Research reveals a new method to analyze pore shapes in nanoporous materials, suggesting improved understanding of material properties.
In crystalline porous materials, pore shapes can be determined using analytical techniques, such as transmission electron microscopy and X-ray diffraction. However, pore shape analysis for amorphous nanoporous materials remains a longstanding challenge. In our previous study, we confirmed that, for microporous activated carbons with slit-shaped pores, the interaction between the pore surface and an adsorbed xenon (Xe) molecule (δS) depends only on a parameter related to pore size─the ratio of the pore volume and specific surface area (V/SSA)─and we verified the effectiveness of adsorption-controlled Xe isotope-nuclear magnetic resonance (¹²⁹Xe-NMR) for evaluating the pore size of the slit-shaped porous carbons. In the present study, we examined the potential of this ¹²⁹Xe-NMR technique for pore shape analysis in amorphous nanoporous materials using various carbon- and silica-based nanoporous materials with pores of different shapes ranging in size from micropores to mesopores. By using the inverse pore size factor (SSA/V), we found that nanoporous materials with cylindrical pores exhibited clearly different δS-SSA/V plots from those of slit-type nanoporous materials. At the same pore size, δS values were higher for cylindrical pores than for slit-shaped pores, consistent with the stronger solid-fluid interaction for the former estimated by integrated Lennard-Jones calculations. Moreover, in δS-V/SSA plots, distinct correlations for each nanoporous material series were obtained, corresponding to the pore connectivity gradient. These results demonstrate the potential of adsorption-controlled ¹²⁹Xe-NMR for analyzing the pore shape and connectivity as well as the pore size in various nanoporous materials.
No takes yet. Share an insight, caveat, or question.
Li et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: