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

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

Christian F. Pantoja, Y. Mauricio Munoz-Munoz, Lorraine Guastar, Jadran Vrabec and Julien Wist
Physical chemistry chemical physics : PCCP, Vol.20(44), pp.28185-28192
2018
PMID: 30394467

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.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
2 Chemistry
2.89 Ionic, Molecular & Complex Liquids
2.89.72 Vapor-Liquid Equilibria
Web Of Science research areas
Chemistry, Physical
Physics, Atomic, Molecular & Chemical
ESI research areas
Chemistry
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