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首页> 外文期刊>The Journal of Chemical Physics >Improved transfer efficiencies in radio-frequency-driven recoupling solid-state NMR by adiabatic sweep through the dipolar recoupling condition
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Improved transfer efficiencies in radio-frequency-driven recoupling solid-state NMR by adiabatic sweep through the dipolar recoupling condition

机译:通过偶极耦合条件的绝热扫描,提高了射频驱动的耦合固体NMR的传输效率

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The homonuclear radio-frequency driven recoupling (RFDR) experiment is commonly used in solid-state NMR spectroscopy to gain insight into the structure of biological samples due to its ease of implementation, stability towards fluctuations/missetting of radio-frequency (rf) field strength, and in general low rf requirements. A theoretical operator-based Floquet description is presented to appreciate the effect of having a temporal displacement of the p-pulses in the RFDR experiment. From this description, we demonstrate improved transfer efficiency for the RFDR experiment by generating an adiabatic passage through the zero-quantum recoupling condition. We have compared the performances of RFDR and the improved sequence to mediate efficient (CO)-C-13 to C-13(alpha) polarization transfer for uniformly C-13, N-15-labeled glycine and for the fibril forming peptide SNNFGAILSS (one-letter amino acid codes) uniformly C-13, N-15-labeled at the FGAIL residues. Using numerically optimized sweeps, we get experimental gains of approximately 20% for glycine where numerical simulations predict an improvement of 25% relative to the standard implementation. For the fibril forming peptide, using the same sweep parameters as found for glycine, we have gains in the order of 10%-20% depending on the spectral regions of interest. Published by AIP Publishing.
机译:固态NMR光谱法通常使用同核射频驱动再耦合(RFDR)实验来深入了解生物样品的结构,这是由于其易于实施,对射频(rf)场强的波动/错误设置具有稳定性,并且通常对RF的要求较低。提出了基于理论的基于算子的Floquet描述,以了解在RFDR实验中具有p脉冲的时间位移的影响。从该描述中,我们证明了通过零量子耦合条件产生绝热通道,从而提高了RFDR实验的传输效率。我们已经比较了RFDR的性能和改进的序列以介导有效的(CO)-C-13至C-13α极化转移,以均匀地C-13,N-15标记的甘氨酸和原纤维形成肽SNNFGAILSS(一个字母的氨基酸代码)在FGAIL残基处均匀地被C-13,N-15标记。使用数值优化的扫描,我们获得了甘氨酸约20%的实验增益,其中数值模拟预测相对于标准实施方案可提高25%。对于原纤维形成肽,使用与甘氨酸相同的扫描参数,根据感兴趣的光谱区域,我们获得的增益约为10%-20%。由AIP Publishing发布。

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