title: Original predictive approach to the compressibility of pharmaceutical powder mixtures based on the Kawakita equation.
abstract: In the pharmaceutical industry, tablets are obtained by the compaction of two or more components which have different physical properties and compaction behaviours. Therefore, it could be interesting to predict the physical properties of the mixture using the single-component results. In this paper, we have focused on the prediction of the compressibility of binary mixtures using the Kawakita model. Microcrystalline cellulose (MCC) and L-alanine were compacted alone and mixed at different weight fractions. The volume reduction, as a function of the compaction pressure, was acquired during the compaction process ("in-die") and after elastic recovery ("out-of-die"). For the pure components, the Kawakita model is well suited to the description of the volume reduction. For binary mixtures, an original approach for the prediction of the volume reduction without using the effective Kawakita parameters was proposed and tested. The good agreement between experimental and predicted data proved that this model was efficient to predict the volume reduction of MCC and L-alanine mixtures during compaction experiments.
authors.affiliation: Univ Paris-Sud, UFR de Pharmacie, EA401, Matériaux et Santé, 5 rue Jean-Baptiste Clément, Châtenay-Malabry, F-92296, France. vincent.mazel@u-psud.fr
authors.forename: Vincent
authors.initials: V
authors.lastname: Mazel
authors.forename: Virginie
authors.initials: V
authors.lastname: Busignies
authors.forename: Stéphane
authors.initials: S
authors.lastname: Duca
authors.forename: Bernard
authors.initials: B
authors.lastname: Leclerc
authors.forename: Pierre
authors.initials: P
authors.lastname: Tchoreloff
mesh_terms: D000409:Alanine / Q000737:chemistry*; D002482:Cellulose / Q000737:chemistry*; D005079:Excipients / Q000737:chemistry*; D008962:Models, Theoretical; D011208:Powders; D011312:Pressure; D013607:Tablets
chemical_list: D005079:Excipients; D011208:Powders; D013607:Tablets; D002482:Cellulose; D000409:Alanine; C109691:microcrystalline cellulose