Degradable shape-memory polymer networks from oligo[(l-lactide)-ran-glycolide]dimethacrylates

聚合物 聚合 材料科学 环氧丙烷 高分子化学 环氧乙烷 无定形固体 玻璃化转变 甲基丙烯酸酯 乙二醇 聚酯纤维 丙交酯 化学工程 共聚物 复合材料 化学 有机化学 工程类
作者
N.‐Y. Choi,Andreas Lendlein
出处
期刊:Soft Matter [Royal Society of Chemistry]
卷期号:3 (7): 901-901 被引量:106
标识
DOI:10.1039/b702515g
摘要

In this paper degradable shape-memory polymer networks synthesized from oligo[(L-lactide)-ran-glycolide]dimethaycrylates are introduced. The macrodimethacrylates are prepared via a two-step synthesis: hydroxy telechelic oligo[(L-lactide)-ran-glycolide]s with number average molecular weights Mn ranging from 1000 to 5700 g mol−1 were synthesized by ring-opening polymerization from L,L-dilactide, diglycolide and ethylene glycol as initiator using dibutyltin oxide as the catalyst. These oligodiols are reacted with methacryloyl chloride resulting in terminal methacrylate groups. Crosslinking of macrodimethacrylates is performed under exposure to UV light without applying a photo initiator. The polymer networks obtained are transparent and hydrolytically degradable. While the mechanical properties at temperatures higher than Tg depend on crosslinking density, Tg is almost constant at about 55 °C. The shape-memory functionality of the amorphous polymer network was investigated by cyclic, thermomechanical tests under the systematic variation of different programming parameters. Good shape-memory properties with strain recovery rates close to 100% were obtained under stress-controlled programming. Under strain-controlled conditions, it needs to be considered that relatively high stresses can be generated during programming. Potential biomedical applications are intelligent implants or smart drug release systems.
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
心在鹿上发布了新的文献求助10
1秒前
2秒前
你的女孩TT完成签到,获得积分10
2秒前
2秒前
李健的粉丝团团长应助xixi采纳,获得10
2秒前
Hayley完成签到,获得积分10
3秒前
丘比特应助英俊的宝川采纳,获得10
3秒前
CYX完成签到,获得积分10
5秒前
5秒前
6秒前
思源应助笑点低沛白采纳,获得10
6秒前
7秒前
共享精神应助满怀采纳,获得10
8秒前
爱听歌元风完成签到,获得积分10
9秒前
凉白开完成签到,获得积分10
9秒前
可爱的函函应助代娇采纳,获得10
9秒前
ccx驳回了CodeCraft应助
9秒前
10秒前
10秒前
Hello应助MiffyJia采纳,获得50
11秒前
Saudade发布了新的文献求助10
12秒前
12秒前
传奇3应助liuliu采纳,获得10
13秒前
李洁发布了新的文献求助10
14秒前
15秒前
Yusheng完成签到,获得积分10
15秒前
好运连连完成签到,获得积分10
15秒前
15秒前
英俊的宝川完成签到,获得积分20
16秒前
16秒前
xixi发布了新的文献求助10
17秒前
17秒前
17秒前
CipherSage应助昵称采纳,获得10
19秒前
吴逸峰发布了新的文献求助10
19秒前
20秒前
qq完成签到 ,获得积分10
20秒前
20秒前
zhou发布了新的文献求助10
20秒前
20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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Great Hymn to Šamaš 500
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7692690
求助须知:如何正确求助?哪些是违规求助? 9253692
关于积分的说明 19985136
捐赠科研通 7265543
什么是DOI,文献DOI怎么找? 3291293
关于科研通互助平台的介绍 2447475
邀请新用户注册赠送积分活动 2296561