Literature DB >> 27160956

Application of CRAFT in two-dimensional NMR data processing.

Krish Krishnamurthy1, Andrea M Sefler2, David J Russell3.   

Abstract

Two-dimensional (2D) data are typically truncated in both dimensions, but invariably and severely so in the indirect dimension. These truncated FIDs and/or interferograms are extensively zero filled, and Fourier transformation of such zero-filled data is always preceded by a rapidly decaying apodization function. Hence, the frequency line width in the spectrum (at least parallel to the evolution dimension) is almost always dominated by the apodization function. Such apodization-driven line broadening in the indirect (t1 ) dimension leads to the lack of clear resolution of cross peaks in the 2D spectrum. Time-domain analysis (i.e. extraction of frequency, amplitudes, line width, and phase parameters directly from the FID, in this case via Bayesian modeling into a tabular format) of NMR data is another approach for spectral resonance characterization and quantification. The recently published complete reduction to amplitude frequency table (CRAFT) technique converts the raw FID data (i.e. time-domain data) into a table of frequencies, amplitudes, decay rate constants, and phases. CRAFT analyses of time-domain data require minimal or no apodization prior to extraction of the four parameters. We used the CRAFT processing approach for the decimation of the interferograms and compared the results from a variety of 2D spectra against conventional processing with and without linear prediction. The results show that use of the CRAFT technique to decimate the t1 interferograms yields much narrower spectral line width of the resonances, circumventing the loss of resolution due to apodization.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Keywords:  2D linewidth; 2D processing; 2D resolution; Bayesian; CRAFT; apodization; linear prediction; time-domain analysis

Year:  2016        PMID: 27160956     DOI: 10.1002/mrc.4449

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  5 in total

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2.  Searching for Small Molecules with an Atomic Sort.

Authors:  Brendan M Duggan; Reiko Cullum; William Fenical; Luis A Amador; Abimael D Rodríguez; James J La Clair
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Review 3.  Non-Uniform and Absolute Minimal Sampling for High-Throughput Multidimensional NMR Applications.

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4.  Absolute Minimal Sampling of Homonuclear 2D NMR TOCSY Spectra for High-Throughput Applications of Complex Mixtures.

Authors:  Alexandar L Hansen; Dawei Li; Cheng Wang; Rafael Brüschweiler
Journal:  Angew Chem Int Ed Engl       Date:  2017-06-13       Impact factor: 15.336

5.  Fundamental and practical aspects of machine learning for the peak picking of biomolecular NMR spectra.

Authors:  Da-Wei Li; Alexandar L Hansen; Lei Bruschweiler-Li; Chunhua Yuan; Rafael Brüschweiler
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  5 in total

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