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形状记忆辅助自我愈合和实时检测多功能电纤维中的酸性环境

Huan-Ru Chen¹, Yi-Fan Chen¹, Tse-Yu Lo¹

¹Department of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.

ACS applied materials & interfaces

|January 30, 2026

概括

新的智能纤维结合了形状记忆自我愈合与酸触发的颜色变化适应性织品. 这些先进材料为下一代可穿戴电子产品和防护服提供损坏修复和环境监测.

科学领域:

材料科学材料科学材料科学
聚合物化学聚合物化学
织工程织工程织工程

背景情况:

具有自我修复和环境响应性的智能纤维系统对于可穿戴电子产品和防护服等先进应用至关重要.
将多个功能集成到单一的纤维中,这给材料设计带来了重大挑战.

研究的目的:

开发一个多功能电纤维平台,集成形状记忆辅助的自我愈合和酸触发的色化.
调查聚合物组成对纤维形态,自我愈合效率和色素响应性的影响.

主要方法:

从热塑性聚氨 (TPU) /聚乙烯 (PCL) 混合物中制造电纤维,这些混合物被添加了对酸敏感的染料ODB-2.
利用TPU和PCL的独特热过渡来实现可编程的变形,恢复和热激活的界面扩散以实现自我愈合.
化学结构,形态和功能性能的表征,包括染色可逆性和自我愈合效率.

主要成果:

富含TPU的混合物表现出统一的纤维形态,在多个酸循环中稳定的染色可逆性,以及高的自我愈合效率 (高达95%).
富含PCL的组合物导致纤维直径更大,染色反应减少,以及不完全的机械恢复.
发现聚合物成分在很大程度上决定了智能纤维的结构特征和功能结果.

结论:

开发的光纤平台成功地整合了智能聚合物纤维的形状记忆,自我修复和色素响应能力.
这项工作为能够修复损坏和实时环境监测的智能纤维提供了一种多功能设计策略.
这种方法有可能为下一代可穿戴电子产品,智能织品和适应性膜用于动态环境提供潜力.

关键词:

酸色材料是一种酸色材料.电力旋转是指电力旋转.自愈纤维是一种自愈纤维.形状记忆的聚合物.智能织品智能织品是什么

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