Comparative studies of powder flow predictions using milligrams of powder for identifying powder flow issues

Deng, Tong and Garg, Vivek and Pereira Diaz, Laura and Markl, Daniel and Brown, Cameron and Florence, Alastair and Bradley, Michael S.A. (2022) Comparative studies of powder flow predictions using milligrams of powder for identifying powder flow issues. International Journal of Pharmaceutics, 628. 122309. ISSN 1873-3476 (https://doi.org/10.1016/j.ijpharm.2022.122309)

[thumbnail of Deng-etal-IJP-2022-Comparative-studies-of-powder-flow-predictions]
Preview
 Text. Filename: Deng_etal_IJP_2022_Comparative_studies_of_powder_flow_predictions.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (3MB)| Preview

Abstract

Characterising powder flowability can be challenging when sample quantity is insufficient for a conventional shear cell test, especially in the pharmaceutical industry, where the cost of the active pharmaceutical ingredient (API) used is expensive at an early stage in the drug product development. A previous study demonstrated that powder flowability could be predicted based on powder physical properties and cohesiveness using a small quantity of powder samples (50 mg), but it remained an open question regarding the accuracy of the prediction compared to that measured using industry-standard shear cell testers and its potential to substitute the existing testers. In this study, 16 pharmaceutical powders were selected for a detailed comparative study of the predictive model. The flowability of the powders was predicted using a Bond number and given consolidation stresses, σ , coupled with the model, where the Bond number represents powder cohesiveness. Compared to the measurements using a Powder Flow Tester (Brookfield) and an FT4 (Freeman Technology) Powder Rheometer shear cell tester, the results showed a good agreement between the predictions and the measurements (15 g) if the available amount of sample is small.

ORCID iDs

Deng, Tong, Garg, Vivek, Pereira Diaz, Laura, Markl, Daniel ORCID logoORCID: https://orcid.org/0000-0003-0411-733X, Brown, Cameron ORCID logoORCID: https://orcid.org/0000-0001-7091-1721, Florence, Alastair ORCID logoORCID: https://orcid.org/0000-0002-9706-8364 and Bradley, Michael S.A.;
CORE (COnnecting REpositories)