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通过核磁共振晶体学对一种基于CO的复杂有机框架材料进行结构解析。

Structure elucidation of a complex CO-based organic framework material by NMR crystallography.

作者信息

Leclaire Julien, Poisson Guillaume, Ziarelli Fabio, Pepe Gerard, Fotiadu Frédéric, Paruzzo Federico M, Rossini Aaron J, Dumez Jean-Nicolas, Elena-Herrmann Bénédicte, Emsley Lyndon

机构信息

Univ Lyon , Université Claude Bernard , CNRS, INSA, CPE , ICBMS UMR 5246 , 69622 Villeurbanne , France . Email:

Aix Marseille Université , Centrale Marseille , CNRS , iSm2 UMR 7313 , 13397 Marseille , France.

出版信息

Chem Sci. 2016 Jul 1;7(7):4379-4390. doi: 10.1039/c5sc03810c. Epub 2016 Mar 22.

Abstract

A three-dimensional structural model of a complex CO-based organic framework made from high molecular weight, self-assembled, flexible and multi-functional oligomeric constituents has been determined by solid-state NMR including DNP-enhanced experiments. The complete assignment of the N, C and H resonances was obtained from a series of two-dimensional through space and through bond correlation experiments. MM-QM calculations were used to generate different model structures for the material which were then evaluated by comparing multiple experimental and calculated NMR parameters. Both NMR and powder X-ray diffraction were evaluated as tools to determine the packing by crystal modelling, and at the level of structural modelling used here PXRD was found not to be a useful complement. The structure determined reveals a highly optimised H-bonding network that explains the unusual selectivity of the self-assembly process which generates the material. The NMR crystallography approach used here should be applicable for the structure determination of other complex solid materials.

摘要

通过包括动态核极化增强实验在内的固态核磁共振,已确定了一种由高分子量、自组装、柔性且多功能的低聚成分构成的复杂钴基有机框架的三维结构模型。通过一系列二维空间和键相关实验完成了氮、碳和氢共振的完全归属。使用分子力学-量子力学计算来生成该材料的不同模型结构,然后通过比较多个实验和计算的核磁共振参数对其进行评估。核磁共振和粉末X射线衍射均作为通过晶体建模确定堆积的工具进行了评估,在此处使用的结构建模层面上,发现粉末X射线衍射并非有用的补充手段。所确定的结构揭示了一个高度优化的氢键网络,这解释了生成该材料的自组装过程中不同寻常的选择性。此处使用的核磁共振晶体学方法应适用于其他复杂固体材料的结构测定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ff8/6014084/91a2bdd9fd8e/c5sc03810c-s1.jpg

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