Chen Jiehao, Huang Jiahe, Hu Yuhang
The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
The School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
ACS Appl Mater Interfaces. 2021 Mar 24;13(11):12726-12734. doi: 10.1021/acsami.0c17622. Epub 2020 Dec 18.
Shape-memory hydrogels can be fixed to an arbitrary temporary shape and recover their permanent shape under appropriate stimulus conditions. Their shape-memory behavior and biocompatible mechanical and chemical properties impart them with many biomedical applications. However, like most hydrogels, traditional shape-memory hydrogels suffer from intrinsic brittleness due to the network inhomogeneity and high water content. In the past, the double network (DN) scheme has been proved a robust method to improve the mechanical performance of hydrogels. Although 3D printing of DN hydrogels has been realized before, 3D printable shape-memory DN hydrogels have not been achieved so far. In this work, we propose a one-pot method for printing a biocompatible shape-memory DN hydrogel via fused deposition method. The two networks incorporated to the hydrogel ink are polyacrylamide (PAAm) and gelatin. The PAAm network is covalently cross-linked and responsible for the permanent shape, while the gelatin network has thermoreversible cross-links and responsible for fixing the temporary shape. The DN hydrogel shows 3 to 7 times higher fracture toughness than a single network gelatin or PAAm hydrogel and can be fixed to 300% of its original length under tension and 10% of its original thickness under compression. The ink compositions are tuned for optimal printing quality and shape-memory performance. The robust mechanical integrity and dramatic shape transformation capability of the 3D-printed shape-memory DN hydrogel will open-up new potential applications in transformative medical robots and self-deployable devices.
形状记忆水凝胶可以固定成任意临时形状,并在适当的刺激条件下恢复其永久形状。它们的形状记忆行为以及生物相容的机械和化学性质使其具有许多生物医学应用。然而,与大多数水凝胶一样,传统的形状记忆水凝胶由于网络不均匀性和高含水量而具有固有的脆性。过去,双网络(DN)方案已被证明是一种提高水凝胶机械性能的有效方法。尽管之前已经实现了DN水凝胶的3D打印,但迄今为止尚未实现3D可打印的形状记忆DN水凝胶。在这项工作中,我们提出了一种通过熔融沉积法打印生物相容的形状记忆DN水凝胶的一锅法。掺入水凝胶油墨中的两个网络是聚丙烯酰胺(PAAm)和明胶。PAAm网络通过共价交联,负责永久形状,而明胶网络具有热可逆交联,负责固定临时形状。与单一网络的明胶或PAAm水凝胶相比,DN水凝胶的断裂韧性高3至7倍,在拉伸下可以固定到其原始长度的300%,在压缩下可以固定到其原始厚度的10%。对油墨成分进行调整以获得最佳打印质量和形状记忆性能。3D打印的形状记忆DN水凝胶强大的机械完整性和显著的形状转变能力将为变革性医疗机器人和可自我展开的设备开辟新的潜在应用。