title: Predictive and correlative techniques for the design, optimisation and manufacture of solid dosage forms.
abstract: There is much interest in predicting the properties of pharmaceutical dosage forms from the properties of the raw materials they contain. Achieving this with reasonable accuracy would aid the faster development and manufacture of dosage forms. A variety of approaches to prediction or correlation of properties are reviewed. These approaches have variable accuracy, with no single technique yet able to provide an accurate prediction of the overall properties of the dosage form. However, there have been some successes in predicting trends within a formulation series based on the physicochemical and mechanical properties of raw materials, predicting process scale-up through mechanical characterisation of materials and predicting product characteristics by process monitoring. Advances in information technology have increased predictive capability and accuracy by facilitating the analysis of complex multivariate data, mapping formulation characteristics and capturing past knowledge and experience.
authors.affiliation: Pharmaceutical and Analytical R&D, AstraZeneca R&D Charnwood, Bakewell Road, Loughborough, Leicestershire, LE11 5RH, UK. Ian.Hardy@astrazeneca.com
authors.forename: Ian J
authors.initials: IJ
authors.lastname: Hardy
authors.forename: Walter G
authors.initials: WG
authors.lastname: Cook
mesh_terms: D002626:Chemistry, Pharmaceutical; D015195:Drug Design; D005544:Forecasting; D006801:Humans; D008962:Models, Theoretical; D010599:Pharmacokinetics; D010600:Pharmacology