1996
DOI: 10.1016/s0166-5162(96)00038-9
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Characterisation of brown coal humic acids and modified humic acids using pyrolysis gcms and other techniques

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Cited by 12 publications
(5 citation statements)
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“…review by Sonnenberg6) and pyrolysis‐MS7 have been widely used as mass spectrometric techniques for this purpose, often in conjunction with spectroscopic techniques, e.g. nuclear magnetic resonance (NMR) and infrared spectroscopy (IR) 8–10…”
mentioning
confidence: 99%
“…review by Sonnenberg6) and pyrolysis‐MS7 have been widely used as mass spectrometric techniques for this purpose, often in conjunction with spectroscopic techniques, e.g. nuclear magnetic resonance (NMR) and infrared spectroscopy (IR) 8–10…”
mentioning
confidence: 99%
“…A similar effect of severity of NaOH treatment has been observed for brown coals; humic acid extracted from a Victorian coal under conditions giving a small yield contained little wax-derived, high-H/C-atomic ratio material compared to the final humin after humic acid extraction, and therefore had a lower H/C ratio than the humin. However, the composition of the humic acid approached that of the humin as the NaOH extraction conditions became more severe [27].…”
Section: Elemental Analysismentioning
confidence: 96%
“…For low-rank coals there is also a similarity in structure (elemental analysis and Py-GC-MS) between the coal, humin and even humic acid when the humic acid yield is sufficiently high [27,41]. This applies even though the humic acid yield under comparable conditions is much higher for low-rank coals than for oil shale.…”
Section: Py-gc-msmentioning
confidence: 99%
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“…Fourier Transform Infrared spectroscopy (FT-IR) provides a broad functional group characterization when applied to WWW particulates, with the advantage of probing their mineral, non volatile or thermally labile components which are not amenable to gas chromatography. FT-IR is well established for the characterization of intractable organic solids such as coals and kerogens [19].…”
Section: Introductionmentioning
confidence: 99%