Recommended Best Practices for Lyophilization Validation-2021 Part I: Process Design and Modeling

被引:11
|
作者
Jameel, Feroz [1 ]
Alexeenko, Alina [2 ]
Bhambhani, Akhilesh [10 ]
Sacha, Gregory [4 ]
Zhu, Tong [1 ]
Tchessalov, Serguei [5 ]
Kumar, Lokesh [6 ]
Sharma, Puneet [6 ]
Moussa, Ehab [1 ]
Iyer, Lavanya [7 ]
Fang, Rui [3 ,9 ]
Srinivasan, Jayasree [4 ]
Tharp, Ted [1 ]
Azzarella, Joseph [8 ]
Kazarin, Petr [2 ]
Jalal, Mehfouz [2 ]
机构
[1] AbbVie, N Chicago, IL 60064 USA
[2] Purdue Univ, Birck Nanotechnol Ctr, 1205 W State St, W Lafayette, IN 47907 USA
[3] Merck, West Point, PA USA
[4] Baxter Hlthcare, Bloomington, IN USA
[5] Pfizer, Andover, MA USA
[6] Genentech Inc, San Francisco, CA USA
[7] BMS, New Brunswick, NJ USA
[8] Fresenius Kabi, Buffalo, NY USA
[9] Merck, Kenilworth, NJ USA
[10] Ultragenyx Pharmaceut Inc, Brisbane, CA USA
关键词
freeze-drying; lyophilization; process design; process optimization; controlled ice nucleation technology (CIN); CONTROLLED ICE NUCLEATION; MASS-TRANSFER RESISTANCE; PROTEIN FORMULATIONS; PROCESS PERFORMANCE; PHARMACEUTICALS; TEMPERATURE; LAYER; TECHNOLOGY; STABILITY; IMPACT;
D O I
10.1208/s12249-021-02086-8
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
This work describes lyophilization process validation and consists of two parts. Part I focuses on the process design and is described in the current paper, while part II is devoted to process qualification and continued process verification. The intent of these articles is to provide readers with recent updates on lyophilization validation in the light of community-based combined opinion on the process and reflect the industrial prospective. In this paper, the design space approach for process design is described in details, and examples from practice are provided. The approach shows the relationship between the process inputs; it is based on first principles and gives a thorough scientific understanding of process and product. The lyophilization process modeling and scale-up are also presented showing the impact of facility, equipment, and vial heat transfer coefficient. The case studies demonstrating the effect of batch sizes, fill volume, and dose strength to show the importance of modeling as well as the effect of controlled nucleation on product resistance are discussed.
引用
收藏
页数:18
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