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可编程、可变形的折纸纤维素薄膜,用于磁控软机器人。

Programmable, Changeable, Origami Cellulose Films for Magnetically Controllable Soft Robots.

机构信息

Key Laboratory of Bio-Based Material Science & Technology (Ministry of Education), Northeast Forestry University, Harbin 150040, China.

College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

出版信息

ACS Appl Mater Interfaces. 2023 Jun 14;15(23):28442-28452. doi: 10.1021/acsami.3c01129. Epub 2023 May 30.

DOI:10.1021/acsami.3c01129
PMID:37249359
Abstract

Magnetic soft robots composed of stimuli-responsive materials are promising for biomedical engineering applications; however, typical responsive materials are fabricated with nondegradable polymeric substrates. In this study, we report a flexible, biodegradable, and magnetically sensitive cellulose film (M-film) that can be utilized for magnetically controllable soft robots (M-robots) with programmable locomotion, cargo delivery, and remote wireless operation functions. The M-film with good foldability, origami, and magnetic properties is synthesized by a simple paper-making process using cellulose nanofibers, additive sodium alginate, and BaFeO particles. Through the following origami-magnetization process, the M-robot with multimodal movements is designed: climbing over the obstacles in the walking environment; additionally, this process can complete various cargo transport tasks by clawing, rolling, and flipping. This approach expands the precise controllability and manipulability of environmentally friendly cellulose nanomaterials beyond the known applications and opens the prospects of their implementation in stimuli-responsive robots, wireless control electronics, and intelligent devices.

摘要

由刺激响应材料组成的磁性软机器人在生物医学工程应用中很有前景;然而,典型的响应材料是用不可降解的聚合物基底制造的。在这项研究中,我们报告了一种灵活、可生物降解和对磁敏感的纤维素膜(M 膜),它可用于具有可编程运动、货物输送和远程无线操作功能的磁性可控软机器人(M 机器人)。M 膜具有良好的可折叠性、折纸性和磁性,是通过使用纤维素纳米纤维、添加剂海藻酸钠和 BaFeO 颗粒的简单造纸工艺合成的。通过以下折纸磁化过程,设计了具有多模态运动的 M 机器人:在行走环境中攀爬障碍物;此外,该过程还可以通过抓握、滚动和翻转来完成各种货物运输任务。这种方法扩展了环保纤维素纳米材料的精确可控性和可操作性,超越了已知的应用,并为其在响应性机器人、无线控制电子和智能设备中的应用前景开辟了道路。

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