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Characterization of Mineral Matter in Coal Ashes with Infrared and Raman Spectroscopy |
YIN Yan-shan, YIN Jie, ZHANG Wei, TIAN Hong, HU Zhang-mao, FENG Lei-hua, CHEN Dong-lin |
Hunan Province 2011 Collaborative Innovation Center of Clean Energy and Smart Grid, School of Energy and Power Engineering, Changsha University of Science & Technology, Changsha 410114, China |
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Abstract The analysis of mineral matter in coal ash is based on the analysis and characterization of mineral composition. Mineral matter in two high-silicon and high-aluminum coal ashes were well characterized and identified with Fourier Transform Infrared Spectroscopy (FTIR), Raman spectroscopy, and X-ray diffraction (XRD). The results from combined use of FTIR and Raman spectroscopy were then compared with those of XRD. Results of FTIR show the presence of the strongest band in the range of 1 100~1 000 cm-1, such as the bands for quartz (1 089 cm-1) and metakaolinite (1 042 cm-1), which are both assigned to Si—O stretching vibration. In contrast to original infrared spectra, the second derivative infrared spectra show the positions of overlapping adsorption bands, which are masked in the original infrared spectra. The analysis of the overlapping adsorption bands are useful for the determination of mineral composition and thus provides more detailed information on mineral matter. For the anhydrite in coal ashes, the three Raman bands (1 157, 1 126, and 674 cm-1) are obviously similar to the three corresponding FTIR bands (1 151, 1 120, and 678 cm-1), for they show the identical vibration mode and close peak position. Moreover, the anhydrite in coal ashes shows other different bands in its FTIR and Raman spectra. Therefore, FTIR and Raman spectroscopy techniques are complementary for the identification of mineral phases in coal ashes. Although the anatase content of both coal ashes is very low, the Raman band of anatase (144 cm-1) is far more intense than the band of quartz (461 cm-1) because of the significantly high polarizability of Ti—O. The results of XRD show that the mineral components in both ashes are primarily quartz, muscovite, hematite, anhydrite, and unknown amorphous mineral phase. In addition to these minerals, combined use of FTIR and Raman spectroscopy indicates the presence of metakaolinite, amorphous silica, feldspar, calcite, anatase, etc. The combination of FTIR and Raman spectroscopy can therefore provide more detailed mineral composition than XRD for qualitative analysis of mineral matter in coal ashes.
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Received: 2017-04-07
Accepted: 2017-08-30
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[1] LI Na, LIU Quan-sheng, ZHEN Ming, et al(李 娜, 刘全生, 甄 明, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2016, 36(9): 2760.
[2] WEN Hai-tao, KONG Ling-xue, BAI Jin, et al(温海涛, 孔令学, 白 进, 等). Journal of Fuel Chemistry and Technology(燃料化学学报), 2015, 43(3): 257.
[3] Mozgawa W, Król M, Dyczek J, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2014, 132: 889.
[4] YIN Yan-shan, ZHANG Yi, CHEN Hou-tao, et al(尹艳山, 张 轶, 陈厚涛, 等). Journal of Fuel Chemistry and Technology(燃料化学学报), 2015, 43(10): 1167.
[5] Medeghini L, Mignardi S, De Vito C, et al. Microchemical Journal, 2016, 125: 224.
[6] Frezzotti M L, Tecce F, Casagli A. Journal of Geochemical Exploration, 2012, 112: 1.
[7] Medeghini L, Lottici P P, De Vito C, et al. Journal of Raman Spectroscopy, 2014, 45: 1244.
[8] Shoval S, Nathan Y. Journal of Thermal Analysis and Calorimetry, 2011, 105(3): 883.
[9] Yan W, Liu D, Tan D, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2012, 97: 1052.
[10] Ciobot V, Salama W, Jentzsch P V, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2014, 118: 42. |
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