Digital design of an integrated purification system for continuous pharmaceutical manufacturing
被引:4
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作者:
Hur, Inyoung
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机构:
Purdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USAPurdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USA
Hur, Inyoung
[1
]
Casas-Orozco, Daniel
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机构:
Purdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USAPurdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USA
Casas-Orozco, Daniel
[1
]
Laky, Daniel J.
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机构:
Purdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USAPurdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USA
Laky, Daniel J.
[1
]
Destro, Francesco
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机构:
Purdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USA
MIT, Dept Chem Engn, Cambridge, MA 02139 USAPurdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USA
Destro, Francesco
[1
,2
]
论文数: 引用数:
h-index:
机构:
Nagy, Zoltan K.
[1
]
机构:
[1] Purdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USA
Process Design & Development;
Continuous Drug Purification;
Process Intensification;
Dynamic Flowsheet Simulation;
PARTICLE-SIZE;
CRYSTALLIZATION PROCESSES;
CAKE RESISTANCE;
MODEL;
OPTIMIZATION;
FLOWSHEET;
OPERATION;
SIMULATION;
FILTRATION;
POROSITY;
D O I:
10.1016/j.ces.2023.119534
中图分类号:
TQ [化学工业];
学科分类号:
0817 ;
摘要:
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 filtrationdrying 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.