多分散聚(l-乳酸)球形薄膜中的成核点记忆

IF 5.1 1区 化学 Q1 POLYMER SCIENCE Macromolecules Pub Date : 2024-10-31 DOI:10.1021/acs.macromol.4c01669
Songyan Lu, Min Chen, Hanying Li
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引用次数: 0

摘要

分子量分布(MWD)是聚合物的一个独特特征,它使聚合物材料的各种特性具有广泛的可调范围。不同分子量的聚合物共存于同一多分散体系中,其不同的链动力学和结晶行为会导致独特的结晶现象和聚集结构。最近,有报道称聚(l-乳酸)(PLLA)具有一种由 MWD 诱导的多晶质结构,即嵌套聚乳酸(PLLA)球粒,其中一种晶体形式嵌入另一种晶体形式之中。此处报告了聚乳酸薄膜的一种有趣的成核点记忆现象,即即使经过多次熔融-结晶循环,球晶的成核点也会恢复到初始位置附近。成核点记忆与溶液加工和嵌套球晶密切相关。在排除异质成核的影响后,证明了成核点记忆源于 MWD。这项工作提供的见解加深了人们对聚合物加工过程中 MWD 对结构演变影响的基本认识。
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Nucleation Site Memory in the Spherulite Films of Polydisperse Poly(l-lactic acid)
Molecular weight distribution (MWD) is a unique feature of polymers, which endows various properties of polymer materials with broadly regulatable scopes. The various chain dynamics and crystallization behaviors of different molecular-weight polymers coexisting within the same polydisperse system would lead to unique crystallization phenomena and aggregating structures. Recently, an MWD-induced polymorphism texture of poly(l-lactic acid) (PLLA) is reported, called nested PLLA spherulites, where one crystal form is embedded inside the other. Here, an interesting nucleation site memory phenomenon is reported for the PLLA thin films, where the nucleation sites of spherulites recover around the initial positions, even after multiple melting–crystallizing cycles. The nucleation site memory strongly associates with solution processing and the nested spherulites. After the impact of heterogeneous nucleation is excluded, it is demonstrated that the nucleation site memory originates from MWD. The insights provided in this work deepen the fundamental understanding of the influence of MWD on the structure evolution during polymer processing.
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来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
期刊介绍: Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.
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