Digital design of an integrated purification system for continuous pharmaceutical manufacturing

In this work dynamic models of the continuous crystallization, filtration, deliquoring, washing, and drying steps are introduced, which are developed in the open-source pharmaceutical modeling tool PharmaPy. These models enable the simulation and digital design of an integrated continuous two-stage...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Chemical engineering science. - 1998. - 285(2024) vom: 05. März
1. Verfasser: Hur, Inyoung (VerfasserIn)
Weitere Verfasser: Casas-Orozco, Daniel, Laky, Daniel, Destro, Francesco, Nagy, Zoltan K
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Chemical engineering science
Schlagworte:Journal Article Continuous Drug Purification Dynamic Flowsheet Simulation Process Design & Development Process Intensification
Beschreibung
Zusammenfassung:In this work dynamic models of the continuous crystallization, filtration, deliquoring, washing, and drying steps are introduced, which are developed in the open-source pharmaceutical modeling tool PharmaPy. These models enable the simulation and digital design of an integrated continuous two-stage crystallization and filtration-drying carousel system. The carousel offers an intensified process that can manufacture products with tailored properties through optimal design and control. Results show that improved crystallization design enhances overall process efficiency by improving critical material attributes of the crystal slurry for downstream filtration and drying operations. The digital design of the integrated process achieves enhanced productivity while satisfying multiple design and product quality constraints. Additionally, the impact of model uncertainty on the optimal operating conditions is investigated. The findings demonstrate the systematic process development potential of PharmaPy, providing improved process understanding, design space identification, and optimized robust operation
Beschreibung:Date Revised 08.07.2024
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:0009-2509
DOI:10.1016/j.ces.2023.119534