• Spectroscopy and Spectral Analysis
  • Vol. 34, Issue 1, 47 (2014)
JIA Jian-bo1, WANG Ying1, LI Feng-hai1, YI Gui-yun1, ZENG Fan-gui2, and GUO Hong-yu1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2014)01-0047-05 Cite this Article
    JIA Jian-bo, WANG Ying, LI Feng-hai, YI Gui-yun, ZENG Fan-gui, GUO Hong-yu. IR Spectrum Simulation of Molecular Structure Model of Shendong Coal Vitrinite by Using Quantum Chemistry Method[J]. Spectroscopy and Spectral Analysis, 2014, 34(1): 47 Copy Citation Text show less

    Abstract

    The structure of coal needs to be understood from a molecular point of view for clean, effective and high value-added utilization of coal. In the literature<参考文献原文>, molecular structure model of Shendong coal vitrinite (SV) was established by the authors on the basis of experimental results of ultimate analysis and13 C NMR , and the calculated13 C NMR spectrum of SV model was consistent with the experimental spectrum. In order to further verify the accuracy of SV structure model established by the authors, the infrared spectrum of SV structure model was calculated using quantum chemistry semi-empirical VAMP in this thesis. The results showed that the peak shape of calculated IR spectrum of SV structure model was similar to the experiment's, but the wave number of calculated IR spectrum was obviously higher than that of experimental spectrum. According to the calculated results for model compounds by using the same method, calculated vibrational frequency was higher than that of experiment for the same functional groups. Hence, the calculated IR spectrum should be corrected. After correction the calculated IR spectrum of SV structure model matched well with the experimental spectrum. In other words, the SV structure model can truly reflect the structure characteristics of SV.
    JIA Jian-bo, WANG Ying, LI Feng-hai, YI Gui-yun, ZENG Fan-gui, GUO Hong-yu. IR Spectrum Simulation of Molecular Structure Model of Shendong Coal Vitrinite by Using Quantum Chemistry Method[J]. Spectroscopy and Spectral Analysis, 2014, 34(1): 47
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