Tough, Resorbable Polycaprolactone-Based Bimodal Networks for Vat Polymerization 3D Printing
Samson, Kerr D.G., Hidalgo-Alvarez, Veronica, Dargaville, Tim R., & Melchels, Ferry P.W. (2023) Tough, Resorbable Polycaprolactone-Based Bimodal Networks for Vat Polymerization 3D Printing. Advanced Functional Materials, 33(25), Article number: 2213797.
Open access copy at publisher website
Description
Vat polymerization allows for the accurate and fast fabrication of personalized implants and devices. While the technology advances rapidly and more materials become available, the fabrication of flexible yet tough resorbable materials for biomedical applications remains a challenge. Here, a formulation that can be 3D printed with high accuracy using vat polymerization, yielding materials that are tough, degradable, and non-toxic is presented. This unique combination of properties is obtained by combining a long-chain polycaprolactone macromonomer with a small molecule cross-linker. A wide range of properties is achieved by tuning the ratio of these components. The use of benzyl alcohol as a non-volatile, benign solvent enables fabrication on a low-cost desktop 3D printer, with an exposure time of 8 s per 50-micron layer. The 3D-printed networks are tough and elastic with a tensile strength of 11 MPa at 116% elongation at break. Cells attach and proliferate on the networks with a viability of >91%. The networks are fully degradable to soluble products. This new 3D printable material opens up a range of opportunities in biomedical engineering and personalized medicine.
Impact and interest:
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ID Code: | 239943 | ||
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Item Type: | Contribution to Journal (Journal Article) | ||
Refereed: | Yes | ||
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Additional Information: | Funding Information: The authors thank the Biotechnology and Biological Sciences Research Council for funding (BB/R007616/1); Dr. Jessica Valli at the Edinburgh Super‐Resolution Imaging Consortium for her assistance with microscopy; Prof Jayne Hope, Prof Vicki Stone, and Ms. Lindsey Waddell for providing cells and for their help and advice; and Ms. Nevena Paunovic, Prof. Jean‐Christophe Leroux, and Prof. Mark Tibbitt at ETH Zürich for providing the stent design files. | ||
Measurements or Duration: | 11 pages | ||
Keywords: | additive manufacturing, bimodal networks, polycaprolactone, resins, stereolithography | ||
DOI: | 10.1002/adfm.202213797 | ||
ISSN: | 1616-301X | ||
Pure ID: | 132918522 | ||
Divisions: | Current > Research Centres > Centre for Materials Science Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Chemistry & Physics |
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Funding Information: | The authors thank the Biotechnology and Biological Sciences Research Council for funding (BB/R007616/1); Dr. Jessica Valli at the Edinburgh Super‐Resolution Imaging Consortium for her assistance with microscopy; Prof Jayne Hope, Prof Vicki Stone, and Ms. Lindsey Waddell for providing cells and for their help and advice; and Ms. Nevena Paunovic, Prof. Jean‐Christophe Leroux, and Prof. Mark Tibbitt at ETH Zürich for providing the stent design files. | ||
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Copyright Owner: | 2023 The Authors | ||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
Deposited On: | 30 May 2023 06:25 | ||
Last Modified: | 30 Jul 2025 12:00 |
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