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PUBLICATIONS

Nonuniform Sampling in Multidimensional NMR for Improving Spectral Sensitivity

Published

Author(s)

Matthew Zambrello, Adam D. Schuyler, Mark W. Maciejewski, Frank Delaglio, Irina Bezsonova, Jeffrey C. Hoch

Abstract

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.
Citation
Methods
Volume
138-139
Pub Type
Journals

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DOI Link

Keywords

NMR, Non-Uniform Sampling, Spectral Processing
Computational science

Citation

Zambrello, M. , Schuyler, A. , Maciejewski, M. , Delaglio, F. , Bezsonova, I. and Hoch, J. (2018), Nonuniform Sampling in Multidimensional NMR for Improving Spectral Sensitivity, Methods, [online], https://doi.org/10.1016/j.ymeth.2018.03.001 (Accessed May 8, 2024)

Created March 31, 2018, Updated October 12, 2021