the keratin secondary structure, the transition from α-helix to β-sheet, as an actuation mechanism to design a high-strength shape-memory material that is biocompatible and processable through fibre spinning and three-dimensional (3D) printing. We extract keratin protofibrils from animal hair and subject them to shear stress to induce their self-organization into a nematic phase, which recapitulates the native hierarchical organization of the protein. This self-assembly process can be tuned to create materials with desired anisotropic structuring and responsiveness. Our combination of bottom-up assembly and top-down manufacturing allows for the scalable fabrication of strong and hierarchically structured shape-memory fibres and 3D-printed scaffolds with potential applications in bioengineering and smart textiles. Shape-memory polymeric materials lack long-range molecular order that enables more controlled and efficient actuation mechanisms. Here, we develop a hierarchical structured keratin-based system that has long-range molecular order and shape-memory properties in response to hydration. We explore the metastable reconfiguration of the keratin secondary structure, the transition from α-helix to β-sheet, as an actuation mechanism to design a high-strength shape-memory material that is biocompatible and processable through fibre spinning and three-dimensional (3D) printing. We extract keratin protofibrils from animal hair and subject them to shear stress to induce their self-organization into a nematic phase, which recapitulates the native hierarchical organization of the protein. This self-assembly process can be tuned to create materials with desired anisotropic structuring and responsiveness. Our combination of bottom-up assembly and top-down manufacturing allows for the scalable fabrication of strong and hierarchically structured shape-memory fibres and 3D-printed scaffolds with potential applications in bioengineering and smart textiles.Shear-aligned keratin protofibres are used to fabricate shape-memory fibres and three-dimensional scaffolds that respond to water. |
| Author | Gonzalez, Grant M. Choi, Suji Parker, Kevin Kit Lee, Juncheol Gabardi, Rudy Shin, Kwanwoo Cera, Luca Liu, Qihan Choi, Myung Chul Chantre, Christophe O. |
| Author_xml | – sequence: 1 givenname: Luca surname: Cera fullname: Cera, Luca organization: Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University – sequence: 2 givenname: Grant M. surname: Gonzalez fullname: Gonzalez, Grant M. organization: Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University – sequence: 3 givenname: Qihan surname: Liu fullname: Liu, Qihan organization: Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University – sequence: 4 givenname: Suji surname: Choi fullname: Choi, Suji organization: Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University – sequence: 5 givenname: Christophe O. surname: Chantre fullname: Chantre, Christophe O. organization: Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University – sequence: 6 givenname: Juncheol orcidid: 0000-0002-7218-2072 surname: Lee fullname: Lee, Juncheol organization: Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST) – sequence: 7 givenname: Rudy surname: Gabardi fullname: Gabardi, Rudy organization: Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University – sequence: 8 givenname: Myung Chul surname: Choi fullname: Choi, Myung Chul organization: Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST) – sequence: 9 givenname: Kwanwoo surname: Shin fullname: Shin, Kwanwoo organization: Department of Chemistry and Institute of Biological Interfaces, Sogang University – sequence: 10 givenname: Kevin Kit orcidid: 0000-0002-5968-7535 surname: Parker fullname: Parker, Kevin Kit email: kkparker@seas.harvard.edu organization: Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32868876$$D View this record in MEDLINE/PubMed |
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| Snippet | Shape-memory polymeric materials lack long-range molecular order that enables more controlled and efficient actuation mechanisms. Here, we develop a... |
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| SubjectTerms | 639/301/54 639/638 Actuation Biocompatibility Bioengineering Biomaterials Biomimetics Chemistry and Materials Science Condensed Matter Physics Fabrication Fibers Keratin Keratins - chemistry Materials Science Nanotechnology Optical and Electronic Materials Printing, Three-Dimensional Reconfiguration Scaffolds Self-assembly Shape memory Shear stress Smart materials Smart Materials - chemistry Spinning (materials) Structural hierarchy Textiles Three dimensional printing Tissue Engineering Tissue Scaffolds - chemistry |
| Title | A bioinspired and hierarchically structured shape-memory material |
| URI | https://link.springer.com/article/10.1038/s41563-020-0789-2 https://www.ncbi.nlm.nih.gov/pubmed/32868876 https://www.proquest.com/docview/2481414144 https://www.proquest.com/docview/2439623010 |
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