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Two‐dimensional HSQC NMR spectra obtained using a self‐compensating double pulsed field gradient and processed using the filter diagonalization method
Author(s) -
Mandelshtam Vladimir A.,
Hu Haitao,
Shaka A. J.
Publication year - 1998
Publication title -
magnetic resonance in chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.483
H-Index - 72
eISSN - 1097-458X
pISSN - 0749-1581
DOI - 10.1002/(sici)1097-458x(199806)36:13<s17::aid-omr287>3.0.co;2-2
Subject(s) - heteronuclear single quantum coherence spectroscopy , chemistry , spectral line , fourier transform , filter (signal processing) , field (mathematics) , algorithm , computational physics , analytical chemistry (journal) , biological system , two dimensional nuclear magnetic resonance spectroscopy , physics , quantum mechanics , computer science , chromatography , stereochemistry , mathematics , pure mathematics , computer vision , biology
New data acquisition and data processing strategies are combined to give enhanced 2D HSQC spectra. Complete carbon‐13 assignments can be obtained using only two proton spectra in some cases. A composite pulsed field gradient is employed which appears effectively instantaneous, as far as spin evolution is concerned, and which offers superb recovery and does not perturb the field/frequency lock. The spectra are analyzed by a new linear algebraic method called the filter diagonalization method (FDM). FDM can be used to extract 2D spectral parameters directly from 2D time signals without any Fourier transformation and can speed up the spectral throughput. © 1998 John Wiley & Sons, Ltd.