aDepartment of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, NJ, USAbLaboratory of Pharmaceutical Process Analytical Technology, Ghent University, BelgiumcBIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, BelgiumdPharmaceutical Development & Manufacturing Sciences, Janssen, Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium
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Graphical abstractThe comilling process plays an important role in solid oral dosage manufacturing. In this process, the granulated products are comminuted to the required size distribution through collisions created from a rotating impeller. In addition to predicting particle size distribution, there is a need to predict other critical quality attributes (CQAs) such as bulk density and tapped density, as these impact tablet compaction behavior. A comprehensive modeling approach to predict the CQAs is needed to aid continuous process modeling in order to simulate interaction with the tablet press operation. In the current work, a full factorial experiment design is implemented to understand the influence of granule strength, impeller speed and residual moisture content on the CQAs. A population balance modeling approach is applied to predict milled particle size distribution and a partial least squares modeling approach is used to predict bulk and tapped density of the milled granule product. Good agreement between predicted and experimental CQAs is achieved. An Symbol value of 0.9787 and 0.7633 is obtained when fitting the mean particle diameters of the milled product and the time required to mill the granulated material respectively.