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

机译:预测旋转交叉宿主系统中的顺磁〜1H NMR化学位移和状态能分离

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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:金属有机笼对客体封装的行为可能难以解决方案。 顺磁金属中心引入了用于使用核磁共振(NMR)在解决方案中表征宿主 - 访客复合物的额外信号的额外分散。 然而,顺磁心中心也使由于线宽,信号积分误差和化学位移的轨道变化复杂化,这可能难以为已知化合物分配。 量子化学预测可以提供极大地促进NMR信号的分配和存在的物种鉴定的信息。 在这里,我们探讨了如何使用副磁性NMR光谱的预测来深入了解铁(N)的金属有机协调笼的旋转交叉(SCO)性质,具体研究了局部金属协调环境的结构如何影响SCO。

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    Department of Chemistry Chemical Theory Center and Supercomputer Institute University of Minnesota 207 Pleasant St. SB Minneapolis MN 55455 USA;

    Department of'Chemistry University of'Cambridge Lensfield Road Cambridge CB2 JEW UK.;

    Department of Chemistry Chemical Theory Center and Supercomputer Institute University of Minnesota 207 Pleasant St. SB Minneapolis MN 55455 USA;

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  • 正文语种 eng
  • 中图分类 物理学;化学;
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