Stereolithographic 4D Bioprinting of Multiresponsive Architectures for Neural Engineering
Autor: | Xuan Zhou, Zhiyong Zhang, Se-Jun Lee, Kausik Sarkar, Haitao Cui, Lang Xia, Shida Miao, Lijie Grace Zhang, Margaret Nowicki, Wei Zhu |
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Rok vydání: | 2019 |
Předmět: |
Fabrication
Property (programming) Computer science Biomedical Engineering Soft robotics 02 engineering and technology Neural engineering Construct (python library) 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences General Biochemistry Genetics and Molecular Biology Article 0104 chemical sciences law.invention Biomaterials Computer architecture law 0210 nano-technology Internal stress Stereolithography 4d printing |
Zdroj: | Advanced biosystems. 2(9) |
ISSN: | 2366-7478 |
Popis: | 4D printing represents one of the most advanced fabrication techniques for prospective applications in tissue engineering, biomedical devices, and soft robotics, among others. In this study, a novel multiresponsive architecture is developed through stereolithography-based 4D printing, where a universal concept of stress-induced shape transformation is applied to achieve the 4D reprogramming. The light-induced graded internal stress followed by a subsequent solvent-induced relaxation, driving an autonomous and reversible change of the programmed configuration after printing, is employed and investigated in depth and details. Moreover, the fabricated construct possesses shape memory property, offering a characteristic of multiple shape change. Using this novel multiple responsive 4D technique, a proof-of-concept smart nerve guidance conduit is demonstrated on a graphene hybrid 4D construct providing outstanding multifunctional characteristics for nerve regeneration including physical guidance, chemical cues, dynamic self-entubulation, and seamless integration. By employing this fabrication technique, creating multiresponsive smart architectures, as well as demonstrating application potential, this work paves the way for truly initiation of 4D printing in various high-value research fields. |
Databáze: | OpenAIRE |
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