Correlating phase behaviour and diffusion in mesopores: perspectives revealed by pulsed field gradientNMR

Literature Information

Publication Date 2009-03-16
DOI 10.1039/B822939B
Impact Factor 3.676
Authors

Rustem Valiullin, Jörg Kärger, Roger Gläser


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Abstract

Porous solids represent an important class of materials widely used in different applications in the field of chemical engineering. In particular, mesoporous hosts attract special attention due to their fascinating match of transport, geometrical and chemical properties. Not only a very high specific surface area, accessible for adsorption and heterogeneous catalysis, but also their efficient transport properties are the key factors determining optimal use of these materials. Therefore, a fundamental understanding of the correlations between the phase state of confined fluids, their transport properties and the geometrical features of confinement are of particular importance. Among the different analytical techniques, nuclear magnetic resonance (NMR) is especially suited to cover various crucial aspects of the highlighted issues. In this work, we provide a short overview of recent advances related to the interrelations of phase behaviour and diffusion in mesoporous materials studied using various NMR techniques.

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Contents list

Front/Back Matter

DOI: 10.1039/C8CP91855D

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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