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Updated: Jan 28, 2026

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Fabrication and Visualization of Capillary Bridges in Slit Pore Geometry
Published on: January 9, 2014
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Investigating pore geometry in heterogeneous porous samples using spatially resolved G0-Δχapp and G0-Δν correlations
Henrik Nicolay Sørgård1, John Georg Seland1
1University of Bergen, Department of Chemistry, Realfagsbygget, Allgaten 41, N-5007 Bergen, Norway.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|March 9, 2019
Summary
This study introduces a new 2D NMR method to map pore size distributions and sample heterogeneity. The technique accurately measures magnetic susceptibility gradients and spectral frequencies in porous materials.
Area of Science:
- Nuclear Magnetic Resonance (NMR) Spectroscopy
- Materials Science
- Geophysics
Background:
- Magnetic susceptibility variations within porous media create internal magnetic field gradients.
- Characterizing pore size distribution and heterogeneity is crucial for understanding fluid transport and material properties.
Purpose of the Study:
- To develop and validate a spatially resolved 2D NMR pulse sequence.
- To correlate internal magnetic susceptibility gradients (G0) with apparent magnetic susceptibility differences (Δχapp) and spectral frequencies (Δν).
- To generate spatially resolved pore size distributions and assess sample heterogeneity.
Main Methods:
- A novel two-dimensional (2D) NMR pulse sequence was designed.
- The sequence measures correlations between G0 and Δχapp for pore size distribution.
- G0 and Δν correlations were used to evaluate sample heterogeneity.
- Measurements were performed on a heterogeneous porous sample with distinct glass sphere layers.
Main Results:
- Spatially resolved pore size distributions showed good agreement with previous non-slice selective methods.
- The 5-50 μm glass sphere layer exhibited higher heterogeneity than the 140-165 μm layer, as indicated by G0-Δν correlations.
- Slice selection was successfully validated on various samples.
Conclusions:
- The developed 2D NMR pulse sequence provides accurate spatially resolved pore size distributions.
- The method effectively quantifies sample heterogeneity based on magnetic susceptibility-induced gradients.
- This technique offers a valuable tool for characterizing complex porous materials.
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