Multi-objective Dynamic Optimisation of Ampicillin Batch Crystallisation

Antonios Dafnomilis, Samir Diab, Alistair D. Rodman, Andreas G. Boudouvis, Dimitrios I. Gerogiorgis

Research output: Chapter in Book/Report/Conference proceedingChapter


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 languageEnglish
Title of host publicationComputer Aided Chemical Engineering
Subtitle of host publication30th European Symposium on Computer Aided Process Engineering
EditorsSauro Pierucci, Flavio Manenti, Giulia Luisa Bozzano, Davide Manca
Number of pages6
ISBN (Print)1570-7946
Publication statusPublished - 19 Oct 2020
Event30th European Symposium on Computer Aided Process Engineering - Online, Milan, Italy
Duration: 31 Aug 20202 Sep 2020

Publication series

NameComputer Aided Chemical Engineering
ISSN (Print)1570-7946


Conference30th European Symposium on Computer Aided Process Engineering
Abbreviated titleESCAPE 30
Internet address


  • Multi-objective dynamic optimisation
  • batch crystallisation
  • ampicillin


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