Improving the prediction of multi-component tablet properties from pure component parameters

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Direct compaction tabletting, a widely used secondary downstream processing operation, has recently received significant research attention. Experimental data can be used to fit model parameters for the prediction of single-component tablet thickness and hardness with good agreement, and this has been done for two components (Avicel® PH-101 and Pharmatose® 50M). These pure component parameters have then been used to predict multicomponent tablet properties, with the use of novel modified parameter averaging calculations improving predictions. Furthermore, a relation has been developed to estimate the required gap between tablet press punch faces for multicomponent tablets based on the gaps required for pure components; a quick and efficient way to estimate the necessary equipment settings to generate the desired compaction forces is a useful tool.

Original languageEnglish
Title of host publication29th European Symposium on Computer Aided Chemical Engineering
Pages883-888
Number of pages6
Volume46
DOIs
Publication statusPublished - 25 Jul 2019
Event29th European Symposium on Computer Aided Process Engineering - Evoluon, Eindhoven, Netherlands
Duration: 16 Jun 201919 Jun 2019
Conference number: 29
https://escape29.nl/

Publication series

NameComputer Aided Chemical Engineering
PublisherElsevier
ISSN (Print)1570-7946

Conference

Conference29th European Symposium on Computer Aided Process Engineering
Abbreviated titleESCAPE
CountryNetherlands
CityEindhoven
Period16/06/1919/06/19
Internet address

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Keywords

  • direct compaction
  • optimisation
  • tablet prediction
  • continuous pharmaceutical manufacturing
  • CPM

Cite this

Jolliffe, H. G., Papathanasiou, F., Prasad, E., Halbert, G., Robertson, J., Brown, C. J., & Florence, A. J. (2019). Improving the prediction of multi-component tablet properties from pure component parameters. In 29th European Symposium on Computer Aided Chemical Engineering (Vol. 46, pp. 883-888). (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-12-818634-3.50148-X