Abstract
Reverse osmosis (RO) membrane technology represents a low-cost, low-energy alternative for
the separation of multi-component organic mixtures. However, limited availability of
experimental data renders the design of such systems challenging. Moreover, mixtures
containing multiple solvent species complicate the applicability of common membrane
transport models. This study presents experimental data on the dead-end batch separation of
nopinone, a useful intermediate in the chemical industry, from mixed methanol-water solvent
across a DOW BW30 RO membrane. Membrane rejection and flux values were determined for
feed concentrations of 0.449 – 1.099 M. Data analysis via the solution-diffusion model
revealed the presence of convective transport in the investigated system, while the Spiegler-
Kedem model obtained a reasonable system description when using a single coefficient for
mass transfer description. Accurate calculation of osmotic pressure in the mixed-solvent
system was found to impact data analysis due to the effects of non-ideality on the
transmembrane driving force. From the Spiegler-Kedem model, permeability coefficient
values A and B were yielded of order 10-7 and 10-8, respectively, with a membrane selectivity
of ~30 bar-1. Finally, the system’s separation performance in continuous cross-flow was
estimated by considering a series of dead-end batch separation units, suggesting feasible
system operation at industrial scale.