Chinese Journal of Magnetic Resonance ›› 2011, Vol. 28 ›› Issue (2): 244-250.

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Fuzzy Recognition of NMR Spectra Based on the Maximum Principle of Membership

 WANG Chong-Jie1*,ZHOU Xiao-Bo1, SUN Li-Yuan2, SUN Bo1, FU Ying1, ZHANG Zhan-Nan1, XU Yong-Ting3, FENG Chun-Liang4   

  1. 1. College of Physics and Electric Technology, Liaoning Normal University, Dalian 116029, China;
    2. College of Science, Aeronautical Engineering University of Shenyang, Shenyang 110136, China;
    3. Center of Analysis and Test, Liaoning Normal University, Dalian 116029, China;
    4. College of Chemistry and Chemical Industry, Liaoning Normal University, Dalian 116029, China
  • Received:2010-07-27 Revised:2010-11-18 Online:2011-06-05 Published:2011-06-05
  • Supported by:

    国家自然科学基金资助项目(60572009), 辽宁省科技基金资助项目(99102004).

Abstract:

The principle and method of fuzzy recognition of NMR spectra based on maximum principle of membership were reviewed. The concept of fuzzy set for NMR spectra was first introduced, and then the membership function was given. By establishing library of standard compounds and algorithm of fuzzy recognition, a quick automatic qualitative analysis was achieved. 1H NMR spectra of 11 mixed samples composed of 4 compounds were analyzed. The results show that the compounds in the samples can be recognized accurately even when the peak positions were only calculated roughly, and the threshold of average membership took value from 0.45~0.85.

Key words: NMR, fuzzy recognition, maximum principle of membership, spectra peaks, chemical shift

CLC Number: