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

Hikaru G. Jolliffe; Foteini Papathanasiou; Elke Prasad; Gavin Halbert; John Robertson; Cameron J. Brown; Alastair J. Florence

doi:10.1016/B978-0-12-818634-3.50148-X

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

Hikaru G. Jolliffe, Foteini Papathanasiou, Elke Prasad, Gavin Halbert, John Robertson, Cameron J. Brown, Alastair J. Florence

Strathclyde Institute Of Pharmacy And Biomedical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

7 Citations (Scopus)

65 Downloads (Pure)

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 language	English
Title of host publication	29th European Symposium on Computer Aided Chemical Engineering
Pages	883-888
Number of pages	6
Volume	46
DOIs	https://doi.org/10.1016/B978-0-12-818634-3.50148-X
Publication status	Published - 25 Jul 2019
Event	29th European Symposium on Computer Aided Process Engineering - Evoluon, Eindhoven, Netherlands Duration: 16 Jun 2019 → 19 Jun 2019 Conference number: 29 https://escape29.nl/

Publication series

Name	Computer Aided Chemical Engineering
Publisher	Elsevier
ISSN (Print)	1570-7946

Conference

Conference	29th European Symposium on Computer Aided Process Engineering
Abbreviated title	ESCAPE
Country/Territory	Netherlands
City	Eindhoven
Period	16/06/19 → 19/06/19
Internet address	https://escape29.nl/

Keywords

direct compaction
optimisation
tablet prediction
continuous pharmaceutical manufacturing
CPM

Access to Document

10.1016/B978-0-12-818634-3.50148-X

Jolliffe-etal-CACE-2019-Improving-the-prediction-of-multi-component-tablet-propertiesAccepted author manuscript, 593 KBLicence: CC BY-NC-ND 4.0

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

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title = "Improving the prediction of multi-component tablet properties from pure component parameters",

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{\textregistered} PH-101 and Pharmatose{\textregistered} 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.",

keywords = "direct compaction, optimisation, tablet prediction, continuous pharmaceutical manufacturing, CPM",

author = "Jolliffe, \{Hikaru G.\} and Foteini Papathanasiou and Elke Prasad and Gavin Halbert and John Robertson and Brown, \{Cameron J.\} and Florence, \{Alastair J.\}",

year = "2019",

month = jul,

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publisher = "Elsevier",

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note = "29th European Symposium on Computer Aided Process Engineering, ESCAPE ; Conference date: 16-06-2019 Through 19-06-2019",

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Jolliffe, HG, Papathanasiou, F, Prasad, E , Halbert, G , Robertson, J , Brown, CJ & Florence, AJ 2019, Improving the prediction of multi-component tablet properties from pure component parameters. in 29th European Symposium on Computer Aided Chemical Engineering. vol. 46, Computer Aided Chemical Engineering, pp. 883-888, 29th European Symposium on Computer Aided Process Engineering, Eindhoven, Netherlands, 16/06/19. https://doi.org/10.1016/B978-0-12-818634-3.50148-X

Improving the prediction of multi-component tablet properties from pure component parameters. / Jolliffe, Hikaru G.; Papathanasiou, Foteini; Prasad, Elke et al.
29th European Symposium on Computer Aided Chemical Engineering. Vol. 46 2019. p. 883-888 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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T1 - Improving the prediction of multi-component tablet properties from pure component parameters

AU - Jolliffe, Hikaru G.

AU - Papathanasiou, Foteini

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AU - Robertson, John

AU - Brown, Cameron J.

AU - Florence, Alastair J.

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

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Cameron Brown

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

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Cameron Brown

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