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化学驱动聚合物溶液的旋节线分解

Spinodal decomposition of chemically fueled polymer solutions.

作者信息

Heckel Jonas, Batti Fabio, Mathers Robert T, Walther Andreas

机构信息

Institute for Macromolecular Chemistry, University of Freiburg, Stefan-Meier-Str. 31, 79104 Freiburg, Germany and Freiburg Materials Research Center (FMF), University of Freiburg, Stefan-Meier-Str. 21, 79104 Freiburg, Germany and Freiburg Center for Interactive Materials and Bioinspired Technologies (FIT), University of Freiburg, Georges-Köhler-Allee 105, 79110 Freiburg, Germany.

Institute for Macromolecular Chemistry, University of Freiburg, Stefan-Meier-Str. 31, 79104 Freiburg, Germany.

出版信息

Soft Matter. 2021 Jun 2;17(21):5401-5409. doi: 10.1039/d1sm00515d.

Abstract

Out-of-equilibrium phase transitions driven by dissipation of chemical energy are a common mechanism for morphological organization and temporal programming in biology. Inspired by this, dissipative self-assembly utilizes chemical reaction networks (CRNs) that consume high-energy molecules (chemical fuels) to generate transient structures and functionality. While a wide range of chemical fuels and building blocks are now available for chemically fueled systems, so far little attention has been paid to the phase-separation process itself. Herein, we investigate the chemically fueled spinodal decomposition of poly(norbornene dicarboxylic acid) (PNDAc) solution, which is driven by a cyclic chemical reaction network. Our analysis encompasses both the molecular level in terms of the CRN, but also the phase separation process. We investigate the morphology of formed domains, as well as the kinetics and mechanism of domain growth, and develop a kinetic/thermodynamic hybrid model to not only rationalize the dependence of the system on fuel concentration and pH, but also open pathways towards predictive design of future fueled polymer systems.

摘要

由化学能耗散驱动的非平衡相变是生物学中形态组织和时间编程的常见机制。受此启发,耗散自组装利用化学反应网络(CRNs)消耗高能分子(化学燃料)来产生瞬态结构和功能。虽然现在有各种各样的化学燃料和构建块可用于化学驱动系统,但到目前为止,人们对相分离过程本身关注甚少。在此,我们研究了由循环化学反应网络驱动的聚(降冰片烯二羧酸)(PNDAc)溶液的化学驱动旋节线分解。我们的分析不仅涵盖了化学反应网络分子水平,还包括相分离过程。我们研究了形成的域的形态,以及域生长的动力学和机制,并开发了一个动力学/热力学混合模型,不仅可以解释系统对燃料浓度和pH值的依赖性,还为未来燃料聚合物系统的预测设计开辟了途径。

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