A rapid coal characterisation analysis by low-resolution NMR spectroscopy and partial least-squares regression
1H-NMR spectroscopy is a potentially useful technique for the characterisation of coal. A novel technique was applied to distinguish, characterise and determine quantitatively five different classes of proton containing components from air-dried Australian bituminous coals. The five different classe...
| Hauptverfasser: | , , , |
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| Format: | Journal article |
| Sprache: | English |
| Veröffentlicht: |
2001
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| Zusammenfassung: | 1H-NMR spectroscopy is a potentially useful technique for the characterisation of coal. A novel technique was applied to distinguish, characterise and determine quantitatively five different classes of proton containing components from air-dried Australian bituminous coals. The five different classes of protons are described by 14 fitted NMR parameters, which are the signal amplitudes, spin-lattice relaxation times and spin-spin relaxation times. To establish the mathematical relationship between the 14 fitted NMR parameters and the properties of a large set of bituminous Australia coals, a partial least-squares (PLS) regression algorithm was used. Predictions were accurate for many coal properties, particularly those related to the organic matter of the coal. The method is therefore, a rapid (25 min) method for coal quality monitoring with potential for commercial application. © 2001 Elsevier Science Ltd. |
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