Determining the molecular weight distribution of Pocahontas No. 3 low-volatile bituminous coal utilizing HRTEM and laser desorption ionization mass spectra data

Jonathan P. Mathews, Victor Fernandez-Also, A. Daniel Jones, Harold H. Schobert

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Knowledge of the molecular weight distribution is important for rationalizing coal behavior. While many analytical approaches generate average data, inclusion of coal's inherent structural diversity would improve molecular representations of coal and their usefulness. The molecular weight distribution of Pocahontas No. 3 coal was estimated based on a new approach coupling HRTEM lattice fringe image data and laser desorption ionization mass spectra (LDIMS), constrained by elemental and NMR data. Assuming a shape for the large aromatic coal molecules allows the determination of the aromatic raft size distribution, and prediction of the molecular weight distribution from the HRTEM lattice fringe image analyses. Similar-shaped molecular weight profiles were obtained from these different techniques. Both distributions showed a sharp rise, fall and long tail, with the HRTEM profile being shifted to a lower mass in comparison to the LDIMS data. The mean molecular weight of an aromatic raft, 289 Da, was similar to 299 Da a value reported from NMR data. Cross-linking the fringes generated a diverse network structure of aromatic clusters with a reasonable aromatic H/C ratio and a molecular weight distribution within the appropriate ranges from laser desorption data. A rationale for molecular diversity determination, necessary for large-scale molecular modeling, for a high-rank coal is proposed.

Original languageEnglish (US)
Pages (from-to)1461-1469
Number of pages9
JournalFuel
Volume89
Issue number7
DOIs
StatePublished - Jul 1 2010

Fingerprint

Coal
Bituminous coal
Molecular weight distribution
Ionization
Desorption
Lasers
Molecular weight
Nuclear magnetic resonance
Molecular modeling
Molecules

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Organic Chemistry

Cite this

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Determining the molecular weight distribution of Pocahontas No. 3 low-volatile bituminous coal utilizing HRTEM and laser desorption ionization mass spectra data. / Mathews, Jonathan P.; Fernandez-Also, Victor; Daniel Jones, A.; Schobert, Harold H.

In: Fuel, Vol. 89, No. 7, 01.07.2010, p. 1461-1469.

Research output: Contribution to journalArticle

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