Characterization of the Repeat Unit Sequence of Poly(lactide-co-glycolide)

IF 5.2 1区 化学 Q1 POLYMER SCIENCE Macromolecules Pub Date : 2025-04-03 DOI:10.1021/acs.macromol.4c02895
Louise Kuehster, Michael Bingham, Jingyi Dai, Young Kuk Jhon, Yan Wang, Bin Qin, William C. Smith, Xiaoming Xu, Feng Zhang, Nathaniel A. Lynd
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Abstract

Established methods of characterizing repeat unit sequence by measuring changes in comonomer concentration during copolymerization and inferring the resulting copolymer sequence are inapplicable to poly(lactide-co-glycolide) due to reverse and transesterification reactions. In this case, measurement of repeat unit sequences must be based on direct measurement on the copolymer. Here, the assignment of the 13C NMR spectrum of the glycolyl methylene of poly(lactide-co-glycolide) to specific compositional ester tetrads is reported using insights provided by a stochastic model regression analysis of experimental reversible transesterification copolymerization data. The relative integrals of the deconvoluted compositional tetrad signals can be interpreted within the context of a model for repeat unit clustering that describes the cumulative population of homosequences with at least nG adjacent glycolyl esters, including the resonant glycolyl ester. The decay of the relative population of homosequence length nG is described by an exponential decay f(n) = e(1–n)/σb with the parameter σb describing the degree of clustering of glycolyl ester units. An empirical model describes the time-evolution of σb as a function of reaction time, which evolves due to comonomer reversibility and copolymer transesterification.

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聚丙交酯-共乙醇内酯重复单元序列的表征
通过测量共聚过程中共聚单体浓度的变化来表征重复单元序列并推断所得共聚物序列的现有方法由于逆反应和酯交换反应而不适用于聚(丙交酯-共聚物)。在这种情况下,重复单元序列的测量必须基于对共聚物的直接测量。本文利用实验可逆酯交换共聚数据的随机模型回归分析,报告了聚乙二醇酰亚甲基(丙交酯-共乙二醇酯)的13C NMR谱分配到特定的组成酯四聚体。反卷积组成四分体信号的相对积分可以在重复单元聚类模型的背景下解释,该模型描述了具有至少nG相邻乙醇基酯(包括共振乙醇基酯)的同序列的累积种群。同序列长度nG相对居群的衰减用指数衰减f(n) = e(1-n)/σb来描述,参数σb描述醇基酯单元的聚类程度。一个经验模型描述了σb的时间演化是反应时间的函数,其演化是由于共聚物的可逆性和共聚物的酯交换作用。
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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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