Optimization of Membrane Formulation and Process Variables via Crossed-Design Concept in Design of Experimental (DOE)
Abstract:A mixture-process design methodology, i.e., the crossed design, is proposed for experimental analysis and optimization. Five mixture materials for membrane formulation and two process factors for casting condition were fixed in the design methodology. The study was to generate a regression model for each of the responses, based on the experimental data and analysis variance of the study. Based on the response models, the optimal blend and casting condition were predicted. The highest desirability function, D, which prevailed from the optimization was 0.66. This optimal blend composition of the cast solution and the process condition in crossed design is proven to increase the membrane performance through the high membrane porosity, the high protein binding ability, and the fast lateral wicking rate.
Document Type: Research Article
Affiliations: 1: School of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, Seri Ampangan, Nibong Tebal, Penang, Malaysia 2: Institute for Research in Molecular Medicine, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
Publication date: September 1, 2009