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通过非均匀采样提高二维核磁共振最大分辨率的灵敏度

Sensitivity enhancement for maximally resolved two-dimensional NMR by nonuniform sampling.

作者信息

Rovnyak David, Sarcone Mark, Jiang Ze

机构信息

Department of Chemistry, Bucknell University, Lewisburg, PA 17837, USA.

出版信息

Magn Reson Chem. 2011 Aug;49(8):483-91. doi: 10.1002/mrc.2775. Epub 2011 Jul 12.

Abstract

Resolving NMR signals which are separated in frequency on the order of their line widths requires obtaining the time domain free induction decay for a maximum time tmax = πT2 , where T2 is the transverse relaxation time of the given signals. Unfortunately, samples acquired beyond ∼1.26T2 contribute more noise than signal to the data; and samples in the range of about (0.75-1.26)× T2 have a negligible effect on the signal-to-noise ratio (SNR). Therefore, one must sacrifice SNR to reach evolution times of πT2 . One can preserve resolution in a shorter total experimental time by selecting a reduced set of samples from the Nyquist grid according to an exponential probability density which is on the order of the T2 of the signals. This practice is widely termed nonuniform sampling (NUS). We derive analytic theory for the enhancement of the intrinsic SNR of NUS time domain data compared with uniformly sampled data when the total experimental times are equivalent. This theory is general for any tmax and exponential weighting and is further carefully validated with simulations. Enhancements of SNR in the time domain on the order of twofold are routinely available when tmax ∼ πT2 and are reflected in the subsequent maximum entropy reconstructed spectra. SNR enhancement by NUS is demonstrated to be helpful in enabling the acquisition of HMQC spectra of dilute bile salts in which high resolution in the indirect carbon dimension is required.

摘要

解析频率间隔在其线宽量级的核磁共振信号,需要获取最大时间tmax = πT2时的时域自由感应衰减,其中T2是给定信号的横向弛豫时间。不幸的是,采集时间超过约1.26T2的样本对数据的噪声贡献比对信号的贡献更大;而处于约(0.75 - 1.26)×T2范围内的样本对信噪比(SNR)的影响可忽略不计。因此,为了达到πT2的演化时间,必须牺牲信噪比。通过根据与信号T2量级相当的指数概率密度从奈奎斯特网格中选择一组减少的样本,可以在更短的总实验时间内保持分辨率。这种做法被广泛称为非均匀采样(NUS)。我们推导了在总实验时间相等时,与均匀采样数据相比,NUS时域数据固有信噪比增强的解析理论。该理论适用于任何tmax和指数加权,并通过模拟进一步仔细验证。当tmax ∼ πT2时,时域信噪比通常可提高约两倍,并反映在随后的最大熵重建谱中。NUS增强信噪比被证明有助于获取需要在间接碳维度上具有高分辨率的稀胆汁盐的HMQC谱。

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