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NMR Methods for the Unambiguous Identification of meso-Compounds and the Racemate of Their Corresponding Enantiomers

NMR Methods for the Unambiguous Identification of meso-Compounds and the Racemate of Their Corresponding Enantiomers
明确鉴定内消旋化合物及其相应对映体的外消旋体的 NMR 方法
批准号:
270849011
负责人:
Professor Dr. Burkhard Luy
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2015
资助国家:
德国
项目状态:
已结题
起止时间:
2014-12-31 至 2019-12-31

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中文摘要
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英文摘要
NMR spectroscopy is the most important structural characterization method if a molecule of interest cannot be crystallized. A regularly occurring class of molecules with particular difficulties in structure determination is formed by so-called meso compounds, which can hardly be distinguished from the racemate of the corresponding enantiomers in solution. Todays NMR methods allow a distinct identification only in cases when a scalar coupling across the symmetry center can be detected. No applicable experiments exist so far for molecules with overlapping multiplets or with too few NMR-active nuclei. In addtion, existing methods only allow the positive identification of meso-compounds by signal doubling, while the corresponding racemate cannot be distinguished from an accidentally degenerate spectrum. The goal of this project is the development of a set of broadly applicable NMR methods for meso/racemate identification. Central aims are maximum resolution via homonuclear and heteronuclear decoupling as well as the correlation of indirectly coupled spins across the symmetry center via TOCSY-like pulse sequence elements. Also the usage of residual dipolar couplings introduced by partial alingment will be followed, because they allow correlations over large distances and make the positive identification of racemates possible. In compounds with low proton-density fast experiments will be developed for the application of dissolution-DNP and the corresponding boost in senstivity in the detection of low abundance nuclei. Finally maximum distinction of the stereogenic centers is sought by selected residual quadrupolar and dipolar coupling evolution for special cases.
期刊论文(7)
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DOI: 10.1080/02678292.2020.1729424
发表时间: 2020-03-05
期刊: LIQUID CRYSTALS
影响因子: 2.2
作者: [Di Pietro, Maria Enrica, Tzvetkova, Pavleta, Luy, Burkhard]
通讯作者: Luy, Burkhard
Probing long-range anisotropic interactions - A general and sign-sensitive strategy to measure 1H-1H residual dipolar couplings as a key advance for organic structure determination.
探测长程各向异性相互作用 - 测量 1H-1H 残余偶极耦合的通用且符号敏感的策略是有机结构测定的关键进展
DOI: 10.1002/anie.201915278
发表时间: 2020
期刊: Angewandte Chemie
影响因子: --
作者: [D. Sinnaeve, J. Ilgen, M. E. Di Pietro, J. Primozic, V. Schmidts, C. M. Thiele, B. Luy]
通讯作者: B. Luy
Q.E.COSY: determining sign and size of small deuterium residual quadrupolar couplings using an extended E.COSY principle
Q E COSY:使用扩展的 E COSY 原理确定小型氘残留四极耦合的符号和大小
DOI: 10.1002/mrc.4386
发表时间: 2016
期刊: Magnetic Resonance in Chemistry
影响因子: 2
作者: [P. Tzvetkova, B. Luy]
通讯作者: B. Luy
DOI: 10.1039/c9sc01084j
发表时间: 2019-07
期刊: Chemical Science
影响因子: 8.4
作者: [P. Tzvetkova;U. Sternberg;Thomas Gloge;A. Navarro‐Vázquez;B. Luy]
通讯作者: P. Tzvetkova;U. Sternberg;Thomas Gloge;A. Navarro‐Vázquez;B. Luy
Fast and Robust Two-Dimensional Heteronuclear Correlation Experiments for Small Molecules
  • 批准号:
    281446040
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2015
  • 负责人:
    Professor Dr. Burkhard Luy
  • 依托单位:
Enhanced measurement of anisotropic NMR parameters using tunable alignment strength and tensor orientation
  • 批准号:
    71001274
  • 项目类别:
    Research Units
  • 资助金额:
    $0.0万
  • 财政年份:
    2008
  • 负责人:
    Professor Dr. Burkhard Luy
  • 依托单位:
Bioanalytik
  • 批准号:
    103114331
  • 项目类别:
    Heisenberg Professorships
  • 资助金额:
    $0.0万
  • 财政年份:
    2008
  • 负责人:
    Professor Dr. Burkhard Luy
  • 依托单位:
Messung und Strukturelle Interpretation anisotroper Parameter in der hochauflösenden NMR-Spektroskopie
  • 批准号:
    35613221
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2007
  • 负责人:
    Professor Dr. Burkhard Luy
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data