Applying surface energy derived cohesive–adhesive balance model in predicting the mixing, flow and compaction behaviour of interactive mixtures

Abstract

ObjectiveIn this study, we investigated the applicability of cohesive–adhesive balance (CAB) model to predict the interactive mixing behaviour of small excipient particles. Further, we also investigated the application of this CAB model to predict the flow and compactibility of resultant blends. MethodsExcipients created by co-spraying polyvinylpyrrolidone (PVP, a model pharmaceutical binder) with various l-leucine concentrations were used for this study. Paracetamol was used as model active pharmaceutical ingredient (API). The surface energy was used to derive the work of cohesion (wco) and work of adhesion (wad) to predict the interactive mixing behaviour of the excipients with paracetamol. The blends were visualised under a scanning electron microscopy microscope to assess the interactive mixing behaviour. In addition, the flow performance and tabletting behaviour of various blends were characterised. ResultsThe surface-energy derived work of adhesion (wad) between excipient and paracetamol particles increased, while the corresponding work of cohesion (wco) between excipient particles decreased, with increasing l-leucine concentrations. In blends for which the work of cohesion was higher than the work of adhesion (wco>wad), small excipient particles were apparent as agglomerates. For excipients with 5% and higher l-leucine concentrations, the work of adhesion between excipient and paracetamol particles was higher than or equivalent to the work of cohesion between excipient particles (wad⩾wco) and agglomerates were less apparent. This is an indicator of formation of homogeneous interactive mixtures. At 5% (w/w) excipient proportions, blends for which wad⩾wco demonstrated higher compactibility than other blends. Furthermore, at 10% (w/w) and higher excipient proportions, these blends also demonstrated better flow performance than other blends. ConclusionIn conclusion, this is the first study to demonstrate that surface-energy derived CAB data effectively predict the interactive mixing behaviour of small excipient particles. Furthermore, at certain proportions of small excipient particles the CAB model also predicts the flow and compaction behaviour of the API/excipient blends.