Polymerization of Polar Monomers Mediated by Main-Group Lewis Acid–Base Pairs

化学 路易斯酸 沮丧的刘易斯对 聚合 合作性 单体 背景(考古学) 杂原子 组合化学 高分子化学 聚合物 有机化学 催化作用 烷基 古生物学 生物 生物化学
作者
Miao Hong,Jiawei Chen,Eugene Y.‐X. Chen
出处
期刊:Chemical Reviews [American Chemical Society]
卷期号:118 (20): 10551-10616 被引量:321
标识
DOI:10.1021/acs.chemrev.8b00352
摘要

The development of new or more sustainable, active, efficient, controlled, and selective polymerization reactions or processes continues to be crucial for the synthesis of important polymers or materials with specific structures or functions. In this context, the newly emerged polymerization technique enabled by main-group Lewis pairs (LPs), termed as Lewis pair polymerization (LPP), exploits the synergy and cooperativity between the Lewis acid (LA) and Lewis base (LB) sites of LPs, which can be employed as frustrated Lewis pairs (FLPs), interacting LPs (ILPs), or classical Lewis adducts (CLAs), to effect cooperative monomer activation as well as chain initiation, propagation, termination, and transfer events. Through balancing the Lewis acidity, Lewis basicity, and steric effects of LPs, LPP has shown several unique advantages or intriguing opportunities compared to other polymerization techniques and demonstrated its broad polar monomer scope, high activity, control or livingness, and complete chemo- or regioselectivity, as well as its unique application in materials chemistry. These advances made in LPP are comprehensively reviewed, with the scope of monomers focusing on heteroatom-containing polar monomers, while the polymerizations mediated by main-group LAs and LBs separately that are most relevant to the LPP are also highlighted or updated. Examples of applying the principles of the LPP and LP chemistry as a new platform for advancing materials chemistry are highlighted, and currently unmet challenges in the field of the LPP, and thus the suggested corresponding future research directions, are also presented.
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
刚刚
1秒前
秋风的应助被猪哥采纳,获得20
1秒前
隐形曼青的应助被1900采纳,获得10
1秒前
2秒前
kento完成签到,获得积分0
2秒前
点点的应助被yxlsxz采纳,获得10
2秒前
情怀的应助被nature大牛采纳,获得10
2秒前
梓然完成签到,获得积分10
2秒前
小二郎的应助被sisi采纳,获得10
2秒前
等待的大象完成签到 ,获得积分10
2秒前
AISIR完成签到,获得积分10
2秒前
3秒前
JoaquinH发布了新的文献求助10
3秒前
3秒前
初景发布了新的文献求助10
3秒前
Memory发布了新的文献求助10
3秒前
NCU-Xzzzz发布了新的文献求助10
4秒前
RESTARAINT发布了新的文献求助10
4秒前
mimi发布了新的文献求助10
4秒前
kento发布了新的文献求助30
5秒前
斯文败类的应助被吕津阳采纳,获得10
5秒前
6秒前
CodeCraft的应助被Yv采纳,获得10
6秒前
壮观的可以完成签到,获得积分10
6秒前
6秒前
Wang_ZiMo发布了新的文献求助10
6秒前
哈哈完成签到,获得积分10
7秒前
SciGPT的应助被cc采纳,获得10
7秒前
7秒前
7秒前
梧芷发布了新的文献求助10
8秒前
8秒前
8秒前
Fubao完成签到,获得积分20
8秒前
8秒前
谢序泽完成签到,获得积分10
8秒前
隐形曼青的应助被123采纳,获得10
8秒前
8秒前
xxxx完成签到,获得积分10
8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
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Stell & Maran's Head and Neck Surgery and Oncology 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 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8027908
求助须知:如何正确求助?哪些是违规求助? 9468548
关于积分的说明 21232435
捐赠科研通 7598576
什么是DOI,文献DOI怎么找? 3387931
关于科研通互助平台的介绍 2520438
邀请新用户注册赠送积分活动 2424450