Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling
Abstract Lyophilization, or freeze-drying, is a widespread process for stabilizing (bio)pharmaceutical products. The primary drying phase is resource-intensive, making its optimization a focal point for improving economic and environmental sustainability. Mechanistic modeling of the primary drying p...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-06-01
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| Series: | AAPS Open |
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| Online Access: | https://doi.org/10.1186/s41120-025-00115-5 |
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| author | Brecht Vanbillemont Andrea Arsiccio Tim Menzen Andrea Hawe |
| author_facet | Brecht Vanbillemont Andrea Arsiccio Tim Menzen Andrea Hawe |
| author_sort | Brecht Vanbillemont |
| collection | DOAJ |
| description | Abstract Lyophilization, or freeze-drying, is a widespread process for stabilizing (bio)pharmaceutical products. The primary drying phase is resource-intensive, making its optimization a focal point for improving economic and environmental sustainability. Mechanistic modeling of the primary drying phase has emerged as a key tool for designing robust processes, identifying optimal critical process parameters, and minimizing failure modes such as product collapse, uncontrolled pressure increase, or incomplete sublimation. This study extended the traditional modeling frameworks by incorporating an uncertainty analysis to account for process variability originating from process parameters and material attributes. Model validation and verification activities were performed to establish model credibility. The ensuing risk assessment quantified the failure mode probabilities. This methodology was capable of ensuring process robustness at a pilot scale freeze-dryer by construction of a regulatory compliant design space and the establishment of proven acceptable ranges. An iterative approach to collect process knowledge was conducted by updating the dried layer resistance estimates while verifying the design space. The transfer of the normal operating ranges to a commercial scale freeze-dryer was assisted by the model and was experimentally verified. Experimental results confirmed the model’s capability to predict process parameter combinations yielding acceptable critical quality attributes while minimizing process time. The model provides a scientific rationale for process parameters selection and can support in the process optimization, robustness assessment and process transfer activities necessary for a regulatory submission. Graphical Abstract |
| format | Article |
| id | doaj-art-d925cf56fd9946209a29cd2728ca6045 |
| institution | OA Journals |
| issn | 2364-9534 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | AAPS Open |
| spelling | doaj-art-d925cf56fd9946209a29cd2728ca60452025-08-20T02:37:33ZengSpringerOpenAAPS Open2364-95342025-06-0111112010.1186/s41120-025-00115-5Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modelingBrecht Vanbillemont0Andrea Arsiccio1Tim Menzen2Andrea Hawe3Coriolis Pharma Research GmbHCoriolis Pharma Research GmbHCoriolis Pharma Research GmbHCoriolis Pharma Research GmbHAbstract Lyophilization, or freeze-drying, is a widespread process for stabilizing (bio)pharmaceutical products. The primary drying phase is resource-intensive, making its optimization a focal point for improving economic and environmental sustainability. Mechanistic modeling of the primary drying phase has emerged as a key tool for designing robust processes, identifying optimal critical process parameters, and minimizing failure modes such as product collapse, uncontrolled pressure increase, or incomplete sublimation. This study extended the traditional modeling frameworks by incorporating an uncertainty analysis to account for process variability originating from process parameters and material attributes. Model validation and verification activities were performed to establish model credibility. The ensuing risk assessment quantified the failure mode probabilities. This methodology was capable of ensuring process robustness at a pilot scale freeze-dryer by construction of a regulatory compliant design space and the establishment of proven acceptable ranges. An iterative approach to collect process knowledge was conducted by updating the dried layer resistance estimates while verifying the design space. The transfer of the normal operating ranges to a commercial scale freeze-dryer was assisted by the model and was experimentally verified. Experimental results confirmed the model’s capability to predict process parameter combinations yielding acceptable critical quality attributes while minimizing process time. The model provides a scientific rationale for process parameters selection and can support in the process optimization, robustness assessment and process transfer activities necessary for a regulatory submission. Graphical Abstracthttps://doi.org/10.1186/s41120-025-00115-5BiopharmaceuticalsLyophilizationProcess transferProcess robustnessMechanistic modellingProcess optimization |
| spellingShingle | Brecht Vanbillemont Andrea Arsiccio Tim Menzen Andrea Hawe Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling AAPS Open Biopharmaceuticals Lyophilization Process transfer Process robustness Mechanistic modelling Process optimization |
| title | Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling |
| title_full | Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling |
| title_fullStr | Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling |
| title_full_unstemmed | Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling |
| title_short | Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling |
| title_sort | optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling |
| topic | Biopharmaceuticals Lyophilization Process transfer Process robustness Mechanistic modelling Process optimization |
| url | https://doi.org/10.1186/s41120-025-00115-5 |
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