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Sustainable Multiple- and Multistimulus-Shape-Memory and Self-Healing Elastomers with Semi-interpenetrating Network Derived from Biomass via Bulk Radical Polymerization
ACS Sustainable Chemistry & Engineering ( IF 8.4 ) Pub Date : 2018-03-28 00:00:00 , DOI: 10.1021/acssuschemeng.8b00329
Chuanwei Lu 1 , Yupeng Liu 1, 2 , Xiaohuan Liu 1, 3 , Chunpeng Wang 1, 2 , Jifu Wang 1, 2 , Fuxiang Chu 1, 2
Affiliation  

Sustainable shape-memory and self-healing elastomers with semi-interpenetrating network were prepared by a simple, efficient, and green bulk radical polymerization of ethyl cellulose, furfural, and fatty-acid-derived monomers. This approach could in situ one-pot form a semi-interpenetrating network elastomer with properties combining multiple-shape-memory and self-healing under solvent-free conditions. These elastomers were found to possess excellent multiple-shape-memory properties toward temperature, water, THF, and methanol. Moreover, the multiple-shape-memory properties could assist the self-healing of these elastomers, which was triggered by heating. Self-healing behavior studies showed that the presence of linear polymers in these elastomers could significantly improve the self-healing performance. This work provides a facile, efficient, and green approach in a solvent-free system to design new-generation sustainable, green, and functional materials.

中文翻译:

生物质通过本体自由基聚合衍生的具有半互穿网络的可持续多和多刺激形状记忆和自修复弹性体

通过简单,高效且绿色的乙基纤维素,糠醛和脂肪酸衍生单体的本体聚合反应,制备了具有半互穿网络的可持续形状记忆和自修复弹性体。这种方法可以在原位一锅形成半互穿网络弹性体,该弹性体具有在无溶剂条件下将多种形状记忆和自愈相结合的特性。发现这些弹性体对温度,水,THF和甲醇具有出色的多形状记忆性能。此外,多重形状记忆特性可以帮助这些弹性体的自我修复,这是由加热触发的。自修复行为研究表明,这些弹性体中线性聚合物的存在可以显着改善自修复性能。这项工作提供了便捷,高效,
更新日期:2018-03-28
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