Browse by Journal or other publication

2024

Salehian, Mohammad and Moores, Jonathan and Goldie, Jonathan and Ibrahim, Isra and Mendez Torrecillas, Carlota and Wale, Ishwari and Abbas, Faisal and Maclean, Natalie and Robertson, John and Florence, Alastair and Markl, Daniel (2024) A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blends. International Journal of Pharmaceutics: X, 8. 100298. ISSN 2590-1567

2023

Obeid, Mohammad A. and Haifawi, Saja and Khadra, Ibrahim (2023) The impact of solvent selection on the characteristics of niosome nanoparticles prepared by microfluidic mixing. International Journal of Pharmaceutics: X, 5. 100168. ISSN 2590-1567

Bawuah, Prince and Evans, Mike and Lura, Ard and Farrell, Daniel J. and Barrie, Patrick J. and Kleinebudde, Peter and Markl, Daniel and Zeitler, J. Axel (2023) At-line porosity sensing for non-destructive disintegration testing in immediate release tablets. International Journal of Pharmaceutics: X, 5. 100186. ISSN 2590-1567

2022

Obeid, Mohammad A. and Khadra, Ibrahim and A.A. Aljabali, Alaa and Amawi, Haneen and Ferro, Valerie A. (2022) Characterisation of niosome nanoparticles prepared by microfluidic mixing for drug delivery. International Journal of Pharmaceutics: X, 4. 100137. ISSN 2590-1567

2021

Maclean, Natalie and Khadra, Ibrahim and Mann, James and Williams, Helen and Abbott, Alexander and Mead, Heather and Markl, Daniel (2021) Investigating the role of excipients on the physical stability of directly compressed tablets. International Journal of Pharmaceutics: X, 4 (Dec 20). 100106. ISSN 2590-1567

2020

Doerr, Frederik J.S. and Florence, Alastair J. (2020) A micro-XRT image analysis and machine learning methodology for the characterisation of multi- particulate capsule formulations. International Journal of Pharmaceutics: X, 2. 100041. ISSN 2590-1567

2019

Stranzinger, Sandra and Faulhammer, Eva and Li, Jingyi and Dong, Runqiao and Zeitler, J. Axel and Biserni, Stefano and Calzolari, Vittorio and Khinast, Johannes G. and Markl, Daniel (2019) Predicting capsule fill weight from in-situ powder density measurements using terahertz reflection technology. International Journal of Pharmaceutics: X, 1. 100004. ISSN 2590-1567