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Composition dependent transport diffusion in non-ideal mixtures from spatially resolved nuclear magnetic resonance spectroscopy

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Abstract

Nuclear magnetic resonance (NMR) spectroscopy is a well-established technique for the measurement of intra-diffusion coefficients. Recently, such information has been used as a basis of predictive models to extrapolate to the Fick diffusion coefficient of liquid mixtures. The present work presents a new approach to directly access the Fick diffusion coefficient by spatially resolved NMR experiments. The Fick diffusion coefficient of the binary mixture TEA/H2O was determined at two temperatures, 283.2 K and 275.2 K. The results are consistent with values previously reported either from optical experiments or predictive Darken-type models developed for this system. The proposed methodology adds high-resolution NMR to the toolbox for the study of the transport diffusion of multicomponent mixtures. It is, however, still limited to mixtures with liquid–liquid equilibrium phase separation.

Graphical abstract: Composition dependent transport diffusion in non-ideal mixtures from spatially resolved nuclear magnetic resonance spectroscopy

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Publication details

The article was received on 31 Aug 2018, accepted on 15 Oct 2018 and first published on 16 Oct 2018


Article type: Paper
DOI: 10.1039/C8CP05539D
Citation: Phys. Chem. Chem. Phys., 2018, Advance Article
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    Composition dependent transport diffusion in non-ideal mixtures from spatially resolved nuclear magnetic resonance spectroscopy

    C. F. Pantoja, Y. M. Muñoz-Muñoz, L. Guastar, J. Vrabec and J. Wist, Phys. Chem. Chem. Phys., 2018, Advance Article , DOI: 10.1039/C8CP05539D

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