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Paper | Open Access

Fabrication of 3D-printed coiled PCL microfibrous bundles using alginate-based biocomposites for bone tissue engineering applications

Mohan Pei1,4Hanjun Hwangbo1,4GeunHyung Kim1,2,3 ( )
Department of Precision Medicine, Sungkyunkwan University School of Medicine (SKKU-SOM), Suwon 16419, Republic of Korea
Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Republic of Korea
Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University, Suwon 16419, Republic of Korea

4 These authors contributed equally to this work.

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Abstract

Biomedical scaffold fabrication has seen advancements in mimicking the native extracellular matrix through intricate three-dimensional (3D) structures conducive to tissue regeneration. Coiled fibrous scaffolds have emerged as promising substrates owing to their ability to provide unique topographical cues. In this study, coiled poly (ε-caprolactone) (PCL) fibrous bundles were fabricated using an alginate-based composite system, and processed with 3D printing. The unique structure was obtained through the die-swell phenomenon related to the release of residual stresses from the printed strut, thereby transforming aligned PCL fibers into coiled structures. The effects of printing parameters, such as pneumatic pressure and nozzle moving speed, on fiber morphology were investigated to ensure a consistent formation of coiled PCL fibers. The resulting coiled PCL fibrous scaffold demonstrated higher activation of mechanotransduction signaling as well as upregulation of osteogenic-related genes in human adipose stem cells (hASCs), supporting its potential in bone tissue engineering.

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International Journal of Extreme Manufacturing

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Cite this article:
Pei M, Hwangbo H, Kim G. Fabrication of 3D-printed coiled PCL microfibrous bundles using alginate-based biocomposites for bone tissue engineering applications. International Journal of Extreme Manufacturing, 2025, 7(2). https://doi.org/10.1088/2631-7990/ad91fa

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Received: 18 April 2024
Revised: 08 June 2024
Accepted: 13 November 2024
Published: 21 November 2024
© 2024 The Author(s).

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.