Data for: "Quantitative Investigation of Particle Formation of a Model Pharmaceutical Formulation using Single Droplet Evaporation Experiments and X-Ray Tomography"

This is a collection of data and methodologies used in the following publication. Public access to the dataset is currently under embargo, as data forms part of ongoing PhD research. Expressions of interest can be made via the contact email: [email protected]

Title: Quantitative Investigation of Particle Formation of a Model Pharmaceutical Formulation using Single Droplet Evaporation Experiments and X-Ray Tomography
Authors: Frederik J. S. Doerr, Iain D. H. Oswald, Alastair J. Florence
Accepted Date: 18/09/2018
DOI: 10.1016/j.apt.2018.09.027

Abstract:
The implementation of a particle design platform that can be applied to novel pharmaceutical systems using acoustic levitation (SAL) and X-ray tomography (XRT) is discussed. Acoustic levitation was employed to provide a container-less particle design environment for single droplet evaporation experiments. Dried particles were subject to further visual and quantitative structural analysis using X-ray tomography to assess the three-dimensional volume space. The workflow of the combined SAL-XRT platform has been applied to investigate the impact of increasing HPMC K100LV concentrations on the evaporation, drying and final particle morphology of particles from a model pharmaceutical formulation containing metformin and D-mannitol. The morphology and internal structure of the formulated particles after drying are dominated by a crystalline core of D-mannitol partially suppressed with increasing HPMC K100LVadditions. The final structure can be correlated to the observed evaporation kinetics. The characterisation of formulated metformin hydrochloride particles with increasing polymer content demonstrated the importance of an early-stage quantitative assessment of formulation related particle properties. The ability to study the evolution of solid phase formation and its influence on the final particle morphology can enable the selection of formulation and process parameter that deliver the desired particle structure and consequent performance by design.