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Predicting paramagnetic ~1H NMR chemical shifts and state-energy separations in spin-crossover host-guest systems

机译:预测自旋交叉宿主系统中顺磁性〜1H NMR化学位移和态能分离

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摘要

The behaviour of metal-organic cages upon guest encapsulation can be difficult to elucidate in solution. Paramagnetic metal centres introduce additional dispersion of signals that is useful for characterisation of host-guest complexes in solution using nuclear magnetic resonance (NMR). However, paramagnetic centres also complicate spectral assignment due to line broadening, signal integration error, and targe changes in chemical shifts, which can be difficult to assign even for known compounds. Quantum chemical predictions can provide information that greatly facilitates the assignment of NMR signals and identification of species present. Here we explore how the prediction of paramagnetic NMR spectra may be used to gain insight into the spin crossover (SCO) properties of iron(n)-based metal organic coordination cages, specifically examining how the structure of the local metal coordination environment affects SCO.
机译:来宾溶液中金属有机笼的行为可能难以阐明。顺磁性金属中心引入了额外的信号分散,这对于使用核磁共振(NMR)表征溶液中的​​客体-客体络合物很有用。但是,由于谱线加宽,信号积分误差和化学位移的目标变化,顺磁中心也会使光谱分配复杂化,即使对于已知化合物也很难分配。量子化学预测可以提供极大地促进NMR信号分配和存在物种识别的信息。在这里,我们探索如何利用顺磁NMR光谱的预测来洞察基于铁(n)的金属有机配位笼的自旋交叉(SCO)特性,特别是检查局部金属配位环境的结构如何影响SCO。

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