Integrated use of mechanistic models and targeted experiments for development, scale-up and optimization of lyophilization cycles: A single vial approach for primary drying

被引:4
|
作者
Rajniak, Pavol [1 ,2 ]
Moreira, Joao [2 ]
Tsinontides, Stelios [3 ]
Pham, David [4 ]
Bermingham, Sean [2 ]
机构
[1] Slovak Tech Univ, Dept Chem & Environm Engn, Bratislava 81237, Slovakia
[2] Proc Syst Enterprise Ltd, London, England
[3] US FDA, Off Pharmaceut Mfg, OPQ, CDER, Silver Spring, MD USA
[4] Merck & Co Inc, West Point, PA USA
关键词
Freeze drying; lyophilization; mathematical modeling; scale-up; optimization; DYNAMIC DESIGN SPACE; UNCERTAINTY ANALYSIS; SUBLIMATION MODEL; PRESSURE RISE; HEAT-TRANSFER; FREEZE; PHARMACEUTICALS; TEMPERATURE; QUALITY; CHAMBER;
D O I
10.1080/07373937.2020.1791901
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Development of lyophilization cycles, tech transfer and scale-up of the cycles, particularly of the primary drying, are common and challenging tasks for engineers in pharmaceutical companies. In this manuscript we share our experience with the scale-up of a previously tested cycle from pilot scale to production scale and then with optimization of the primary drying. We describe a workflow for a straightforward sequential and unbiased calculation of the mathematical model adjustable parameters: heat transfer coefficients and average radii of the pores (mass transfer coefficients). The calibrated model for the pilot scale can be then used for simulations of different scenarios at this scale, and for scale-up of the cycle to production scale. In production scale it is recommended to run water sublimation studies, to determine the heat transfer coefficients at this scale. The average radii of pores determined at the pilot scale can be used at the production scale. The calibrated model for the production scale can then be used to arrive at an optimum and robust lyo cycle at production. The final example of the case study illustrates the use of the developed model and software for primary drying optimization (shortening) by initially running it at a higher temperature. In summary, it can be concluded that the developed mathematical models, targeted experiments, and proposed workflow can significantly accelerate development, tech transfer and optimization of the primary drying.
引用
收藏
页码:310 / 325
页数:16
相关论文
共 2 条
  • [1] A Software Tool for Lyophilization Primary Drying Process Development and Scale-up Including Process Heterogeneity, I: Laboratory-Scale Model Testing
    Bogner, Robin
    Gong, Emily
    Kessler, William
    Hinds, Michael
    Manchanda, Arushi
    Yoon, Seongkyu
    Liu, Huolong
    Marx, Richard
    Zhao, Jessie
    Sharma, Puneet
    Bhambhani, Akhilesh
    Stanbro, Justin
    Alexeenko, Alina
    Kazarin, Petr
    AAPS PHARMSCITECH, 2021, 22 (08)
  • [2] A Software Tool for Lyophilization Primary Drying Process Development and Scale-up Including Process Heterogeneity, I: Laboratory-Scale Model Testing
    Robin Bogner
    Emily Gong
    William Kessler
    Michael Hinds
    Arushi Manchanda
    Seongkyu Yoon
    Huolong Liu
    Richard Marx
    Jessie Zhao
    Puneet Sharma
    Akhilesh Bhambhani
    Justin Stanbro
    Alina Alexeenko
    Petr Kazarin
    AAPS PharmSciTech, 22