Literature DB >> 10968964

Improved baseline recognition and modeling of FT NMR spectra

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Abstract

A new approach to baseline correction is presented. A smoothed spectrum is used for both baseline area recognition and modeling. To complete the model an interpolation technique is employed over the signals area; then the model is subtracted from the spectrum giving a flat baseline. The method has been shown to give excellent results even for spectra with large baseline distortions due to different origins. Copyright 2000 Academic Press.

Year:  2000        PMID: 10968964     DOI: 10.1006/jmre.2000.2121

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


  15 in total

1.  Comparison of Several Methods of Chromatographic Baseline Removal with a New Approach Based on Quantile Regression.

Authors:  L Komsta
Journal:  Chromatographia       Date:  2011-02-27       Impact factor: 2.044

2.  Fast quantification of proton magnetic resonance spectroscopic imaging with artificial neural networks.

Authors:  Himanshu Bhat; Balasrinivasa Rao Sajja; Ponnada A Narayana
Journal:  J Magn Reson       Date:  2006-09-01       Impact factor: 2.229

3.  Quantifying in vivo MR spectra with circles.

Authors:  Refaat E Gabr; Ronald Ouwerkerk; Paul A Bottomley
Journal:  J Magn Reson       Date:  2005-12-01       Impact factor: 2.229

4.  Resolving nitrogen-15 and proton chemical shifts for mobile segments of elastin with two-dimensional NMR spectroscopy.

Authors:  Kosuke Ohgo; Walter P Niemczura; Brian C Seacat; Steven G Wise; Anthony S Weiss; Kristin K Kumashiro
Journal:  J Biol Chem       Date:  2012-04-01       Impact factor: 5.157

Review 5.  Recommended strategies for spectral processing and post-processing of 1D 1H-NMR data of biofluids with a particular focus on urine.

Authors:  Abdul-Hamid Emwas; Edoardo Saccenti; Xin Gao; Ryan T McKay; Vitor A P Martins Dos Santos; Raja Roy; David S Wishart
Journal:  Metabolomics       Date:  2018-02-12       Impact factor: 4.290

6.  Hypoxia triggers major metabolic changes in AML cells without altering indomethacin-induced TCA cycle deregulation.

Authors:  Alessia Lodi; Stefano Tiziani; Farhat L Khanim; Mark T Drayson; Ulrich L Günther; Christopher M Bunce; Mark R Viant
Journal:  ACS Chem Biol       Date:  2010-10-18       Impact factor: 5.100

7.  MetaboLab--advanced NMR data processing and analysis for metabolomics.

Authors:  Christian Ludwig; Ulrich L Günther
Journal:  BMC Bioinformatics       Date:  2011-09-13       Impact factor: 3.169

8.  Towards a system level understanding of non-model organisms sampled from the environment: a network biology approach.

Authors:  Tim D Williams; Nil Turan; Amer M Diab; Huifeng Wu; Carolynn Mackenzie; Katie L Bartie; Olga Hrydziuszko; Brett P Lyons; Grant D Stentiford; John M Herbert; Joseph K Abraham; Ioanna Katsiadaki; Michael J Leaver; John B Taggart; Stephen G George; Mark R Viant; Kevin J Chipman; Francesco Falciani
Journal:  PLoS Comput Biol       Date:  2011-08-25       Impact factor: 4.475

9.  A novel R-package graphic user interface for the analysis of metabonomic profiles.

Authors:  Jose L Izquierdo-García; Ignacio Rodríguez; Angelos Kyriazis; Palmira Villa; Pilar Barreiro; Manuel Desco; Jesús Ruiz-Cabello
Journal:  BMC Bioinformatics       Date:  2009-10-29       Impact factor: 3.169

10.  Baseline correction for NMR spectroscopic metabolomics data analysis.

Authors:  Yuanxin Xi; David M Rocke
Journal:  BMC Bioinformatics       Date:  2008-07-29       Impact factor: 3.169

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