Projects per year
Abstract / Description of output
Continuous pharmaceutical manufacturing (CPM) has the potential to revolutionise the production of active pharmaceutical ingredients (APIs), offering operational and economic benefits over the currently dominant batch methods implemented by industry. Atropine is a nerve agent API, whose demonstrated continuous flow synthesis facilitates process modelling and optimisation. This work implements MINLP optimisation for total cost minimisation of the upstream CPM of atropine for rapid process synthesis. The process model considers reactor design from regressed reaction kinetic parameters, solute partitioning between LLE phases for different solvent systems, UNIFAC-modelled ternary liquid-liquid equilibria and mass transfer correlations for continuous LLE design. Optimisation results indicate toluene as the best (cost optimal) LLE solvent choice. This work demonstrates the utility of the described methodology for rapid process synthesis and comparative technoeconomic evaluation in early CPM process development stages.
Original language | English |
---|---|
Title of host publication | 29th European Symposium on Computer Aided Process Engineering |
Editors | Anton A. Kiss, Edwin Zondervan, Richard Lakerveld, Leyla Özkan |
Publisher | Elsevier |
Pages | 211-216 |
Number of pages | 6 |
Volume | 46 |
ISBN (Electronic) | 978-0-12-819939-8 |
DOIs | |
Publication status | E-pub ahead of print - 25 Jul 2019 |
Publication series
Name | Computer Aided Chemical Engineering |
---|---|
Volume | 46 |
ISSN (Print) | 1570-7946 |
Keywords / Materials (for Non-textual outputs)
- Atropine
- Continuous pharmaceutical manufacturing (CPM)
- Economic analysis
- MINLP
- Superstructure
Fingerprint
Dive into the research topics of 'Technoeconomic MINLP Optimisation of Liquid-Liquid Extraction (LLE) Cascades for Continuous Pharmaceutical Manufacturing (CPM) of Atropine'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Data Analytics for High-Performance Multiobjective Beer Fermentation and Filtration Optimisation
1/09/17 → 31/10/18
Project: Research