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Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling
ABSTRACT: 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 read...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373746/ https://www.ncbi.nlm.nih.gov/pubmed/34409506 http://dx.doi.org/10.1208/s12249-021-02086-8 |
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author | 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 |
author_facet | 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 |
author_sort | Jameel, Feroz |
collection | PubMed |
description | ABSTRACT: 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. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-8373746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-83737462021-09-15 Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling 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 Research Article ABSTRACT: 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. GRAPHICAL ABSTRACT: [Image: see text] Springer International Publishing 2021-08-18 /pmc/articles/PMC8373746/ /pubmed/34409506 http://dx.doi.org/10.1208/s12249-021-02086-8 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article 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 Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling |
title | Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling |
title_full | Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling |
title_fullStr | Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling |
title_full_unstemmed | Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling |
title_short | Recommended Best Practices for Lyophilization Validation—2021 Part I: Process Design and Modeling |
title_sort | recommended best practices for lyophilization validation—2021 part i: process design and modeling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373746/ https://www.ncbi.nlm.nih.gov/pubmed/34409506 http://dx.doi.org/10.1208/s12249-021-02086-8 |
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