A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blends

A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blends

This paper presents a system of hybrid models that combine both mechanistic and data-driven approaches to predict physical powder blend properties from their raw component properties. Mechanistic, probabilistic models were developed to predict the particle size and shape, represented by aspect ratio...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohammad Salehian, Jonathan Moores, Jonathan Goldie, Isra' Ibrahim, Carlota Mendez Torrecillas, Ishwari Wale, Faisal Abbas, Natalie Maclean, John Robertson, Alastair Florence, Daniel Markl
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:International Journal of Pharmaceutics: X
Subjects:
Computational model
Pharmaceutical mixtures
Particle size
Particle shape
Bulk density
Tapped density
Online Access:http://www.sciencedirect.com/science/article/pii/S2590156724000707
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2590156724000707

Similar Items