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电喷雾电离质谱监测自组装:多线程假轮烷自组装过程中的形成中间体和纠错。

Monitoring self-sorting by electrospray ionization mass spectrometry: formation intermediates and error-correction during the self-assembly of multiply threaded pseudorotaxanes.

机构信息

Institut für Chemie und Biochemie, Freie Universität Berlin, Takustrasse 3, 14195 Berlin, Germany.

出版信息

J Am Chem Soc. 2010 Feb 24;132(7):2309-20. doi: 10.1021/ja9101369.

Abstract

Three binary pseudorotaxanes, which are based on two different secondary ammonium/crown ether binding motifs, have been studied by (1)H NMR and (1)H,(1)H EXSY NMR experiments with respect to their thermodynamic stabilities and their axle exchange kinetics. The stability ranking does not follow the order of axle exchange rates, and the thermodynamically most stable axle-wheel combinations assemble only slowly. On the basis of these binding motifs, a series of self-sorting systems have been studied ranging from simple four-component mixtures through sequence-specific pseudorotaxanes to multiply threaded complexes. Because of the mismatch of kinetic and thermodynamic order, wrongly assembled structures are unavoidable, which require error-correction steps to yield the final thermodynamically controlled self-sorted products. These error-correction steps can easily be monitored by electrospray mass spectrometry, when a mixed-flow microreactor is coupled to the ion source to cover second time scales. Self-assembly intermediates, wrongly assembled structures, and the final thermodynamic products can be simultaneously identified. The determination of preferred assembly pathways as well as the formation of dead-end structures provides a clear picture of a rich kinetic behavior of the self-sorting systems under study.

摘要

三种基于两种不同的季铵/冠醚结合模式的双二进制假轮烷已通过(1)H NMR 和(1)H,(1)H EXSY NMR 实验进行了研究,以研究其热力学稳定性和轴交换动力学。稳定性排序不遵循轴交换率的顺序,热力学上最稳定的轴轮组合组装速度很慢。基于这些结合模式,已经研究了一系列自分类系统,范围从简单的四组分混合物到序列特异性假轮烷再到多线程复合物。由于动力学和热力学顺序不匹配,不可避免地会出现错误组装的结构,需要纠错步骤才能得到最终热力学控制的自分类产物。当将混合流微反应器耦合到离子源以覆盖第二时间尺度时,电喷雾质谱可以轻松监测这些纠错步骤。可以同时鉴定自组装中间体、错误组装的结构和最终热力学产物。确定优先组装途径以及形成死端结构为所研究的自分类系统丰富的动力学行为提供了清晰的画面。

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