A stochastic model study on the self-assembly process of a Pd2L4 cage consisting of rigid ditopic ligands

文献信息

发布日期 2018-11-28
DOI 10.1039/C8CP06102E
影响因子 3.676
作者

Satoshi Takahashi, Yuya Sasaki, Shuichi Hiraoka


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摘要

The coordination self-assembly process of a Pd2L4 cage including rigid ditopic ligands, L, was studied numerically. A recently developed experimental approach (QASAP: quantitative analysis of self-assembly process) revealed that the rate-determining steps in the self-assembly of the Pd2L4 cage are intramolecular ligand exchanges at the late stages of the self-assembly. In this study, the self-assembly process before the rate-determining steps, which could not be investigated by experiment, was analyzed based on a minimal reaction network model. Only eight variable parameters of rate constants for ligand exchange reactions are sufficient enough to reproduce the time evolution of substrates and the products during the self-assembly of the cage. With these parameters, the major self-assembly pathway was determined. It was also found that a non-negligible amount of an incomplete cage (IC), Pd2L3X2 (X indicates the leaving ligand), which was not suggested by QASAP, should be transiently produced. Numerical tests also suggest that the small rate constant value of the intramolecular ligand exchanges due to a restricted geometry causes the final stage to seemingly become the rate-determining step.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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