EPJ Nuclear Sci. Technol.
Volume 6, 2020
|Number of page(s)||18|
|Published online||15 January 2020|
A minimal predictive model for better formulations of solvent phases with low viscosity
Institute for Separation Chemistry, ICSM, CEA, CNRS, ENSCM, Univ. Montpellier, Marcoule, France
2 Department of Physical Chemistry, University of Regensburg, 93051 Regensburg, Germany
3 COSMOlogic GmbH & Co. KG, 51379 Leverkusen, Germany
4 CEA, DEN, DMRC, Univ. Montpellier, Marcoule, France
* e-mail: firstname.lastname@example.org
Received in final form: 10 October 2019
Accepted: 13 November 2019
Published online: 15 January 2020
The viscosity increase of the organic phase when liquid–liquid extraction processes are intensified causes difficulties for hydrometallurgical processes on industrial scale. In this work, we have analyzed this problem for the example of N,N-dialkylamides in the presence of uranyl nitrate experimentally. Furthermore, we present a minimal model at nanoscale that allows rationalizing the experimental phenomena by connecting the molecular, mesoscopic and macroscopic scale and that allows predicting qualitative trends in viscosity. This model opens broad possibilities in optimizing constraints and is a further step towards knowledge-based formulation of extracting microemulsions formed by microstructures with low connectivity, even at high load with heavy metals.
© M. Pleines et al., published by EDP Sciences, 2020
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