Chen Ganyu, Shi Peichen, Zeng Longhui, Feng Liubin, Wang Xiuxiu, Lin Xujing, Sun Yibin, Fang Hongxun, Cao Xiaoyu, Wang Xinchang, Yang Liulin, Tian Zhongqun
State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory of Chemical Biology of Fujian Province, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 P. R. China
School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University Xiamen 361005 P. R. China.
Chem Sci. 2022 Jun 17;13(26):7796-7804. doi: 10.1039/d2sc01930b. eCollection 2022 Jul 6.
Kinetic control over structures and functions of complex assembly systems has aroused widespread interest. Understanding the complex pathway and transient intermediates is helpful to decipher how multiple components evolve into complex assemblies. However, for supramolecular polymerizations, thorough and quantitative kinetic analysis is often overlooked. Challenges remain in collecting the information of structure and content of transient intermediates with high temporal and spatial resolution. Here, the unsolved evolution mechanism of a classical self-sorting supramolecular copolymerization system was addressed by employing multidimensional NMR techniques coupled with a microfluidic technique. Unexpected complex pathways were revealed and quantitatively analyzed. A counterintuitive pathway involving polymerization through the 'error-correction' of non-polymerizable transient intermediates was identified. Moreover, a 'non-classical' step-growth polymerization process controlled by the self-sorting mechanism was unraveled based on the kinetic study. Realizing the existence of transient intermediates during self-sorting can encourage the exploitation of this strategy to construct kinetic steady state assembly systems. Moreover, the strategy of coupling a microfluidic technique with various characterization techniques can provide a kinetic analysis toolkit for versatile assembly systems. The combined approach of coupling thermodynamic and kinetic analyses is indispensable for understanding the assembly mechanisms, the rules of emergence, and the engineering of complex assembly systems.
对复杂组装系统的结构和功能进行动力学控制已引起广泛关注。了解复杂的途径和瞬态中间体有助于破译多个组件如何演变成复杂的组装体。然而,对于超分子聚合,全面和定量的动力学分析常常被忽视。在以高时空分辨率收集瞬态中间体的结构和含量信息方面仍然存在挑战。在此,通过采用多维核磁共振技术与微流控技术相结合,解决了经典自分类超分子共聚体系尚未解决的演化机制问题。揭示并定量分析了意想不到的复杂途径。确定了一条通过不可聚合瞬态中间体的“纠错”进行聚合的违反直觉的途径。此外,基于动力学研究揭示了一种由自分类机制控制的“非经典”逐步聚合过程。认识到自分类过程中瞬态中间体的存在可以促进利用这种策略构建动力学稳态组装系统。此外,将微流控技术与各种表征技术相结合的策略可以为通用组装系统提供一个动力学分析工具包。将热力学和动力学分析相结合的方法对于理解组装机制、出现规则和复杂组装系统的工程设计是必不可少的。