Raje, Komal and Ohashi, Keisuke and Fujita, Satoshi (2023) Three-Dimensional Printer-Assisted Electrospinning for Fabricating Intricate Biological Tissue Mimics. Nanomaterials, 13 (22). p. 2913. ISSN 2079-4991
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Abstract
Although regenerative medicine necessitates advanced three-dimensional (3D) scaffolds for organ and tissue applications, creating intricate structures across scales, from nano- to meso-like biological tissues, remains a challenge. Electrospinning of nanofibers offers promise due to its capacity to craft not only the dimensions and surfaces of individual fibers but also intricate attributes, such as anisotropy and porosity, across various materials. In this study, we used a 3D printer to design a mold with polylactic acid for gel modeling. This gel template, which was mounted on a metal wire, facilitated microfiber electrospinning. After spinning, these structures were treated with EDTA to remove the template and were then cleansed and dried, resulting in 3D microfibrous (3DMF) structures, with average fiber diameters of approximately 1 µm on the outer and inner surfaces. Notably, these structures matched their intended design dimensions without distortion or shrinkage, demonstrating the adaptability of this method for various template sizes. The cylindrical structures showed high elasticity and stretchability with an elastic modulus of 6.23 MPa. Furthermore, our method successfully mimicked complex biological tissue structures, such as the inner architecture of the voice box and the hollow partitioned structure of the heart’s tricuspid valve. Achieving specific intricate shapes required multiple spinning sessions and subsequent assemblies. In essence, our approach holds potential for crafting artificial organs and forming the foundational materials for cell culture scaffolds, addressing the challenges of crafting intricate multiscale structures.
Item Type: | Article |
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Subjects: | STM Academic > Materials Science |
Depositing User: | Unnamed user with email support@stmacademic.com |
Date Deposited: | 09 Nov 2023 07:59 |
Last Modified: | 09 Nov 2023 07:59 |
URI: | http://article.researchpromo.com/id/eprint/1743 |