Journal
JOURNAL OF MAGNETIC RESONANCE
Volume 218, Issue -, Pages 35-43Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jmr.2012.03.010
Keywords
NMR spectra; Baseline correction; Baseline recognition; Baseline modeling; Iterative method; Quasi-baseline points
Funding
- Ministry of Science and Technology of China [2011YQ120035]
- National Natural Science Foundation of China [10675162]
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A new automatic baseline correction method for Nuclear Magnetic Resonance (NMR) spectra is presented. It is based on an improved baseline recognition method and a new iterative baseline modeling method. The presented baseline recognition method takes advantages of three baseline recognition algorithms in order to recognize all signals in spectra. While in the iterative baseline modeling method, besides the well-recognized baseline points in signal-free regions, the 'quasi-baseline points' in the signal-crowded regions are also identified and then utilized to improve robustness by preventing the negative regions. The experimental results on both simulated data and real metabolomics spectra with over-crowded peaks show the efficiency of this automatic method. (C) 2012 Elsevier Inc. All rights reserved.
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