在工业相关条件下用于乳内酯均聚和共聚的高活性锌基催化剂体系

IF 3.9 2区 化学 Q2 POLYMER SCIENCE Polymer Chemistry Pub Date : 2024-10-02 Epub Date: 2024-11-08 DOI:10.1039/d4py01034e
Zisheng Zhang , Yi Zhou , Shuang Liu , Baixue Li , Rui Qu , Yanan Gu , Hongyi Suo , Yusheng Qin
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引用次数: 0

摘要

我们合成了三种具有不同骨架和配位模式的胍基锌配合物(C1-C3),并将其用作催化剂,在工业相关条件下对外消旋内酰胺(rac-LA)进行开环聚合(ROP)测试。在存在过量环氧化物的情况下,即使单体/催化剂比率高达 104,单体也能在 150 oC 甚至 180 oC 的温度下成功聚合,生成分子量在 8.2 kg/mol 至 28.5 kg/mol 之间的线性聚合物。实验、计算和质谱分析的结果证实,特意设计的 C3 具有最强的聚合活性,即使在存在酯交换反应的情况下,也能生产出分子量约为 20.0 kg/mol 的聚乳酸。此外,该催化系统还能促进各种环酯之间的共聚,生成定义明确的无规共聚物。这项研究为生产具有多方面应用潜力的环保型催化系统引入了创新理念。
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A highly active zinc-based catalyst system for lactide homo- and copolymerization under industrially relevant conditions†
Three guanidinium zinc complexes () with distinct backbones and coordination modes were synthesized and utilized as catalysts for ring-opening polymerization (ROP) testing of racemic lactide (rac-LA) under industrially relevant conditions. In the presence of excess epoxide, even with monomer/catalyst ratios as high as 104, the monomers were successfully polymerized at 150 °C or even 180 °C, resulting in linear polymers with molecular weights ranging from 8.2 kg mol−1 to 28.5 kg mol−1. The results of the experimentation, computation, and mass spectrometry analysis confirmed that the purposefully designed has the greatest polymerization activity and is capable of producing PLA with a molecular weight of approximately 20.0 kg mol−1 even in the presence of transesterification. Additionally, the catalytic system also facilitated copolymerization between various cyclic esters, yielding well-defined random copolymers. This research introduces innovative concepts for producing environmentally friendly catalytic systems that exhibit versatile application potential.
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来源期刊
Polymer Chemistry
Polymer Chemistry POLYMER SCIENCE-
CiteScore
8.60
自引率
8.70%
发文量
535
审稿时长
1.7 months
期刊介绍: Polymer Chemistry welcomes submissions in all areas of polymer science that have a strong focus on macromolecular chemistry. Manuscripts may cover a broad range of fields, yet no direct application focus is required.
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