Projects per year
Abstract
Selecting suitable solvents for the crystallisation of pharmaceuticals can be a challenging task, given the vast number of solvents that we can choose from. To simplify this problem, we can use principles from solid-liquid equilibria (SLE) alongside established thermodynamic models to identify promising candidates prior to conducting experiments. This study addresses the batch cooling crystallisation of flurbiprofen – a non-steroidal anti-inflammatory drug (NSAID) used to treat arthritis – using a simple model framework implemented within MATLAB. The Apelblat equation is employed to describe the thermophysical behaviour of flurbiprofen over a wide temperature range (283.15–323.15 K) in twelve (12) solvents: three alkanes (n-hexane, n-heptane, n-octane); two (isopropyl, methyl-tert-butyl) ethers; five alcohols (n-propanol, isopropanol, n-butanol, isobutanol, isopentanol); an ester (isopropyl acetate); and a nitrile (acetonitrile). Moreover, we have used green metrics (E-factor, Scope 1 and 2 carbon emissions) with established process economics models to determine the most promising solvent (n-propanol) for an environmentally friendly and economical manufacturing process.
| Original language | English |
|---|---|
| Article number | 109116 |
| Journal | Computers and Chemical Engineering |
| Volume | 199 |
| Early online date | 27 Mar 2025 |
| DOIs | |
| Publication status | Published - Aug 2025 |
Keywords / Materials (for Non-textual outputs)
- Batch crystallisation
- Flurbiprofen
- Optimisation
- Pharmaceutical manufacturing
- Process modelling
- Solvent selection
- Technoeconomic evaluation
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Dive into the research topics of 'Solvent Selection, Sustainability Analysis & Technoeconomic Evaluation and Optimisation of Batch Cooling Crystallisation Processes for Flurbiprofen Production'. Together they form a unique fingerprint.Projects
- 3 Finished
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Technoeconomically Optimal & Environmentally Benign Pharmaceutical Manufacturing at High Process Mass Intensity (PMI)
Gerogiorgis, D. (Principal Investigator)
UK industry, commerce and public corporations
1/09/21 → 31/08/25
Project: Research
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RAPID: ReAl-time Process ModellIng and Diagnostics: Powering Digital Factories
Polydorides, N. (Principal Investigator) & Gerogiorgis, D. (Co-investigator)
Engineering and Physical Sciences Research Council
1/08/21 → 20/11/25
Project: Research
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A Digital Twin via First-Principles Modelling and Data Analytics for Process Optimisation in Pharmaceutical Manufacturing
Gerogiorgis, D. (Principal Investigator)
1/10/20 → 31/01/22
Project: Research