Abstract:
:Packing behavior and flowability of particulate material have long been acknowledged as important parameters for the processing of pharmaceutical materials. When properly understood, these properties can provide insight into weight uniformity, tableting performance and process design. The aim of this study was to measure particle size and shape distributions of different granular intermediates with a dynamic particle size image analyzer, and then use these distributions to predict packing efficiency and different metrics of flowability by employing partial least squares (PLS) modeling. From measurements of size and shape, a model was constructed that allowed for the prediction of flowability indices, bulk and tap densities with a high degree of accuracy for the granular materials used. In this study the use of size and shape distributions in the construction of a model providing both accurate flowability indices and bulk and tap density estimates has been demonstrated for example granular materials in which cohesive forces did not dominate powder behavior. It is believed that the continued application of the outlined experimental design would eventually lead to the fundamental understanding of how size and shape characteristics of materials influence particle behavior including downstream processibility.
journal_name
J Pharm Scijournal_title
Journal of pharmaceutical sciencesauthors
Sandler N,Wilson Ddoi
10.1002/jps.21884subject
Has Abstractpub_date
2010-02-01 00:00:00pages
958-68issue
2eissn
0022-3549issn
1520-6017pii
S0022-3549(16)30394-Xjournal_volume
99pub_type
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