PREDICTION OF NANOFILTRATION MEMBRANE PERFORMANCE: ANALYSIS OF ION TRANSPORT MECHANISMS
The previous studies on nanofiltration (NF) more focusing on the work to update the existing predictive models to enhance its application in order to optimize the separation prediction. There is still lack of research which successfully assesses ion transport mechanisms modes for separation process prediction optimization. In this study, the percentage contribution of three transport modes: diffusion, electromigration and convection as described in Extended Nernst-Planck (ENP) equation were
... ) equation were further evaluated. Prior the prediction, locally fabricated polysulfone (PSf) membranes with three different polymer concentrations; 19%, 21% and 23% were characterized in terms of pore radius, rp ratio of membrane thickness to porosity, ∆x/Ak and effective charge density, Xd using uncharged and charged solutes rejection data, utilizing DSP prediction model in our developed NF-BIN system. The rejection prediction performance was then performed to predict the percentage contribution of ion transport mechanism at three cases; at limiting chloride ion rejections, at various rp with constant ζ=3.5 and at various ζ with constant rp=1.14 nm. The results obtained from this study indicated that diffusion is the most dominant and significant ion transport mode.