Abstract
Ampicillin is a key β-lactam antibiotic listed as a World Health Organisation (WHO) Essential Medicine. Crystallisation is a unit operation of paramount importance in pharmaceutical manufacturing, whose design and operation are essential in controlling process yield and important product quality attributes, such as mean product crystal size (MCS) and size distribution width. A published model for the solubility of ampicillin as a function of pH as well as growth and nucleation kinetics is used towards the simulation and optimisation of its batch crystallisation. This study performs multi-objective dynamic optimisation of the batch crystallisation of ampicillin to establish optimal pH trajectories for different production objectives, including maximising the mean crystal size whilst minimising the size distribution width subject to various yield constraints. Trade-offs between different product quality attributes are thus quantified, visualised and discussed.
Original language | English |
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Title of host publication | Computer Aided Chemical Engineering |
Subtitle of host publication | 30th European Symposium on Computer Aided Process Engineering |
Editors | Sauro Pierucci, Flavio Manenti, Giulia Luisa Bozzano, Davide Manca |
Publisher | Elsevier |
Pages | 433-438 |
Number of pages | 6 |
Volume | 48 |
ISBN (Print) | 1570-7946 |
DOIs | |
Publication status | Published - 19 Oct 2020 |
Event | 30th European Symposium on Computer Aided Process Engineering - Online, Milan, Italy Duration: 31 Aug 2020 → 2 Sep 2020 https://www.aidic.it/escape30/enter.php |
Publication series
Name | Computer Aided Chemical Engineering |
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Publisher | Elsevier |
Volume | 48 |
ISSN (Print) | 1570-7946 |
Conference
Conference | 30th European Symposium on Computer Aided Process Engineering |
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Abbreviated title | ESCAPE 30 |
Country/Territory | Italy |
City | Milan |
Period | 31/08/20 → 2/09/20 |
Internet address |
Keywords
- Multi-objective dynamic optimisation
- batch crystallisation
- ampicillin