Literature DB >> 29733948

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

Tong Zhu1, Ehab M Moussa2, Madeleine Witting3, Deliang Zhou4, Kushal Sinha5, Mario Hirth3, Martin Gastens2, Sherwin Shang4, Nandkishor Nere5, Shubha Chetan Somashekar5, Alina Alexeenko1, Feroz Jameel6.   

Abstract

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. Published by Elsevier B.V.

Entities:  

Keywords:  Computational fluid dynamics; Design space; Freeze-drying; Heat and mass transfer; Lyophilization; Modeling; Process scale-up

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Year:  2018        PMID: 29733948     DOI: 10.1016/j.ejpb.2018.05.005

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  2 in total

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

Authors:  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
Journal:  AAPS PharmSciTech       Date:  2021-08-18       Impact factor: 3.246

2.  LyoPRONTO: an Open-Source Lyophilization Process Optimization Tool.

Authors:  Gayathri Shivkumar; Petr S Kazarin; Andrew D Strongrich; Alina A Alexeenko
Journal:  AAPS PharmSciTech       Date:  2019-10-31       Impact factor: 3.246

  2 in total

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