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多能弹性体通过分相动态共价网络的温度

Nicholas R Boynton¹, Camaryn M Bennett¹, Trevor D Hagan¹

¹Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.

ACS macro letters

|November 3, 2025

概括

这项研究表明,炼可以重编程弹性体动态共价网络 (DCN). 这种方法可以调整机械性能,如模量和应力,为先进材料提供了多功能方法.

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
材料机械学材料机械学

背景情况:

动态共价网络 (DCN) 提供可调节的特性.
多能弹性体模仿干细胞的适应性.
提亚-迈克尔键使动态的共价化学成为可能.

研究的目的:

研究炼作为一种方法来编程基于 thia-Michael 的 DCN 的机械性能.
通过炼来探索机械性能的可逆性和可调性.
建立一个创造多能弹性体的策略.

主要方法:

使用甲酸和醇功能化的PEG.使用DCN的合成.
通过拉曼光谱学和AFM对提亚-迈克尔形形成和DRIPS形态的表征.
使用单轴拉伸试验和循环加载-卸载实验对机械性能进行评估.

主要成果:

温度升高降低了模和最大应力.
保持了高弹性回收和低能耗.
发现炼过程是完全可逆和可重编程的.

结论:

温度调节提供了一个简单的,可重编程的策略来调整DCN的机械性能.
这种方法允许从单一原料中获取多能弹性体.
这些发现允许设计可适应和可调节的弹性体材料.

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