Method development through statistical design for the dependence of viscosity for solutions of carboxymethylcellulose on temperature, concentration, and dilution.
Statistical method development is useful when expense, quantity of material, or time is limited, as experiment numbers are significantly reduced. The purpose of this study was to create a statistical model that explains the relationship between viscosity, temperature, concentration, and dilution due to bodily fluids in a pharmaceutical context of carboxymethylcellulose (CMC) solutions. The Graeco-Latin square design was employed to chose data points and Minitab® statistical software was used for data analysis. It was found in this model that concentration and dilution have the greatest effect on viscosity, while temperature has a lesser effect. It was also found that there was some interaction between the variables (temperature, concentration, and dilution) chosen for this study
