Alastair J. Florence
Strathclyde Institute of Pharmacy and Biomedical Sciences
194 Papers
1.2K Citations
Alastair J. Florence is an academic researcher from Strathclyde Institute of Pharmacy and Biomedical Sciences. The author has contributed to research in topics: Crystal structure & Crystallization. The author has an hindex of 36, co-authored 180 publications. Previous affiliations of Alastair J. Florence include Engineering and Physical Sciences Research Council & University of Strathclyde.
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Papers
Use of terahertz-Raman spectroscopy to determine solubility of the crystalline active pharmaceutical ingredient in polymeric matrices during hot melt extrusion
Ecaterina Bordos,Muhammad T. Islam,Alastair J. Florence,Gavin Halbert,John Forsyth Russell Robertson +4 more
TL;DR: Terahertz (THz) Raman spectroscopy was introduced as a novel empirical approach to determine the saturated solubility of crystalline active pharmaceutical ingredient (API) in polymeric matrices directly during hot melt extrusion, demonstrating a novel capability to provide real-time API–polymer phase equilibria data in a manufacturing relevant environment and promising potential to predict solid-statesolubility and physical stability of ASDs.
Crystal structures with a challenge: high-pressure crystallisation of ciprofloxacin sodium salts and their recovery to ambient pressure
Francesca P. A. Fabbiani,Birger Dittrich,Alastair J. Florence,Thomas Gelbrich,Michael B. Hursthouse,Werner F. Kuhs,Norman Shankland,Heidrun Sowa +7 more
TL;DR: In this article, the first reported examples of ciprofloxacin chelating a Group IA monovalent cation were obtained using the XPac method, and the structures were described and compared using XPac.
Hirshfeld surface analysis of two bendroflumethiazide solvates.
Francesca P. A. Fabbiani,Charlotte K. Leech,Kenneth Shankland,Andrea Johnston,Philippe Fernandes,Alastair J. Florence,Norman Shankland +6 more
TL;DR: This analysis confirms the atomic positions of methyl H atoms of the solvent molecules that were inferred from the X-ray data and provides a useful tool for structure validation.
A micro-XRT Image Analysis and Machine Learning Methodology for the Characterisation of Multi-Particulate Capsule Formulations.
TL;DR: The application of X-ray microtomography for quantitative structural analysis of pharmaceutical multi-particulate systems was demonstrated for commercial capsules, each containing approximately 300 formulated ibuprofen pellets, with clear potential to directly inform manufacturing processes, accelerating development and optimisation.
Machine Learning-Derived Correlations for Scale-Up and Technology Transfer of Primary Nucleation Kinetics
Stephanie Yerdelen,Yihui Yang,Justin Quon,Charles D. Papageorgiou,Christopher Mitchell,Ian Houson,Jan Sefcik,Joop H. ter Horst,Alastair J. Florence,Cameron J. Brown +9 more
TL;DR: In this article , a series of isothermal induction time studies were performed across a range of vessel volumes, impeller types, and impeller speeds, and the nucleation rate and growth time were estimated as parameters of an induction time distribution model.