Predictive models of lyophilization process for development, scale-up/tech transfer and manufacturing

被引:35
作者
Zhu, Tong [1 ]
Moussa, Ehab M. [2 ]
Witting, Madeleine [3 ]
Zhou, Deliang [4 ]
Sinha, Kushal [5 ]
Hirth, Mario [3 ]
Gastens, Martin [2 ]
Shang, Sherwin [4 ]
Nere, Nandkishor [5 ]
Somashekar, Shubha Chetan [5 ]
Alexeenko, Alina [1 ]
Jameel, Feroz [2 ]
机构
[1] Purdue Univ, Sch Aeronaut & Astronaut, W Lafayette, IN 47907 USA
[2] AbbVie Inc, Drug Prod Dev, 1 N Waukegan Rd, N Chicago, IL 60064 USA
[3] AbbVie Inc, Drug Prod Dev, Ludwigshafen, Germany
[4] AbbVie Inc, Sci & Technol, N Chicago, IL 60064 USA
[5] AbbVie Inc, Proc Res & Dev, N Chicago, IL 60064 USA
关键词
Freeze-drying; Lyophilization; Heat and mass transfer; Computational fluid dynamics; Modeling; Process scale-up; Design space; FREEZE-DRYING PROCESS; RAPID-DETERMINATION; HEAT-TRANSFER; PRESSURE; DESIGN; POINT; MASS;
D O I
10.1016/j.ejpb.2018.05.005
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Scale-up and technology transfer of lyophilization processes remains a challenge that requires thorough characterization of the laboratory and larger scale lyophilizers. In this study, computational fluid dynamics (CFD) was employed to develop computer-based models of both laboratory and manufacturing scale lyophilizers in order to understand the differences in equipment performance arising from distinct designs. CFD coupled with steady state heat and mass transfer modeling of the vial were then utilized to study and predict independent variables such as shelf temperature and chamber pressure, and response variables such as product resistance, product temperature and primary drying time for a given formulation. The models were then verified experimentally for the different lyophilizers. Additionally, the models were applied to create and evaluate a design space for a lyophilized product in order to provide justification for the flexibility to operate within a certain range of process parameters without the need for validation.
引用
收藏
页码:363 / 378
页数:16
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