A New Insight into Morphology of Solvent Resistant Nanofiltration (SRNF) Membranes: Image Processing Assisted Review

Abstract

The aim of this review is to investigate the morphological properties of polyimide based SRNF membranes by mean of image processing. Effect of phase inversion parameters like polymer concentration, volatile co-solvent, pre-evaporation time, additives in coagulation bath, polymers weight ratio in composite membranes, addition of nano particles and cross-linking agents have been reviewed. The voids of membrane were targeted to survey in the aspect of void area concentration in the SEM micrograph, mean of voids area, voids orientation and circle equivalent diameters of voids. This method by mean of the developed software could make the morphological studies of membranes easy. The population of different measured parameters of the voids could also measure. In conclusion for polyimide based membranes there are specific trends for change in voids properties by changing of phase inversion parameters. It was predictable, but investigated qualitatively up to now and this review can confirm the qualitative observations and also open new discussions about, for example void orientations that are not investigated in any study up to now.

Keywords

• Morphological Property
• Solvent Resistant Nanofiltration
• Nano-porous Membrane
• Phase Inversion
• Image Processing