The design and optimization
of solvent extraction processes for
metal separations are challenging tasks due to the large number of
adjustable parameters. A quantitative predictive solvent extraction
model could help to determine the optimal parameters for solvent extraction
flow sheets, but such predictive models are not available yet. The
main difficulties for such models are the large deviations from ideal
thermodynamic behavior in both the aqueous and organic phases due
to high solute concentrations. We constructed a molecular thermodynamic
model for the extraction of CoCl
2
from different chloride
salts by 0.2 mol L
–1
trioctylmethylammonium chloride
in toluene using the OLI mixed-solvent electrolyte (OLI-MSE) framework.
This was accomplished by analyzing the water and hydrochloric acid
content of the organic phase, measuring the water activity of the
system, and using metal complex speciation and solvent extraction
data. The full extractant concentration range cannot be modeled by
the OLI-MSE framework as this framework lacks a description for reversed
micelle formation. Nevertheless, salting effects and the behavior
of hydrochloric acid can be accurately described with the presented
extraction model, without determining specific Co(II)–salt
cation interaction parameters. The resulting model shows that the
salting effects originate from indirect salt cation–solvent
interactions that influence the availability of water in the aqueous
and organic phases.