Literature DB >> 12625862

Predictive and correlative techniques for the design, optimisation and manufacture of solid dosage forms.

Ian J Hardy1, Walter G Cook.   

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.

Mesh:

Year:  2003        PMID: 12625862     DOI: 10.1211/002235702423

Source DB:  PubMed          Journal:  J Pharm Pharmacol        ISSN: 0022-3573            Impact factor:   3.765


  2 in total

1.  Applying pattern recognition methods to analyze the molecular properties of a homologous series of nitrogen mustard agents.

Authors:  Ronald Bartzatt; Laura Donigan
Journal:  AAPS PharmSciTech       Date:  2006-04-14       Impact factor: 3.246

2.  Surface energy of microcrystalline cellulose determined by capillary intrusion and inverse gas chromatography.

Authors:  D Fraser Steele; R Christian Moreton; John N Staniforth; Paul M Young; Michael J Tobyn; Stephen Edge
Journal:  AAPS J       Date:  2008-10-08       Impact factor: 4.009

  2 in total

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