Methyl Matters: Molecular Regulation of the Soft-to-Rigid Transition of Shape Memory Hydrogels for Programmable Deformation

自愈水凝胶 聚合物 形状记忆聚合物 甲基丙烯酸 丙烯酸 材料科学 形状记忆合金 化学工程 复合材料 高分子化学 智能材料 化学 纳米技术 共聚物 工程类
作者
Zhiye Yuan,Yijie Jin,Yu Wu,Xinjun Wu,Nan Hai,Jianlei Lu,Chuanzhuang Zhao,Jiawei Zhang
出处
期刊:Macromolecules [American Chemical Society]
被引量:11
标识
DOI:10.1021/acs.macromol.4c00875
摘要

The properties of intelligent polymeric materials are essentially determined by their chemical structures. Shape memory hydrogels that utilize hydrophobic aggregation at elevated temperatures to stabilize temporary shapes, the association of polymer networks is similar to that of thermoresponsive polymers. To realize a precise control on the shape memory function of these materials and broaden their practical applications, it is essential to build up a structure–property relationship on a molecular level. In this study, we fabricated a series of poly(acrylic acid–methacrylic acid)/Ca(CH3COO)2 shape memory hydrogels with cooling-induced shape transformation behavior. The results showed that the incorporation of α-methyl groups would restrict the hydrophobic aggregation of hydrogel networks, and the soft-to-stiff transition temperature of the hydrogels would shift to elevated temperatures with the increasing density of α-methyl groups. Therefore, the shape recovery process could be regulated by adjusting the association degree of the polymer networks. Finally, the hydrogels were explored as smart capsules with sequential drug delivery capacity and as dredging devices capable of removing thrombus. This study reveals the influence of α-methyl groups on the association dynamics of the poly(acrylic acid–methacrylic acid)/Ca(CH3COO)2 hydrogels, which would promote the design of novel shape memory polymers guided by the relationship between chemical structure and properties.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
WJ发布了新的文献求助10
2秒前
日月雨辰完成签到,获得积分10
2秒前
刚硬小阿博应助傲娇若南采纳,获得10
3秒前
深情安青应助无所谓的啦采纳,获得10
4秒前
在水一方应助无所谓的啦采纳,获得10
4秒前
5秒前
mindi应助迅哥采纳,获得10
6秒前
7秒前
ZZ完成签到,获得积分10
7秒前
早日发sci发布了新的文献求助10
8秒前
大胆夜天完成签到,获得积分10
8秒前
搜集达人应助JINGJING采纳,获得10
9秒前
李若鹏发布了新的文献求助10
9秒前
ff完成签到 ,获得积分10
10秒前
marshyyy完成签到,获得积分10
11秒前
莅临发布了新的文献求助10
11秒前
WJ完成签到,获得积分10
12秒前
12秒前
14秒前
斯文败类应助粱忆寒采纳,获得10
16秒前
大事年表完成签到 ,获得积分10
17秒前
miss张发布了新的文献求助10
18秒前
CHENG完成签到,获得积分10
18秒前
18秒前
18秒前
18秒前
蜉蝣发布了新的文献求助10
19秒前
weilucking完成签到,获得积分10
20秒前
mindi应助迅哥采纳,获得10
20秒前
20秒前
23秒前
Hello应助ccc采纳,获得10
23秒前
举个板粟发布了新的文献求助10
23秒前
24秒前
25秒前
xh发布了新的文献求助10
26秒前
xh发布了新的文献求助10
27秒前
AoAoo发布了新的文献求助10
27秒前
xh发布了新的文献求助10
27秒前
NUS完成签到,获得积分10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6346150
求助须知:如何正确求助?哪些是违规求助? 8160843
关于积分的说明 17163640
捐赠科研通 5402221
什么是DOI,文献DOI怎么找? 2861054
邀请新用户注册赠送积分活动 1838949
关于科研通互助平台的介绍 1688197