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Determination of NMR interaction parameters from double rotation NMR

机译:从双旋转NMR确定NMR相互作用参数

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摘要

It is shown that the anisotropic NMR parameters for half-integer quadrupolar nuclei can be determined using double rotation (DOR) NMR at a single magnetic field with comparable accuracy to multi-field static and MAS experiments. The O-17 nuclei in isotopically enriched L-alanine and OPPh3 are used as illustrations. The anisotropic NMR parameters are obtained from spectral simulation of the DOR spinning sideband intensities using a computer program written with the GAMMA spin-simulation libraries. Contributions due to the quadrupolar interaction, chemical shift anisotropy, dipolar coupling and J coupling are included in the simulations. In L-alanine the oxygen chemical shift span is 455 +/- 20 ppm and 350 +/- 20 ppm for the O1 and O2 sites, respectively, and the Euler angles are determined to an accuracy of +/- 5-10 degrees. For cases where effects due to heteronuclear J and dipolar coupling are observed, it is possible to determine the angle between the internuclear vector and the principal axis of the electric field gradient (EFG). Thus, the orientation of the major components of both the EFG and chemical shift tensors (i.e., V-33 and delta(33)) in the molecular frame may be obtained from the relative intensity of the split DOR peaks. For OPPh3 the principal axis of the O-17 EFG is found to be close to the O-P bond, and the O-17-P-31 one-bond J coupling ((1)J(OP) = 161 +/- 2 Hz) is determined to a much higher accuracy than previously. (C) 2007 Elsevier Inc. All rights reserved.
机译:结果表明,半整数四极核的各向异性NMR参数可以在单个磁场中使用双旋转(DOR)NMR确定,其精度可与多场静态和MAS实验相媲美。以同位素富集的L-丙氨酸和OPPh3中的O-17核为例。各向异性NMR参数是通过使用GAMMA自旋模拟库编写的计算机程序,通过DOR纺丝边带强度的光谱模拟获得的。仿真中包括了由于四极相互作用,化学位移各向异性,偶极耦合和J耦合引起的贡献。在L-丙氨酸中,O1和O2位置的氧化学位移跨度分别为455 +/- 20 ppm和350 +/- 20 ppm,欧拉角的确定精度为+/- 5-10度。对于观察到由异核J和偶极耦合引起的影响的情况,可以确定核间矢量与电场梯度(EFG)主轴之间的角度。因此,可以从分裂的DOR峰的相对强度获得分子框架中EFG和化学位移张量(即V-33和delta(33))的主要成分的取向。对于OPPh3,发现O-17 EFG的主轴线靠近OP键,并且O-17-P-31单键J耦合((1)J(OP)= 161 +/- 2 Hz )的精度要比以前高得多。 (C)2007 Elsevier Inc.保留所有权利。

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