title: Predictions of tensile strength of binary tablets using linear and power law mixing rules.
abstract: There has recently been an increased interest in predicting the tensile strength of binary tablets from the properties of the individual components. In this paper, measurements are reported for tensile strength of tablets compressed from single-component and binary powder mixtures of lactose with microcrystalline cellulose (MCC), and lactose with two types of silicified microcrystalline cellulose (SMCC and SMCC-HD), which are different in compressibility. Measurements show the tensile strength increases with the relative density for single powders, and both with the relative density and the mass fraction of cellulose in the mixtures. It was also observed, for binary mixtures compacted at 50 and 150 MPa, that there was a slight variation in porosity with the mass fraction of celluloses. The predictions of the tensile strength of binary tablets from the characteristics of the single-components was analysed with the extended Ryshkewitch-Duckworth model by assuming both linear and power law mixing rules for the determination of the parameters "tensile strength at zero porosity and bonding capacity constant". As consequence, four models were analysed and compared with measurements using criteria based on the standard deviation from the mean values. Results showed a good prediction using a linear mixing rule combined with the power law. However, as the predictions of these models depend on the powders and the porosity range for the characterization of single-components, none of them can be systematically considered as being the best to predict binary behaviour from data for individual powders.
authors.affiliation: Chemical Engineering Laboratory for Particulate Solids, UMR CNRS 2392, Ecole des Mines d'Albi-Carmaux, Campus Jarlard, Albi, France. michrafy@enstimac.fr
authors.forename: A
authors.initials: A
authors.lastname: Michrafy
authors.forename: M
authors.initials: M
authors.lastname: Michrafy
authors.forename: M S
authors.initials: MS
authors.lastname: Kadiri
authors.forename: J A
authors.initials: JA
authors.lastname: Dodds
mesh_terms: D002482:Cellulose / Q000737:chemistry; D002626:Chemistry, Pharmaceutical; D004339:Drug Compounding; D005079:Excipients / Q000737:chemistry*; D007785:Lactose / Q000737:chemistry; D016014:Linear Models; D008956:Models, Chemical; D016062:Porosity; D011208:Powders; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D013499:Surface Properties; D013607:Tablets; D013678:Technology, Pharmaceutical; D013718:Tensile Strength
chemical_list: D005079:Excipients; D011208:Powders; D013607:Tablets; D002482:Cellulose; D007785:Lactose; C109691:microcrystalline cellulose