Chinese Journal of Magnetic Resonance ›› 2015, Vol. 32 ›› Issue (2): 382-392.doi: 10.11938/cjmr20150220

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A Processing Method for Spectrum Alignment and Peak Extraction for NMR Spectra

LIU Yue1,2a,GAO Yun-ling2a,CHENG Ji2,3,WANG Jie2*,XU Fu-qiang1,2*   

  1. 1. Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074;
    2. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan (Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences), Wuhan 430071;
    3. College of Life Science, Wuhan University, Wuhan 430072
  • Received:2015-03-10 Revised:2015-05-09 Online:2015-06-05 Published:2015-06-05
  • About author:LIU Yue (1990-), female, born in Tonghua, Jilin, PhD. candidate. Her research focuses on MRI, E-mail: yearinglydhr@qq.com. *Corresponding authors: WANG Jie, E-mail: jie.wang@wipm.ac.cn; XU Fu-qiang, Tel: +86-27-87197091, E-mail: fuqiang.xu@wipm.ac.cn. a These authors contributed equally to this work.
  • Supported by:

    The National Natural Science Foundation of China (21105116).

Abstract:

The method for NMR spectra post processing, especially for a set of parallel biological NMR spectra, is crucial in metabolomics studies. Here, an efficient spectra post processing method for peak alignment and peak extraction is proposed, which not only did well in accurate results with high resolution but also had advantages in batch processing and time consumption. The spectrum alignment was completed with the shift of the spectra without changing the profiles of the NMR spectra, and the results were evaluated by the regression coefficient R. The peak extraction step was achieved by repeated searching the maximum value in the NMR spectrum, and was a prerequisite for metabolomics analysis. The extraction of all relevant peaks contained in the complex mixture spectra, rid of any non-significant signal could be easily applied to the statistical analysis. This new approach was applied to a set of 1H NMR spectra of rat plasma and urine to demonstrate the efficiency of the method. The whole theory is compiled in Matlab, and the implementation code is available upon request.

Key words: spectrum processing, spectrum alignment, peak extraction, batch processing, Matlab

CLC Number: