Realising the combined potential of solid-state NMR and structural databases

实现固态核磁共振和结构数据库的综合潜力

基本信息

  • 批准号:
    EP/L012243/1
  • 负责人:
  • 金额:
    $ 45.46万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2014
  • 资助国家:
    英国
  • 起止时间:
    2014 至 无数据
  • 项目状态:
    已结题

项目摘要

Databases of crystal structures are essential tools for researchers working in the solid state. Initially established as repositories of experimentally determined structures, the large data sets contained within databases, such as the Cambridge Structural Database (CSD), have become the subject of research in their own right through the development of "data mining". The usefulness of such databases is, however, highly dependent on the quality of the data they contain. In the vast majority of cases the structures were obtained via X-ray diffraction (XRD). While XRD is the pre-eminent tool for establishing the three-dimensional structure of crystalline materials, there are areas where XRD studies struggle and some art is required on the part of the crystallographer to establish a correct structure. For instance, hydrogen atoms scatter X-rays very weakly, and fragments with the same (OH vs F) or very similar (Si vs Al) numbers of electrons are very hard to distinguish. In addition, any disruption of the regular ordering of a crystal creates major challenges for structure solution; diffraction is not the natural tool for understanding such "disorder". Historically XRD experts have used measures such as "R factors" to assess how well a proposed structure fits to the experimental data, but ideally independent experimental evidence would be used to verify crystal structures.We and other research groups have shown in recent years that solid-state nuclear magnetic resonance (SS-NMR) can now be used very effectively to distinguish between different possible crystalline structures. Developments in quantum chemistry (mostly notably through Density Functional Theory) allow NMR spectra to be calculated with excellent precision. Since the NMR spectrum is sensitive to very small changes in the local structure - deviations of the order of a picometre (10^-12 m) will change the spectrum measurably - even small imperfections in a crystal structure solution can be identified. Moreover different types of "disorder" e.g. due to the motion of atoms or irregular atomic positioning, have clear and distinct effects on the NMR spectrum.This proposal seeks to develop systematic approaches to the validation of crystal structures via solid-state NMR and computational chemistry. We will establish which NMR experiments are required in order to distinguish crystal structure solutions and also to "validate" a structural solution. This will involve the creation of "NMR confidence parameters" which will measure the extent to which a structure is compatible with the NMR data available, and the effectiveness of these parameters will be verified against more traditional diffraction-based tools. By taking a systematic approach, we will be able to show how NMR can be used to resolve the different types of structural ambiguity and show the value of NMR as a complement to conventional diffraction-based studies.
晶体结构数据库是固态研究人员的重要工具。最初被建立为实验确定的结构的储存库,包含在数据库中的大型数据集,例如剑桥结构数据库(CSD),通过“数据挖掘”的发展,已经成为研究的主题。然而,这些数据库的用处在很大程度上取决于其所含数据的质量。在绝大多数情况下,结构通过X射线衍射(XRD)获得。虽然XRD是建立晶体材料三维结构的卓越工具,但XRD研究仍存在一些困难,晶体学家需要一些技巧来建立正确的结构。例如,氢原子对X射线的散射非常弱,并且具有相同(OH vs F)或非常相似(Si vs Al)电子数的碎片很难区分。此外,晶体的规则有序的任何破坏都会对结构解决方案产生重大挑战;衍射不是理解这种“无序”的天然工具。过去,XRD专家使用“R因子”等指标来评估所提出的结构与实验数据的吻合程度,但理想情况下,独立的实验证据将用于验证晶体结构。近年来,我们和其他研究小组已经证明,固态核磁共振(SS-NMR)现在可以非常有效地用于区分不同的可能晶体结构。量子化学的发展(主要是通过密度泛函理论)允许NMR光谱以优异的精度计算。由于核磁共振谱对局部结构的微小变化非常敏感--一个皮米(10^-12 m)量级的偏差就会使谱发生可测量的变化--因此即使晶体结构溶液中很小的缺陷也能被识别出来。此外,不同类型的“无序”,例如由于原子的运动或不规则的原子定位,对核磁共振光谱有明显而独特的影响。该提案旨在开发通过固态核磁共振和计算化学验证晶体结构的系统方法。我们将建立哪些NMR实验是必需的,以区分晶体结构的解决方案,也“验证”的结构解决方案。这将涉及创建“NMR置信参数”,该参数将测量结构与可用NMR数据兼容的程度,并且这些参数的有效性将通过更传统的基于衍射的工具进行验证。通过采取系统的方法,我们将能够展示如何使用NMR来解决不同类型的结构模糊性,并展示NMR作为传统衍射研究的补充的价值。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Exploring Systematic Discrepancies in DFT Calculations of Chlorine Nuclear Quadrupole Couplings.
  • DOI:
    10.1021/acs.jpca.7b02810
  • 发表时间:
    2017-05
  • 期刊:
  • 影响因子:
    0
  • 作者:
    O. Socha;P. Hodgkinson;C. Widdifield;J. Yates;M. Dračínský
  • 通讯作者:
    O. Socha;P. Hodgkinson;C. Widdifield;J. Yates;M. Dračínský
Furosemide's one little hydrogen atom: NMR crystallography structure verification of powdered molecular organics.
呋塞米的一个小氢原子:粉末状分子有机物的核磁共振晶体结构验证。
Resolving alternative organic crystal structures using density functional theory and NMR chemical shifts.
  • DOI:
    10.1039/c9sc04964a
  • 发表时间:
    2020-02-24
  • 期刊:
  • 影响因子:
    8.4
  • 作者:
    Widdifield CM;Farrell JD;Cole JC;Howard JAK;Hodgkinson P
  • 通讯作者:
    Hodgkinson P
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Paul Hodgkinson其他文献

Resolving alternative structure determinations of indapamide using sup13/supC solid-state NMR
使用 sup13C 固态核磁共振解决吲达帕胺的替代结构测定
  • DOI:
    10.1039/d1cc06256e
  • 发表时间:
    2022-01-01
  • 期刊:
  • 影响因子:
    4.200
  • 作者:
    Caitlin L. Evans;Ivana Radosavlijević Evans;Paul Hodgkinson
  • 通讯作者:
    Paul Hodgkinson
Crystal size, shape, and conformational changes drive both the disappearance and reappearance of ritonavir polymorphs in the mill
晶体尺寸、形状和构象变化导致利托那韦多晶型物在工厂中消失和重新出现

Paul Hodgkinson的其他文献

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{{ truncateString('Paul Hodgkinson', 18)}}的其他基金

Collaborative Computational Project in NMR Crystallography
核磁共振晶体学合作计算项目
  • 批准号:
    EP/T026642/1
  • 财政年份:
    2020
  • 资助金额:
    $ 45.46万
  • 项目类别:
    Research Grant
New paradigms for NMR of organic solids
有机固体核磁共振的新范例
  • 批准号:
    EP/H023291/1
  • 财政年份:
    2010
  • 资助金额:
    $ 45.46万
  • 项目类别:
    Research Grant
Solid-state NMR Research Service for UK Universities
为英国大学提供的固态核磁共振研究服务
  • 批准号:
    EP/D077532/1
  • 财政年份:
    2006
  • 资助金额:
    $ 45.46万
  • 项目类别:
    Research Grant
Elucidating structure and dynamics in solvates by NMR: applications to pharmaceutical solids
通过 NMR 阐明溶剂化物的结构和动力学:在药物固体中的应用
  • 批准号:
    EP/D057159/1
  • 财政年份:
    2006
  • 资助金额:
    $ 45.46万
  • 项目类别:
    Research Grant

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