Quantitative atomic-scale structure characterization of ordered mesoporous carbon materials by solid state NMR

Solid-state (SS)NMR techniques were applied to characterize the atomic-scale structures of ordered mesoporous carbon (OMC) materials prepared using Pluronic F127 as template with resorcinol and formaldehyde as polymerizing precursors. A rigorous quantitative analysis was developed using a combinatio...

Full description

Saved in:
Bibliographic Details
Published in:Carbon (New York) 2018-05, Vol.131 (C), p.102-110
Main Authors: Wang, Zhuoran, Opembe, Naftali, Kobayashi, Takeshi, Nelson, Nicholas C., Slowing, Igor I., Pruski, Marek
Format: Article
Language:English
Subjects:
Aldehydes
Atomic structure
Carbon
Carbon 13
Chemical evolution
Coupling (molecular)
Cross polarization
Functional groups
Heat treatment
INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
MATERIALS SCIENCE
Molecular chains
NMR
Nuclear magnetic resonance
Organic chemistry
Poloxamers
Polymerization
Prepolymers
Quantitative analysis
Solid state
Structural analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Solid-state (SS)NMR techniques were applied to characterize the atomic-scale structures of ordered mesoporous carbon (OMC) materials prepared using Pluronic F127 as template with resorcinol and formaldehyde as polymerizing precursors. A rigorous quantitative analysis was developed using a combination of 13C SSNMR spectra acquired with direct polarization and cross polarization on natural abundant and selectively 13C-enriched series of samples pyrolyzed at various temperatures. These experiments identified and counted the key functional groups present in the OMCs at various stages of preparation and thermal treatment. The chemical evolution of molecular networks, the average sizes of aromatic clusters and the extended molecular structures of OMCs were then inferred by coupling this information with the elemental analysis results. [Display omitted]
ISSN:0008-6223
1873-3891
DOI:10.1016/j.carbon.2018.01.087