Two-dimensional Pure Isotropic Proton Solid State NMR

被引:6
作者
Moutzouri, Pinelopi [1 ,2 ]
Cordova, Manuel [1 ,2 ]
de Almeida, Bruno Simoes [1 ,2 ]
Torodii, Daria [1 ,2 ]
Emsley, Lyndon [1 ,2 ]
机构
[1] Ecole Polytech Fed Lausanne EPFL, Inst Sci & Ingn Chim, CH-1015 Lausanne, Switzerland
[2] Ecole Polytech Fed Lausanne EPFL, NCCR MARVEL, CH-1015 Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
H-1; Resolution; Isotropic; Machine Learning; Magic Angle Spinning; NMR Spectroscopy; CRYSTAL-STRUCTURE PREDICTION; HIGH-RESOLUTION NMR; 100 KHZ MAS; POWDER CRYSTALLOGRAPHY; C-13; NMR; SPECTROSCOPY; SPECTRA; H-1; SENSITIVITY; COMPLEXES;
D O I
10.1002/anie.202301963
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
One key bottleneck of solid-state NMR spectroscopy is that H-1 NMR spectra of organic solids are often very broad due to the presence of a strong network of dipolar couplings. We have recently suggested a new approach to tackle this problem. More specifically, we parametrically mapped errors leading to residual dipolar broadening into a second dimension and removed them in a correlation experiment. In this way pure isotropic proton (PIP) spectra were obtained that contain only isotropic shifts and provide the highest H-1 NMR resolution available today in rigid solids. Here, using a deep-learning method, we extend the PIP approach to a second dimension, and for samples of L-tyrosine hydrochloride and ampicillin we obtain high resolution H-1-H-1 double-quantum/single-quantum dipolar correlation and spin-diffusion spectra with significantly higher resolution than the corresponding spectra at 100 kHz MAS, allowing the identification of previously overlapped isotropic correlation peaks.
引用
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页数:8
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