Raman-Validated Macromolecular Model of SG Coking Coal: ESP–FMO Mapping Unravels Site-Selective Oxidation in Combustion Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/app152312540
Based on comprehensive experimental datasets—proximate/ultimate analyses, XPS, solid-state 13C NMR, and Raman spectroscopy—we constructed and optimized a compositionally faithful macromolecular model of SG coking coal. Using density-functional theory (DFT) calculations, we simulated electrostatic-potential (ESP) fields and frontier molecular orbitals (FMO) to probe elementary oxidation steps relevant to combustion, and focused on how heteroatom speciation and carbon ordering govern site-selective reactivity. Employing multi-peak deconvolution and parameter synthesis, we obtained an aromatic fraction fa = 76.56%, a bridgehead-to-periphery ratio XBP = 0.215, and Raman indices ID1/IG ≈ 1.45 (area) with FWHM(G) ≈ 86.7 cm−1; the model composition C190H144N2O21S and its predicted 13C NMR envelope validated the structural assignment against experiment. ESP–FMO synergy revealed electron-rich hotspots at phenolic/ether/carboxyl and thiophenic domains and electron-poor belts at H-terminated edges/aliphatic bridges, rationalizing carbon-end oxidation of CO, weak electrostatic steering by O2/CO2, and a benzylic H-abstraction → edge addition → O-insertion/charge-transfer sequence toward CO2/H2O, with thiophenic sulfur comparatively robust. We quantified surface functionalities (C–O 65.46%, O–C=O 24.51%, C=O 10.03%; pyrrolic/pyridinic N dominant; thiophenic-S with minor oxidized S) and determined a naphthalene-dominant, stacked-polyaromatic architecture with sparse alkyl side chains after Materials Studio optimization. The findings are significant for mechanistic understanding and control of coking-coal oxidation, providing actionable hotspots and a reproducible workflow (multi-probe constraints → model building/optimization → DFT reactivity mapping → spectral back-validation) for blend design and targeted oxidation-inhibition strategies.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app152312540
- https://www.mdpi.com/2076-3417/15/23/12540/pdf?version=1764160554
- OA Status
- gold
- References
- 36
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7106695472Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app152312540Digital Object Identifier
- Title
-
Raman-Validated Macromolecular Model of SG Coking Coal: ESP–FMO Mapping Unravels Site-Selective Oxidation in CombustionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-26Full publication date if available
- Authors
-
Xiaoxu Gao, Lu Du, Jinzhang Jia, Hao Tian, Xiaoqi Huang, Xiaoxu Gao, Lu Du, Jinzhang Jia, Hao Tian, Xiaoqi HuangList of authors in order
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https://doi.org/10.3390/app152312540Publisher landing page
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https://www.mdpi.com/2076-3417/15/23/12540/pdf?version=1764160554Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-3417/15/23/12540/pdf?version=1764160554Direct OA link when available
- Concepts
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Raman spectroscopy, Macromolecule, Heteroatom, Chemistry, Reactivity (psychology), Density functional theory, Carbon fibers, Alkyl, Materials science, Chemical engineering, Computational chemistry, Fraction (chemistry), Sulfur, Chemical physics, Characterization (materials science), Carbon-13 NMR, Combustion, Cluster (spacecraft), NanotechnologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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36Number of works referenced by this work
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