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Nonuniform Sampling in Multidimensional NMR for Improving Spectral Sensitivity
Methods ( IF 4.8 ) Pub Date : 2018-04-01 , DOI: 10.1016/j.ymeth.2018.03.001
Matthew A. Zambrello , Adam D. Schuyler , Mark W. Maciejewski , Frank Delaglio , Irina Bezsonova , Jeffrey C. Hoch

The development of multidimensional NMR spectroscopy enabled an explosion of structural and dynamical investigations on proteins and other biomacromolecules. Practical limitations on data sampling, based on the Jeener paradigm of parametric sampling of indirect time domains, have long placed limits on resolution in the corresponding frequency dimensions. The emergence of nonuniform sampling (NUS) in indirect time dimensions circumvents those limitations, affording high resolution spectra from short data records collected in practically realized measurement times. In addition to substantially improved resolution, NUS can also be exploited to improve sensitivity, with gains comparable to those obtained using cryogenically cooled probes. We describe a general approach for acquiring and processing multidimensional NUS NMR data for improving sensitivity.

中文翻译:

多维 NMR 中的非均匀采样以提高光谱灵敏度

多维核磁共振波谱的发展使蛋白质和其他生物大分子的结构和动力学研究呈爆炸式增长。基于间接时域参数采样的 Jeener 范式,数据采样的实际限制长期以来限制了相应频率维度的分辨率。间接时间维度中非均匀采样 (NUS) 的出现绕过了这些限制,从在实际实现的测量时间内收集的短数据记录提供高分辨率光谱。除了显着提高分辨率外,NUS 还可用于提高灵敏度,其增益与使用低温冷却探针获得的增益相当。
更新日期:2018-04-01
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