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Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification
This work describes the lyophilization process validation and consists of two parts. Part one (Part I: Process Design and Modeling) focuses on the process design and is described in the previous paper, while the current paper is devoted to process qualification and continued process verification. Th...
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/PMC8575750/ https://www.ncbi.nlm.nih.gov/pubmed/34750693 http://dx.doi.org/10.1208/s12249-021-02107-6 |
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author | 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 |
author_facet | 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 |
author_sort | Jameel, Feroz |
collection | PubMed |
description | This work describes the lyophilization process validation and consists of two parts. Part one (Part I: Process Design and Modeling) focuses on the process design and is described in the previous paper, while the current paper is devoted to process qualification and continued process verification. The goal of the study is to show the cutting edge of lyophilization validation based on the integrated community-based opinion and the industrial perspective. This study presents best practices for batch size determination and includes the effect of batch size on drying time, process parameters selection strategies, and batch size overage to compensate for losses during production. It also includes sampling strategies to demonstrate batch uniformity as well as the use of statistical models to ensure adequate sampling. Based on the LyoHUB member organizations survey, the best practices in determining the number of PPQ runs are developed including the bracketing approach with minimum and maximum loads. Standard practice around CQA and CPP selection is outlined and shows the advantages of using control charts and run charts for process trending and quality control. The case studies demonstrating the validation strategy for monoclonal antibody and the impact of the loading process on the lyophilization cycle and product quality as well as the special case of lyophilization for dual-chamber cartridge system are chosen to illustrate the process validation. The standard practices in the validation of the lyophilization process, special lyophilization processes, and their impact on the validation strategy are discussed. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-8575750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-85757502021-11-15 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 Research Article This work describes the lyophilization process validation and consists of two parts. Part one (Part I: Process Design and Modeling) focuses on the process design and is described in the previous paper, while the current paper is devoted to process qualification and continued process verification. The goal of the study is to show the cutting edge of lyophilization validation based on the integrated community-based opinion and the industrial perspective. This study presents best practices for batch size determination and includes the effect of batch size on drying time, process parameters selection strategies, and batch size overage to compensate for losses during production. It also includes sampling strategies to demonstrate batch uniformity as well as the use of statistical models to ensure adequate sampling. Based on the LyoHUB member organizations survey, the best practices in determining the number of PPQ runs are developed including the bracketing approach with minimum and maximum loads. Standard practice around CQA and CPP selection is outlined and shows the advantages of using control charts and run charts for process trending and quality control. The case studies demonstrating the validation strategy for monoclonal antibody and the impact of the loading process on the lyophilization cycle and product quality as well as the special case of lyophilization for dual-chamber cartridge system are chosen to illustrate the process validation. The standard practices in the validation of the lyophilization process, special lyophilization processes, and their impact on the validation strategy are discussed. GRAPHICAL ABSTRACT: [Image: see text] Springer International Publishing 2021-11-08 /pmc/articles/PMC8575750/ /pubmed/34750693 http://dx.doi.org/10.1208/s12249-021-02107-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Sharma, Puneet Moussa, Ehab Iyer, Lavanya Luthra, Sumit Srinivasan, Jayasree Tharp, Ted Azzarella, Joseph Kazarin, Petr Jalal, Mehfouz Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification |
title | Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification |
title_full | Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification |
title_fullStr | Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification |
title_full_unstemmed | Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification |
title_short | Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification |
title_sort | recommended best practices for lyophilization validation 2021 part ii: process qualification and continued process verification |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575750/ https://www.ncbi.nlm.nih.gov/pubmed/34750693 http://dx.doi.org/10.1208/s12249-021-02107-6 |
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