Literature DB >> 9740734

Reference deconvolution, phase correction, and line listing of NMR spectra by the 1D filter diagonalization method.

H Hu1, Q N Van, V A Mandelshtam, A J Shaka.   

Abstract

We describe a new way to attack the problem of identifying and quantifying the number of NMR transitions in a given NMR spectrum. The goal is to reduce the spectrum to a tabular line list of peak positions, widths, amplitudes, and phases, and to have this line list be of high fidelity. In this context "high fidelity" means that each true NMR transition is represented by a single entry, with no spurious entries and no missed peaks. A high fidelity line list allows the measurement of chemical shifts and coupling constants with good accuracy and precision and is the ultimate in data compression. There are two parts to the problem. The first is to overcome common imperfections: the non-Lorentzian lineshapes that can arise whenever the magnetic field inhomogeneity is less than perfect, and nonzero time delays that cause frequency-dependent phase errors. The second is to fit the spectral features to a model of Lorentzian lines. We use the recently developed filter diagonalization method (FDM) to accomplish the reference deconvolution, the phase correction, and the fitting, and show good progress toward the goal of obtaining a high fidelity line list. Copyright 1998 Academic Press.

Mesh:

Year:  1998        PMID: 9740734     DOI: 10.1006/jmre.1998.1516

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  9 in total

1.  Reduced-dimensionality NMR spectroscopy for high-throughput protein resonance assignment.

Authors:  Thomas Szyperski; Deok C Yeh; Dinesh K Sukumaran; Hunter N B Moseley; Gaetano T Montelione
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

2.  GFT NMR experiments for polypeptide backbone and 13Cbeta chemical shift assignment.

Authors:  Seho Kim; Thomas Szyperski
Journal:  J Biomol NMR       Date:  2004-02       Impact factor: 2.835

3.  Use of the filter diagonalization method in the study of space charge related frequency modulation in fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Konstantin Aizikov; Peter B O'Connor
Journal:  J Am Soc Mass Spectrom       Date:  2006-04-17       Impact factor: 3.109

4.  Simultaneous Phase and Scatter Correction for NMR Datasets.

Authors:  Bradley Worley; Robert Powers
Journal:  Chemometr Intell Lab Syst       Date:  2014-02-15       Impact factor: 3.491

5.  Enhanced spectral resolution by high-dimensional NMR using the filter diagonalization method and "hidden" dimensions.

Authors:  Xi Meng; Bao D Nguyen; Clark Ridge; A J Shaka
Journal:  J Magn Reson       Date:  2008-09-30       Impact factor: 2.229

6.  The spontaneous loss of coherence catastrophe in Fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Konstantin Aizikov; Raman Mathur; Peter B O'Connor
Journal:  J Am Soc Mass Spectrom       Date:  2008-10-17       Impact factor: 3.109

7.  Application of Machine Learning Solutions to Optimize Parameter Prediction to Enhance Automatic NMR Metabolite Profiling.

Authors:  Daniel Cañueto; Reza M Salek; Mònica Bulló; Xavier Correig; Nicolau Cañellas
Journal:  Metabolites       Date:  2022-03-24

8.  High-resolution pyrimidine- and ribose-specific 4D HCCH-COSY spectra of RNA using the filter diagonalization method.

Authors:  Justin T Douglas; Michael P Latham; Geoffrey S Armstrong; Brad Bendiak; Arthur Pardi
Journal:  J Biomol NMR       Date:  2008-07-15       Impact factor: 2.835

9.  Strategies for optimizing the phase correction algorithms in Nuclear Magnetic Resonance spectroscopy.

Authors:  Franciszek Binczyk; Rafal Tarnawski; Joanna Polanska
Journal:  Biomed Eng Online       Date:  2015-08-13       Impact factor: 2.819

  9 in total

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