Publications

Modelling solution speciation to predict pH and supersaturation for design of batch and continuous organic salt crystallisation processes: McGinty John, Wheatcroft Helen, Price Chris J, Sefcik Jan; Fluid Phase Equilibria Vol 565 (2023); https://doi.org/10.1016/j.fluid.2022.113676
Machine learning derived correlations for scale-up and technology transfer of primary nucleation kinetics: Yerdelen Stephanie, Yang Yihui, Quon Justin L, Papageorgiou Charles D, Mitchell Chris, Houson Ian, Sefcik Jan, ter Horst Joop H, Florence Alastair J, Brown Cameron J; Crystal Growth and Design (2023); https://doi.org/10.1021/acs.cgd.2c00192
Digital design of filtration and washing of active pharmaceutical ingredients via mechanistic modelling: Ottoboni Sara, Brown Cameron J, Mehta Bhavik, Jimeno Guillermo, Mitchell Niall A, Sefcik Jan, Price Chris J; Organic Process Research and Development, pp. 1-18 (2022); https://doi.org/10.1021/acs.oprd.2c00165
Tuning interfacial concentration enhancement through dispersion interactions to facilitate heterogeneous nucleation: McKechnie David, Mulheran Paul A, Sefcik Jan, Johnston Karen; Journal of Physical Chemistry C Vol 126, pp. 16387-16400 (2022); https://doi.org/10.1021/acs.jpcc.2c04410
Deep Learning methods for solid loading prediction from in-line Chord Length Distributions (CLDs): Moreno Irene, Boyle Christopher, Ferreira Carla, Chen Yi-Chieh, Brown Cameron, Tachtatzis Christos, Andonovic Ivan, Sefcik Jan, Cardona Javier; Advances in Process Analytics and Control Technologies (2022)
Application of a structured approach to implementation of measurements to a 5-stage cooling crystallisation process: Chong Magdalene, Li Wei, Brown Cameron, McGinty John, Robertson Murray, Johnston Blair, Sefcik Jan, Benyahia Brahim, Rielly Chris, Nordon Alison; Advances in Process Analytics and Control Technologies (2022)

Research interests

Our research expertise is in particle engineering and nanostructured materials, with focus on design of novel particulate products and efficient processes for their manufacturing, across a wide range of applications from nucleation and crystallisation, to protein and peptide self-assembly, to organic gels and nanocomposites.

Our research in pharmaceutical manufacturing aligned with CMAC seeks to enhance access to medicines by increasing quality and reducing costs with the aim improving people’s health and wellbeing.

We develop experimental workflows for product and process development of particulate systems for pharmaceutical applications to obtain better control of critical quality attributes in medicines manufacturing.

We also develop new methods for extracting valuable real time information from process analytical tools such as imaging and scattering/backscattering to enable intelligent decision support for monitoring and control of particulate systems and processes, including fouling detection and accurate quantitative estimates of particle shape and size distributions from in situ measurements.

Professional activities

Evaluation of methods for particle characterisation from in-line imaging and chord length distribution measurements: Contributor; 17/11/2022
Evaluation of methods for particle characterisation from in-line imaging and chord length distribution measurements: Contributor; 19/9/2022
Evaluation of Deep Learning methods for particle characterisation from in-line imaging and chord length distribution measurements: Contributor; 18/9/2022
Multi-sensor Measurements For Quantitative Particle Size And Concentration: Contributor; 20/2/2020
Integrated Filtration and Washing Modelling to Predict Continuous Isolation Performance.: Contributor; 2020
Multi-sensor in situ measurements of particle size, shape and concentration: Contributor; 2/10/2019

More professional activities

Projects

Sustainable Pharmaceutical Manufacturing: Computer aided solvent design to minimise solvent use across integrated synthesis, purification & isolation: Price, Chris John (Principal Investigator) Kerr, William (Co-investigator) Li, Jun (Co-investigator) Lindsay, David (Co-investigator) Sefcik, Jan (Co-investigator); 11-Jan-2022 - 10-Jan-2025
The birth of crystals: new understanding of nucleation by direct measurement: Haw, Mark (Principal Investigator) Lue, Leo (Co-investigator) Sefcik, Jan (Co-investigator); 01-Jan-2020 - 31-Jan-2023
Doctoral Training Partnership 2020-2021 University of Strathclyde | Anker, Samira: Johnston, Karen (Principal Investigator) Sefcik, Jan (Co-investigator) Anker, Samira (Research Co-investigator); 01-Jan-2020 - 01-Jan-2024
Catching nucleation in action using surface enhanced Raman spectroscopy: Johnston, Karen (Principal Investigator) Faulds, Karen (Co-investigator) Sefcik, Jan (Co-investigator); 01-Jan-2020 - 30-Jan-2023
Doctoral Training Partnership 2018-19 University of Strathclyde | Flannigan, James: Haw, Mark (Principal Investigator) Sefcik, Jan (Co-investigator) Flannigan, James (Research Co-investigator); 01-Jan-2019 - 01-Jan-2023
RI@S funded summer project: Johnston, Karen (Principal Investigator) Haw, Mark (Co-investigator) Sefcik, Jan (Co-investigator); RI@S funded summer project for Mohammad Talha Dar; 10-Jan-2019 - 05-Jan-2019

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Address

Chemical and Process Engineering
James Weir

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Professor Jan Sefcik

Head Of Department

Chemical and Process Engineering