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Open AccessFeature PaperArticle

Advances in the Interpretation of Frequency-Dependent Nuclear Magnetic Resonance Measurements from Porous Material

1
Department of Physics, University of Surrey, Guildford, Surrey GU2 7XH, UK
2
Department of Physics and Astronomy, Viale Berti Pichat 6/2, 40127 Bologna, Italy
3
Department of Civil, Chemical, Environmental, and Materials Engineering, Via Terracini 28, 40126 Bologna, Italy
*
Author to whom correspondence should be addressed.
Molecules 2019, 24(20), 3688; https://doi.org/10.3390/molecules24203688
Received: 27 August 2019 / Revised: 27 September 2019 / Accepted: 8 October 2019 / Published: 14 October 2019
(This article belongs to the Special Issue Advances in Porous Materials)
Fast-field-cycling nuclear magnetic resonance (FFC-NMR) is a powerful technique for non-destructively probing the properties of fluids contained within the pores of porous materials. FFC-NMR measures the spin–lattice relaxation rate R 1 ( f ) as a function of NMR frequency f over the kHz to MHz range. The shape and magnitude of the R 1 ( f ) dispersion curve is exquisitely sensitive to the relative motion of pairs of spins over time scales of picoseconds to microseconds. To extract information on the nano-scale dynamics of spins, it is necessary to identify a model that describes the relative motion of pairs of spins, to translate the model dynamics to a prediction of R 1 ( f ) and then to fit to the experimental dispersion. The principles underpinning one such model, the 3 τ model, are described here. We present a new fitting package using the 3 τ model, called 3TM, that allows users to achieve excellent fits to experimental relaxation rates over the full frequency range to yield five material properties and much additional derived information. 3TM is demonstrated on historic data for mortar and plaster paste samples. View Full-Text
Keywords: fast-field cycling; nuclear magnetic resonance; relaxation rate; porous material; diffusion fast-field cycling; nuclear magnetic resonance; relaxation rate; porous material; diffusion
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Faux, D.; Kogon, R.; Bortolotti, V.; McDonald, P. Advances in the Interpretation of Frequency-Dependent Nuclear Magnetic Resonance Measurements from Porous Material. Molecules 2019, 24, 3688.

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