Optimization of Mixing Parameters for α‐Tocopherol Nanodispersions Prepared Using Solvent Displacement Method

Abstract

AbstractA bottom‐up approach based on a solvent displacement technique was used for the production of α‐tocopherol nanodispersions. Response surface methodology was utilized to study the effect of the mixing conditions of organic and aqueous phases, namely, mixing speed (1 × 100–6 × 100 rpm) and mixing time (30–150 s) on the average particle size (nm), polydispersity index and α‐tocopherol concentration (mg/L) of the nanodispersions. Second order regression models, with high coefficient of determination values (R2 > 0.94 and adjusted R2 > 0.79), were significantly (p < 0.05) fitted for predicting the α‐tocopherol nanodispersion characteristics as functions of mixing parameters. A multiple optimization procedure presented the optimum mixing speed and time as 3.8 × 100 rpm and 70 s, respectively. The statistically insignificant differences between experimental and predicted values of studied responses, verified the satisfactoriness of the models found for explaining the variation of produced nanodispersions, as a function of mixing conditions.