Pharmaceutics | |
Characterization of Simultaneous Evolution of Size and Composition Distributions Using Generalized Aggregation Population Balance Equation | |
Gavin Walker1  Vivek Ranade1  Mehakpreet Singh1  Saeed Shirazian1  Ashish Kumar2  | |
[1] Department of Chemical Sciences, Bernal Institute, University of Limerick, V94 T9PX Limerick, Ireland;Pharmaceutical Engineering, Faculty of Pharmaceutical Sciences, Ghent University, 9000 Gent, Belgium; | |
关键词: aggregation; finite volume scheme; cell average technique; mixing of components; integral moments; | |
DOI : 10.3390/pharmaceutics12121152 | |
来源: DOAJ |
【 摘 要 】
The application of multi-dimensional population balance equations (PBEs) for the simulation of granulation processes is recommended due to the multi-component system. Irrespective of the application area, numerical scheme selection for solving multi-dimensional PBEs is driven by the accuracy in (size) number density prediction alone. However, mixing the components, i.e., the particles (excipients and API) and the binding liquid, plays a crucial role in predicting the granule compositional distribution during the pharmaceutical granulation. A numerical scheme should, therefore, be able to predict this accurately. Here, we compare the cell average technique (CAT) and finite volume scheme (FVS) in terms of their accuracy and applicability in predicting the mixing state. To quantify the degree of mixing in the system, the sum-square
【 授权许可】
Unknown