Dynamic and programmable cellular-scale granules enable tissue-like materials
Yin Fang, Endao Han, Xin-Xing Zhang, Yuanwen Jiang, Yiliang Lin,, Jiuyun Shi, Jiangbo Wu, Lingyuan Meng, Xiang Gao, Philip J. Griffin, Xianghui, Xiao, Hsiu-Ming Tsai, Hua Zhou, Xiaobing Zuo, Qing Zhang, Miaoqi Chu,, Qingteng Zhang, Ya Gao, Leah K. Roth, Reiner Bleher, Zhiyuan Ma

TL;DR
This paper introduces starch granule-based composites that mimic tissue-like properties in hydrogels, enabling advanced robotic skins with dynamic, programmable, and self-healing features through detailed mechanical analysis.
Contribution
It demonstrates the use of cellular-scale hydrated starch granules to create tissue-like, programmable, and self-healing hydrogel composites with potential robotic applications.
Findings
Starch granules induce strain-stiffening and anisotropy.
Mechanical behaviors are revealed via synchrotron X-ray techniques.
Hydrogel composites exhibit tissue-like properties such as impact absorption and self-healability.
Abstract
Tissue-like materials are required in many robotic systems to improve human-machine interactions. However, the mechanical properties of living tissues are difficult to replicate. Synthetic materials are not usually capable of simultaneously displaying the behaviors of the cellular ensemble and the extracellular matrix. A particular challenge is identification of a cell-like synthetic component which is tightly integrated with its matrix and also responsive to external stimuli at the population level. Here, we demonstrate that cellular-scale hydrated starch granules, an underexplored component in materials science, can turn conventional hydrogels into tissue-like materials when composites are formed. Using several synchrotron-based X-ray techniques, we reveal the mechanically-induced motion and training dynamics of the starch granules in the hydrogel matrix. These dynamic behaviors…
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Taxonomy
TopicsAdvanced Materials and Mechanics · Cellular Mechanics and Interactions · Electrospun Nanofibers in Biomedical Applications
