Hybrid diacrylate resin-gelatin methacryloyl composite with bone-to-brain stiffness range
| dc.contributor.author | Naghavi Zadeh, Mohammad | en |
| dc.contributor.author | Patel, Kapil D. | en |
| dc.contributor.author | Gosden, Daniel | en |
| dc.contributor.author | Smith, James A. | en |
| dc.contributor.author | Gates, Paul J. | en |
| dc.contributor.author | Qi, Qiukai | en |
| dc.contributor.author | Scarpa, Fabrizio | en |
| dc.contributor.author | Conn, Andrew | en |
| dc.contributor.author | Perriman, Adam W. | en |
| dc.contributor.author | Rossiter, Jonathan | en |
| dc.date.accessioned | 2025-12-17T21:40:40Z | |
| dc.date.available | 2025-12-17T21:40:40Z | |
| dc.date.issued | 2025-10-02 | en |
| dc.description.abstract | Biointerfacing techniques for connecting implants to living tissues are advancing, but matching stiffness at hard-soft interfaces, such as between tendon and bone, remains challenging. This is critical for improving biomechanical tissue models, repairing trauma, and integrating soft robotic technologies like artificial muscles. Here we introduce a 3D-printable, biocompatible composite combining a hydrogel (gelatin methacryloyl) with a hybrid resin of diacrylates and epoxide. By adjusting the mixture ratio, the material’s elastic modulus spans a wide physiological range, from 15 kPa (soft brain tissue) to 1.4 GPa (similar to bone), covering six orders of magnitude. Mechanical tests confirm this tunability, and cytocompatibility tests show high cell viability, proliferation, and metabolic activity. The approach offers a path to creating efficient gradient stiffness interfaces, potentially leading to more accurate tissue phantoms and devices for human body repair and augmentation, especially where continuous hard-to-soft transitions are essential. | en |
| dc.description.sponsorship | We would like to thank Dr. Yusuf Mahadik for his support in the tensile testing of samples. We also thank Professor Michael Whitehouse and Dr. James Armstrong for fruitful discussions on bone-tendon interfaces and gradient manufacturing. We would like to thank Professor Paul May for offering access to the Raman spectroscopy setup. The authors gratefully acknowledge the Wolfson Bioimaging Facility at the University of Bristol for their support and assistance with CLSM and FE-SEM imaging. M.N., K.P., F.S., A.C., A.P., and J.R. are supported by the EPSRC grant EP/T020792/1 (emPOWER). FS also acknowledges the support of the ERC-2020-AdG 101020715 NEUROMETA project. D.G. is supported by the EPSRC Center for Doctoral Training in Future Autonomous and Robotic Systems, United Kingdom (FARSCOPE, grant EP/L015293/1). J.R. was supported through EPSRC research grants EP/V026518/1, EP/S026096/1, EP/R02961X/1, and by the Royal Academy of Engineering as a Chair in Emerging Technologies (CIET1718/22). | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 14 | en |
| dc.identifier.other | ORCID:/0000-0003-2205-9364/work/196795570 | en |
| dc.identifier.other | ORCID:/0000-0002-0393-9166/work/196798032 | en |
| dc.identifier.scopus | 105017558193 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733796439 | |
| dc.language.iso | en | en |
| dc.provenance | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en |
| dc.rights | © 2025 The Author(s) | en |
| dc.source | Communications Materials | en |
| dc.title | Hybrid diacrylate resin-gelatin methacryloyl composite with bone-to-brain stiffness range | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.contributor.affiliation | Naghavi Zadeh, Mohammad; University of Bristol | en |
| local.contributor.affiliation | Patel, Kapil D.; Genome Sciences and Cancer Division, John Curtin School of Medical Research, ANU College of Science and Medicine, The Australian National University | en |
| local.contributor.affiliation | Gosden, Daniel; University of Bristol | en |
| local.contributor.affiliation | Smith, James A.; University of Bristol | en |
| local.contributor.affiliation | Gates, Paul J.; University of Bristol | en |
| local.contributor.affiliation | Qi, Qiukai; University of Bristol | en |
| local.contributor.affiliation | Scarpa, Fabrizio; University of Bristol | en |
| local.contributor.affiliation | Conn, Andrew; University of Bristol | en |
| local.contributor.affiliation | Perriman, Adam W.; Biological Chemistry, Research School of Chemistry, ANU College of Science and Medicine, The Australian National University | en |
| local.contributor.affiliation | Rossiter, Jonathan; University of Bristol | en |
| local.identifier.citationvolume | 6 | en |
| local.identifier.doi | 10.1038/s43246-025-00931-y | en |
| local.identifier.pure | 7ea3cb77-452a-4704-ad8e-289e8d8945e2 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/105017558193 | en |
| local.type.status | Published | en |
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