Back to results

University of Greenwich

Physicochemical and computational approaches for the prediction of the manufacturability of active pharmaceutical ingredients

Abstract

dc:description.abstract

Tablets have aided the delivery of active pharmaceutical ingredients (APIs) to patients since the 1800s, however tablet failure, such as punch sticking and tablet hardness issues, during manufacturing is still common. The techniques currently available for the prediction of manufacturability of tablets are not adequately representative of bulk solid properties. There is, therefore, a need to develop new and appropriate characterisation techniques for use in pharmaceutical material evaluation. This is particularly important to ensure that at the manufacturing stage the material properties of medicines are fully understood and predictable to enable optimum manufacturing performance. This thesis presents a novel approach of experimentally predicting punch sticking and deformation properties of APIs. Four diverse particle shapes of ibuprofen, with similar physicochemical properties are reported herein and a correlation between particle shape and sticking propensity established. Ibuprofen particles with a regular particle shape exhibit a greater tendency to stick compared to particles with a needle like particle shape. Surface energy analysis, both experimentally and computationally, reveals that particles with a more regular shape contain a larger proportion of crystal faces that exhibit a higher surface energy driven by the specific energy component. This provides a link between ibuprofen sticking propensity and surface energy. The sticking propensity and surface energy of two further APIs, palbociclib and crizotinib, are reported. In general, particles with regular shapes exhibit higher surface energies and a greater propensity to stick. The specific surface energy measured experimentally and total surface energy measured computationally have been shown as useful tools to fundamentally understand the surface chemistry. These attributes can be used to explain different sticking behaviour between different shapes of the same API, where particles with a high proportion of crystal faces containing unsaturated high energy intermolecular interactions at the surface are more likely to stick. This fundamental understanding could be used to engineer API particle shapes through crystallisation to ultimately reduce punch sticking and minimise production issues during tableting processes.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral
Grantor dc:publisher.institution
University of Greenwich
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hooper, Debbie
Advisors dc:contributor.advisor
  • Mitchell, John
  • Snowden, Martin
  • Clarke, Fiona

Subjects

dc:subject × 1

Rights

Language dc:language
en

Chain of custody

source
Harvested from
University of Greenwich
Base URL
gala.gre.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hooper, Debbie. Physicochemical and computational approaches for the prediction of the manufacturability of active pharmaceutical ingredients. doctoral thesis, University of Greenwich, 2018.