Prediction of solid fraction from powder mixtures based on single component compression analysis

The aim of this study was to provide a systematic evaluation of various compression models (Percolation, Kawakita, Exponential model) in respect to predict tablet́s solid fraction for direct compression mixtures, based on single component compression analysis. Four mixtures were compressed over a wide pressure range at various fractions of microcrystalline cellulose (MCC) and pre-agglomerated lactose monohydrate (LAC) to compare an adjusted Percolation, Kawakita and a simple Exponential model. Based on single compression analysis of the pure excipients and application of these models, it was possible to predict the solid fraction of all mixtures. The Kawakita model showed overall superior prediction accuracy, whereas the Percolation model resulted in the best fit for mixtures containing microcrystalline cellulose in a range of 72%-48%. Both models were in good agreement at residuals below 3%.

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