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通过氢键结合的分子间网络构建电和机械自修复弹性体。

Constructing Electrically and Mechanically Self-Healing Elastomers by Hydrogen Bonded Intermolecular Network.

机构信息

State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054, PR China.

出版信息

Langmuir. 2020 Mar 31;36(12):3029-3037. doi: 10.1021/acs.langmuir.0c00221. Epub 2020 Mar 19.

DOI:10.1021/acs.langmuir.0c00221
PMID:32176511
Abstract

One key limitation of artificial skin-like materials is the shortened service life caused by mechanical damages during practical applications. The ability to self-heal can effectively extend the material service life, reduce the maintenance cost, and ensure safety. Therefore, it is important and necessary to fabricate materials with simultaneously mechanical and electrical self-healing behavior in a facile and convenient way. Herein, we report a stretchable and conductive self-healing elastomer based on intermolecular networks between poly(acrylic acid) (PAA) and reduced graphene oxide (rGO) through a facile and convenient postreduction and one-pot method. The introduction of rGO provides the PAA-GO elastomers with good mechanical stability and electrical properties. Moreover, this material exhibited both electrical and mechanical self-healing properties. After cutting, the elastomers self-healed quickly (∼30 s) and efficiently (∼95%) at room temperature. The elastomers were accurate and reliable in detecting external strain even after healing. The elastomers were further applied for strain sensors, which were attached directly to human skin to monitor external movements, including finger bending and wrist twisting.

摘要

人工皮肤样材料的一个主要局限性是在实际应用中机械损伤导致的使用寿命缩短。自修复能力可以有效地延长材料的使用寿命,降低维护成本,确保安全。因此,用简单方便的方法制备同时具有机械和电自修复行为的材料非常重要和必要。在此,我们通过简便的后还原和一锅法,报告了一种基于聚(丙烯酸)(PAA)和还原氧化石墨烯(rGO)之间分子间网络的可拉伸导电自修复弹性体。rGO 的引入为 PAA-GO 弹性体提供了良好的机械稳定性和电性能。此外,这种材料表现出了电和机械自修复性能。切割后,弹性体在室温下快速(约 30 s)、高效(约 95%)自修复。即使在修复后,弹性体也能准确可靠地检测外部应变。弹性体进一步被应用于应变传感器,该传感器直接附着在人皮肤上,以监测包括手指弯曲和手腕扭转在内的外部运动。

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