Zizhuo Xing , Gearóid Duane , Josiah O’Sullivan , Cynthia Chelius , Laura Smith , Michael C. Borys , Anurag Khetan
{"title":"验证大规模细胞培养生物反应器的 CFD 模型及其在放大中的应用","authors":"Zizhuo Xing , Gearóid Duane , Josiah O’Sullivan , Cynthia Chelius , Laura Smith , Michael C. Borys , Anurag Khetan","doi":"10.1016/j.jbiotec.2024.02.006","DOIUrl":null,"url":null,"abstract":"<div><p>Among all the operating parameters that control the cell culture environment inside bioreactors, appropriate mixing and aeration are crucial to ensure sufficient oxygen supply, homogeneous mixing, and CO<sub>2</sub> stripping. A model-based manufacturing facility fit approach was applied to define agitation and bottom air flow rates during the process scale-up from laboratory to manufacturing, of which computational fluid dynamics (CFD) was the core modeling tool. The realizable <em>k</em>-ε turbulent dispersed Eulerian gas-liquid flow model was established and validated using experimental values for the volumetric oxygen transfer coefficient (<em>k</em><sub><em>L</em></sub><em>a</em>). Model validation defined the process operating parameter ranges for application of the model, identified mixing issues (e.g., impeller flooding, dissolved oxygen gradients, etc.) and the impact of antifoam on <em>k</em><sub><em>L</em></sub><em>a</em>. Using the CFD simulation results as inputs to the models for oxygen demand, gas entrance velocity, and CO<sub>2</sub> stripping aided in the design of the agitation and bottom air flow rates needed to meet cellular oxygen demand, control CO<sub>2</sub> levels, mitigate risks for cell damage due to shear, foaming, as well as fire hazards due to high O<sub>2</sub> levels in the bioreactor gas outlet. The recommended operating conditions led to the completion of five manufacturing runs with a 100% success rate. This model-based approach achieved a seamless scale-up and reduced the required number of at-scale development batches, resulting in cost and time savings of a cell culture commercialization process.</p></div>","PeriodicalId":15153,"journal":{"name":"Journal of biotechnology","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation of a CFD model for cell culture bioreactors at large scale and its application in scale-up\",\"authors\":\"Zizhuo Xing , Gearóid Duane , Josiah O’Sullivan , Cynthia Chelius , Laura Smith , Michael C. Borys , Anurag Khetan\",\"doi\":\"10.1016/j.jbiotec.2024.02.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Among all the operating parameters that control the cell culture environment inside bioreactors, appropriate mixing and aeration are crucial to ensure sufficient oxygen supply, homogeneous mixing, and CO<sub>2</sub> stripping. A model-based manufacturing facility fit approach was applied to define agitation and bottom air flow rates during the process scale-up from laboratory to manufacturing, of which computational fluid dynamics (CFD) was the core modeling tool. The realizable <em>k</em>-ε turbulent dispersed Eulerian gas-liquid flow model was established and validated using experimental values for the volumetric oxygen transfer coefficient (<em>k</em><sub><em>L</em></sub><em>a</em>). Model validation defined the process operating parameter ranges for application of the model, identified mixing issues (e.g., impeller flooding, dissolved oxygen gradients, etc.) and the impact of antifoam on <em>k</em><sub><em>L</em></sub><em>a</em>. Using the CFD simulation results as inputs to the models for oxygen demand, gas entrance velocity, and CO<sub>2</sub> stripping aided in the design of the agitation and bottom air flow rates needed to meet cellular oxygen demand, control CO<sub>2</sub> levels, mitigate risks for cell damage due to shear, foaming, as well as fire hazards due to high O<sub>2</sub> levels in the bioreactor gas outlet. The recommended operating conditions led to the completion of five manufacturing runs with a 100% success rate. This model-based approach achieved a seamless scale-up and reduced the required number of at-scale development batches, resulting in cost and time savings of a cell culture commercialization process.</p></div>\",\"PeriodicalId\":15153,\"journal\":{\"name\":\"Journal of biotechnology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of biotechnology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S016816562400049X\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biotechnology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016816562400049X","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Validation of a CFD model for cell culture bioreactors at large scale and its application in scale-up
Among all the operating parameters that control the cell culture environment inside bioreactors, appropriate mixing and aeration are crucial to ensure sufficient oxygen supply, homogeneous mixing, and CO2 stripping. A model-based manufacturing facility fit approach was applied to define agitation and bottom air flow rates during the process scale-up from laboratory to manufacturing, of which computational fluid dynamics (CFD) was the core modeling tool. The realizable k-ε turbulent dispersed Eulerian gas-liquid flow model was established and validated using experimental values for the volumetric oxygen transfer coefficient (kLa). Model validation defined the process operating parameter ranges for application of the model, identified mixing issues (e.g., impeller flooding, dissolved oxygen gradients, etc.) and the impact of antifoam on kLa. Using the CFD simulation results as inputs to the models for oxygen demand, gas entrance velocity, and CO2 stripping aided in the design of the agitation and bottom air flow rates needed to meet cellular oxygen demand, control CO2 levels, mitigate risks for cell damage due to shear, foaming, as well as fire hazards due to high O2 levels in the bioreactor gas outlet. The recommended operating conditions led to the completion of five manufacturing runs with a 100% success rate. This model-based approach achieved a seamless scale-up and reduced the required number of at-scale development batches, resulting in cost and time savings of a cell culture commercialization process.
期刊介绍:
The Journal of Biotechnology has an open access mirror journal, the Journal of Biotechnology: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
The Journal provides a medium for the rapid publication of both full-length articles and short communications on novel and innovative aspects of biotechnology. The Journal will accept papers ranging from genetic or molecular biological positions to those covering biochemical, chemical or bioprocess engineering aspects as well as computer application of new software concepts, provided that in each case the material is directly relevant to biotechnological systems. Papers presenting information of a multidisciplinary nature that would not be suitable for publication in a journal devoted to a single discipline, are particularly welcome.