Flexible modelling of the dissolution performance of directly compressed tablets

Maclean, Natalie and Armstrong, John A. and Carroll, Mark A. and Salehian, Mohammad and Mann, James and Reynolds, Gavin and Johnston, Blair and Markl, Daniel (2024) Flexible modelling of the dissolution performance of directly compressed tablets. International Journal of Pharmaceutics, 656. 124084. ISSN 1873-3476 (https://doi.org/10.1016/j.ijpharm.2024.124084)

[thumbnail of Maclean-etal-IJP-2024-Flexible-modelling-of-the-dissolution-performance-of-directly-compressed-tablets]
Preview
Text. Filename: Maclean-etal-IJP-2024-Flexible-modelling-of-the-dissolution-performance-of-directly-compressed-tablets.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (1MB)| Preview

Abstract

In this study, a compartmental disintegration and dissolution model is proposed for the prediction and evaluation of the dissolution performance of directly compressed tablets. This dissolution model uses three compartments (Bound, Disintegrated, and Dissolved) to describe the state of each particle of active pharmaceutical ingredient. The disintegration of the tablet is captured by three fitting parameters. Two disintegration parameters, β0 and βt,0 , describe the initial disintegration rate and the change in disintegration rate, respectively. A third parameter, α, describes the effect of the volume of dissolved drug on the disintegration process. As the tablet disintegrates, particles become available for dissolution. The dissolution rate is determined by the Nernst-Brunner equation, whilst taking into account the hydrodynamic effects within the vessel of a USP II (paddle) apparatus. This model uses the raw material properties of the active pharmaceutical ingredient (solubility, particle size distribution, true density), lending it towards early development activities during which time the amount of drug substance available may be limited. Additionally, the strong correlations between the fitting parameters and the tablet porosity indicate the potential to isolate the manufacturing effects and thus implement the model as part of a real-time release testing strategy for a continuous direct compression line.

ORCID iDs

Maclean, Natalie ORCID logoORCID: https://orcid.org/0000-0003-0768-1673, Armstrong, John A. ORCID logoORCID: https://orcid.org/0000-0003-1589-9365, Carroll, Mark A., Salehian, Mohammad ORCID logoORCID: https://orcid.org/0000-0003-4073-292X, Mann, James, Reynolds, Gavin, Johnston, Blair ORCID logoORCID: https://orcid.org/0000-0001-9785-6822 and Markl, Daniel ORCID logoORCID: https://orcid.org/0000-0003-0411-733X;