Lu Chuanwei, Gong Sijie, Xia Yu, Xu Ning, Yu Juan, Wang Chunpeng, Wang Jifu, Yong Qiang, Chu Fuxiang
Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, Nanjing Forestry University, Nanjing 210037, China.
Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, Nanjing Forestry University, Nanjing 210037, China.
Int J Biol Macromol. 2025 Sep;322(Pt 1):146706. doi: 10.1016/j.ijbiomac.2025.146706. Epub 2025 Aug 8.
The development of mechanically tunable and self-strengthening hydrogels for advanced electronic applications is highly desirable but remains a challenge. Muscles, as force-bearing tissues, could autonomously grow to adapt to the surrounding environment through cyclic disassembly and reconstruction of muscle fibers by mechanical training. Inspired by this biological feature, we presented a mechanical training enhancement strategy for preparing self-strengthening conductive composite hydrogels. The polyvinyl alcohol (PVA) acted as the hydrogel matrix, MXene serving as conductive medium realized high conductivity (679.6 mS/m), and the incorporation of carboxymethyl cellulose (CMC) not only prevented MXene self-stacking but also strengthened hydrogen bonding interactions and chain entanglement density. During mechanical training process, the nanocrystalline domains of the PVA chain were reoriented into a highly ordered structure, while the decrease in average distance between neighboring nanocrystalline domains increased the density of nanocrystalline domains in the cross-section. As a result, the prestretched composite hydrogel demonstrated enhanced tensile strength of 1356.1 kPa and toughness of 2962.2 kJ/m, which were 4.4 and 6.4 times of the initial composite hydrogel, respectively. The composite hydrogels were successfully employed as strain sensors for monitoring human motions. This work demonstrated a promising approach to developing self-strengthening soft materials for advanced applications.
开发用于先进电子应用的机械可调谐且自增强的水凝胶是非常可取的,但仍然是一项挑战。肌肉作为承载力量的组织,可以通过机械训练对肌肉纤维进行循环拆解和重建,从而自主生长以适应周围环境。受这一生物学特性的启发,我们提出了一种用于制备自增强导电复合水凝胶的机械训练增强策略。聚乙烯醇(PVA)作为水凝胶基质,MXene作为导电介质实现了高电导率(679.6 mS/m),而羧甲基纤维素(CMC)的加入不仅防止了MXene的自堆叠,还增强了氢键相互作用和链缠结密度。在机械训练过程中,PVA链的纳米晶域重新排列成高度有序的结构,而相邻纳米晶域之间平均距离的减小增加了横截面中纳米晶域的密度。结果,预拉伸的复合水凝胶表现出增强的拉伸强度,为1356.1 kPa,韧性为2962.2 kJ/m,分别是初始复合水凝胶的4.4倍和6.4倍。该复合水凝胶已成功用作监测人体运动的应变传感器。这项工作展示了一种开发用于先进应用的自增强软材料的有前景的方法。