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
相关论文
共 50 条
  • [1] Recommended Best Practices for Lyophilization Validation-2021 Part I: Process Design and Modeling (vol 22, 221, 2021)
    Jameel, Feroz
    Alexeenko, Alina
    Bhambhani, Akhilesh
    Sacha, Gregory
    Zhu, Tong
    Tchessalov, Serguei
    Kumar, Lokesh
    Sharma, Puneet
    Moussa, Ehab
    Iyer, Lavanya
    Fang, Rui
    Srinivasan, Jayasree
    Tharp, Ted
    Azzarella, Joseph
    Kazarin, Petr
    Jalal, Mehfouz
    AAPS PHARMSCITECH, 2021, 22 (08)
  • [2] Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling
    Feroz Jameel
    Alina Alexeenko
    Akhilesh Bhambhani
    Gregory Sacha
    Tong Zhu
    Serguei Tchessalov
    Lokesh Kumar
    Puneet Sharma
    Ehab Moussa
    Lavanya Iyer
    Rui Fang
    Jayasree Srinivasan
    Ted Tharp
    Joseph Azzarella
    Petr Kazarin
    Mehfouz Jalal
    AAPS PharmSciTech, 22
  • [3] Correction to: Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling
    Feroz Jameel
    Alina Alexeenko
    Akhilesh Bhambhani
    Gregory Sacha
    Tong Zhu
    Serguei Tchessalov
    Lokesh Kumar
    Puneet Sharma
    Ehab Moussa
    Lavanya Iyer
    Rui Fang
    Jayasree Srinivasan
    Ted Tharp
    Joseph Azzarella
    Petr Kazarin
    Mehfouz Jalal
    AAPS PharmSciTech, 22
  • [4] Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification
    Jameel, Feroz
    Alexeenko, Alina
    Bhambhani, Akhilesh
    Sacha, Gregory
    Zhu, Tong
    Tchessalov, Serguei
    Sharma, Puneet
    Moussa, Ehab
    Iyer, Lavanya
    Luthra, Sumit
    Srinivasan, Jayasree
    Tharp, Ted
    Azzarella, Joseph
    Kazarin, Petr
    Jalal, Mehfouz
    AAPS PHARMSCITECH, 2021, 22 (08)
  • [5] Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification
    Feroz Jameel
    Alina Alexeenko
    Akhilesh Bhambhani
    Gregory Sacha
    Tong Zhu
    Serguei Tchessalov
    Puneet Sharma
    Ehab Moussa
    Lavanya Iyer
    Sumit Luthra
    Jayasree Srinivasan
    Ted Tharp
    Joseph Azzarella
    Petr Kazarin
    Mehfouz Jalal
    AAPS PharmSciTech, 22
  • [6] Best Practices for Requirements Validation Process
    Santana, Sonia R.
    Antonelli, Leandro R.
    Thomas, Pablo J.
    COMPUTER SCIENCE, CACIC 2021, 2022, 1584 : 139 - 156
  • [7] Design Space Development for Lyophilization Using DOE and Process Modeling
    Sundaram, Jagannathan
    Shay, Yun-Hua Max
    Hsu, Chung C.
    Sane, Samir U.
    BIOPHARM INTERNATIONAL, 2010, 23 (09) : 26 - +
  • [8] Industrial best practices of conceptual process design
    Harmsen, GJ
    CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2004, 43 (05) : 671 - 675
  • [9] Recommended Best Practices for Process Monitoring Instrumentation in Pharmaceutical Freeze Drying—2017
    Steven Nail
    Serguei Tchessalov
    Evgenyi Shalaev
    Arnab Ganguly
    Ernesto Renzi
    Frank Dimarco
    Lindsay Wegiel
    Steven Ferris
    William Kessler
    Michael Pikal
    Greg Sacha
    Alina Alexeenko
    T. N. Thompson
    Cindy Reiter
    James Searles
    Paul Coiteux
    AAPS PharmSciTech, 2017, 18 : 2379 - 2393
  • [10] Software engineering best practices applied to the modeling process
    Withers, DH
    PROCEEDINGS OF THE 2000 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, 2000, : 432 - 439