PURPOSE: A descriptive model for microparticle preparation by micromixers was developed to allow prediction of nascent microsphere size and provide a better understanding of a microscale oil/water (O/W) emulsion process. METHODS: Nascent blank microparticles were prepared by an O/W emulsion method using a micromixer. Seven dimensionless groups were derived from the relevant process parameters. A multiple linear regression model was established on an empirical basis to describe the relationship between the key process parameters and the resulting Sauter particle diameter. RESULTS: The investigated micromixer is particularly suitable for processing of low-viscosity systems. The particle size is mainly controlled by flow velocity. Reynolds number and the viscosity ratio were found to be the most important dimensionless groups regarding the preparation procedure. Particle size was predicted with an accuracy up to 100% applying the empirically derived equations. CONCLUSIONS: An O/W process using micromixers for microparticle preparation with a multitude of influencing parameters was successfully characterized by application of dimensional analysis. Dimensionless groups turned out to be suitable for prediction of microparticle size with high precision.
PURPOSE: A descriptive model for microparticle preparation by micromixers was developed to allow prediction of nascent microsphere size and provide a better understanding of a microscale oil/water (O/W) emulsion process. METHODS: Nascent blank microparticles were prepared by an O/W emulsion method using a micromixer. Seven dimensionless groups were derived from the relevant process parameters. A multiple linear regression model was established on an empirical basis to describe the relationship between the key process parameters and the resulting Sauter particle diameter. RESULTS: The investigated micromixer is particularly suitable for processing of low-viscosity systems. The particle size is mainly controlled by flow velocity. Reynolds number and the viscosity ratio were found to be the most important dimensionless groups regarding the preparation procedure. Particle size was predicted with an accuracy up to 100% applying the empirically derived equations. CONCLUSIONS: An O/W process using micromixers for microparticle preparation with a multitude of influencing parameters was successfully characterized by application of dimensional analysis. Dimensionless groups turned out to be suitable for prediction of microparticle size with high precision.