Conference paper · Book chapter
Design of smart liquid-liquid extraction columns for downstream separations of biopharmaceuticals using deep Q-learning algorithm
KT Consortium, Department of Chemical and Biochemical Engineering, Technical University of Denmark1
PROSYS - Process and Systems Engineering Centre, Department of Chemical and Biochemical Engineering, Technical University of Denmark2
Department of Chemical and Biochemical Engineering, Technical University of Denmark3
We propose smart liquid-liquid extraction columns of biopharmaceuticals using deep Q-learning algorithm. In this contribution, we demonstrated the application of the tool for design of liquid-liquid extraction process for concentration of API from fermentation broth. To this end, we present the following;1) development of property model to describe solubility of API in different solvents using the nonrandom two-liquid segment activity coefficient model, 2) design the liquid-liquid extraction process for different solvent candidates commonly used in pharma industries, 3) application of deep Q-learning algorithm to optimize liquid-liquid extraction control, and 4) perform sensitivity analysis to study effect of feed fraction of API on the performance.
We have validated the developed property process modelling by comparing the existing experimental data and the characteristics of diverse solvents and using sensitivity analysis. We expect that the results from this study would contribute to further development the general framework of downstream separation for the future by extending to more downstream separation processes.
Language: | English |
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Publisher: | Elsevier |
Year: | 2019 |
Pages: | 271-276 |
Proceedings: | 29th European Symposium on Computer Aided Process Engineering |
Series: | Computer Aided Chemical Engineering |
ISBN: | 0128186348 , 0128186356 , 9780128186343 and 9780128186350 |
ISSN: | 15707946 |
Types: | Conference paper and Book chapter |
DOI: | 10.1016/B978-0-12-818634-3.50046-1 |
ORCIDs: | Hwangbo, Soonho , Öner, Merve and Sin, Gürkan |