Toward Efficient Entropic Recycling by Mastering Ring–Chain Kinetics

IF 5.2 1区 化学 Q1 POLYMER SCIENCE Macromolecules Pub Date : 2025-02-19 DOI:10.1021/acs.macromol.4c03090
Jeffrey C. Foster, Isaiah T. Dishner, Joshua T. Damron, Vilmos Kertesz, Ilja Popovs, Tomonori Saito
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Abstract

Traditional chemical recycling approaches for condensation polymers suffer compounding energy losses and CO2 emissions across multiple polymerization and depolymerization cycles. Entropic recycling can address these energy losses by entrapping free energy within the deconstruction products. Entropic recycling involves depolymerization to macrocyclic monomers, but such processes have not been feasible due to the high dilutions typically required to generate macrocyclic compounds. Here, we leverage selective catalysis to allow entropic recycling at concentrations 20–2000× higher than typical for macrocyclization reactions. We find that Ru-based olefin metathesis catalysts containing bulky iodine ligands significantly bias the ring–chain kinetic product distribution during ring-closing metathesis (RCM) toward the formation of oligomeric cycloalkenes. Further improvements in reaction concentration and macrocycle yield are obtained by using high catalyst loadings and by predisposing the alkene substrates to undergo favorable macrocyclization. These RCM optimizations translate effectively to cyclodepolymerization (CDP) of an olefin-containing polymer, with RCM and CDP affording similar macrocycle product distributions under identical reaction conditions. Macrocycle polymerization by entropy-driven ring-opening metathesis provides much higher molecular weight polymers than condensation polymerization of linear analogues, reducing the time to achieve high molecular weight from hours to minutes and enabling polymerization at room temperature. Our findings re-emphasize the importance of energy consumption during a polymer’s lifecycle and provide a framework for the design of efficient entropic recycling systems.

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掌握环链动力学迈向有效的熵回收
传统的缩聚聚合物化学回收方法在多个聚合和解聚循环中遭受复合能量损失和二氧化碳排放。熵回收可以通过在解构产物中捕获自由能来解决这些能量损失。熵回收涉及到大环单体的解聚,但由于产生大环化合物通常需要高稀释,因此这种过程并不可行。在这里,我们利用选择性催化使熵循环的浓度比典型的大环化反应高20 - 2000倍。研究发现,含大体积碘配体的ru基烯烃复分解催化剂明显偏向于闭合环复分解(RCM)过程中环链动力学产物的分布,倾向于生成低聚环烯烃。通过使用高催化剂负载和使烯烃底物进行有利的大环化,进一步提高了反应浓度和大环产率。这些RCM优化有效地转化为含烯烃聚合物的环解聚(CDP), RCM和CDP在相同的反应条件下提供相似的大环产物分布。通过熵驱动开环复分解的大环聚合提供了比线性类似物的缩聚聚合高得多的聚合物分子量,将获得高分子量的时间从几小时减少到几分钟,并且可以在室温下进行聚合。我们的研究结果再次强调了聚合物生命周期中能量消耗的重要性,并为高效熵回收系统的设计提供了一个框架。
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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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