Vasiliy N. Goral, Yulong Hong, Jeffery J. Scibek, Yujian Sun, Lori E. Romeo, Abhijit Rao, Daniel Manning, Yue Zhou, Joel A. Schultes, Vinalia Tjong, Dragan Pikula, Kathleen A. Krebs, Ann M. Ferrie, Stefan Kramel, Jennifer L. Weber, Todd M. Upton, Ye Fang, Zara Melkoumian
{"title":"创新的固定床生物反应器平台:通过营养消耗实时预测生物量,实现线性可扩展的粘附细胞生物制造。","authors":"Vasiliy N. Goral, Yulong Hong, Jeffery J. Scibek, Yujian Sun, Lori E. Romeo, Abhijit Rao, Daniel Manning, Yue Zhou, Joel A. Schultes, Vinalia Tjong, Dragan Pikula, Kathleen A. Krebs, Ann M. Ferrie, Stefan Kramel, Jennifer L. Weber, Todd M. Upton, Ye Fang, Zara Melkoumian","doi":"10.1002/biot.202300635","DOIUrl":null,"url":null,"abstract":"<p>Scalable single-use adherent cell-based biomanufacturing platforms are essential for unlocking the full potential of cell and gene therapies. The primary objective of this study is to design and develop a novel fixed bed bioreactor platform tailored specifically for scaling up adherent cell culture. The bioreactor comprises a packed bed of vertically stacked woven polyethylene terephthalate mesh discs, sandwiched between two-fluid guide plates. Leveraging computational fluid dynamics modeling, we optimized bioreactor design to achieve uniform flow with minimal shear stress. Residence time distribution measurements demonstrated excellent flow uniformity with plug flow characteristics. Periodic media sampling coupled with offline analysis revealed minimal gradients of crucial metabolites (glucose, glutamine, lactate, and ammonia) across the bioreactor during cell growth. Furthermore, the bioreactor platform demonstrated high performance in automated cell harvesting, with ≈96% efficiency and ≈98% viability. It also exhibited linear scalability in both operational parameters and performance for cell culture and adeno-associated virus vector production. We developed mathematical models based on oxygen uptake rates to accurately predict cell growth curves and estimate biomass in real-time. This study demonstrates the effectiveness of the developed fixed-bed bioreactor platform in enabling scalable adherent cell-based biomanufacturing with high productivity and process control.</p>","PeriodicalId":134,"journal":{"name":"Biotechnology Journal","volume":"19 8","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/biot.202300635","citationCount":"0","resultStr":"{\"title\":\"Innovative fixed bed bioreactor platform: Enabling linearly scalable adherent cell biomanufacturing with real-time biomass prediction from nutrient consumption\",\"authors\":\"Vasiliy N. Goral, Yulong Hong, Jeffery J. Scibek, Yujian Sun, Lori E. Romeo, Abhijit Rao, Daniel Manning, Yue Zhou, Joel A. Schultes, Vinalia Tjong, Dragan Pikula, Kathleen A. Krebs, Ann M. Ferrie, Stefan Kramel, Jennifer L. Weber, Todd M. 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Innovative fixed bed bioreactor platform: Enabling linearly scalable adherent cell biomanufacturing with real-time biomass prediction from nutrient consumption
Scalable single-use adherent cell-based biomanufacturing platforms are essential for unlocking the full potential of cell and gene therapies. The primary objective of this study is to design and develop a novel fixed bed bioreactor platform tailored specifically for scaling up adherent cell culture. The bioreactor comprises a packed bed of vertically stacked woven polyethylene terephthalate mesh discs, sandwiched between two-fluid guide plates. Leveraging computational fluid dynamics modeling, we optimized bioreactor design to achieve uniform flow with minimal shear stress. Residence time distribution measurements demonstrated excellent flow uniformity with plug flow characteristics. Periodic media sampling coupled with offline analysis revealed minimal gradients of crucial metabolites (glucose, glutamine, lactate, and ammonia) across the bioreactor during cell growth. Furthermore, the bioreactor platform demonstrated high performance in automated cell harvesting, with ≈96% efficiency and ≈98% viability. It also exhibited linear scalability in both operational parameters and performance for cell culture and adeno-associated virus vector production. We developed mathematical models based on oxygen uptake rates to accurately predict cell growth curves and estimate biomass in real-time. This study demonstrates the effectiveness of the developed fixed-bed bioreactor platform in enabling scalable adherent cell-based biomanufacturing with high productivity and process control.
Biotechnology JournalBiochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
8.90
自引率
2.10%
发文量
123
审稿时长
1.5 months
期刊介绍:
Biotechnology Journal (2019 Journal Citation Reports: 3.543) is fully comprehensive in its scope and publishes strictly peer-reviewed papers covering novel aspects and methods in all areas of biotechnology. Some issues are devoted to a special topic, providing the latest information on the most crucial areas of research and technological advances.
In addition to these special issues, the journal welcomes unsolicited submissions for primary research articles, such as Research Articles, Rapid Communications and Biotech Methods. BTJ also welcomes proposals of Review Articles - please send in a brief outline of the article and the senior author''s CV to the editorial office.
BTJ promotes a special emphasis on:
Systems Biotechnology
Synthetic Biology and Metabolic Engineering
Nanobiotechnology and Biomaterials
Tissue engineering, Regenerative Medicine and Stem cells
Gene Editing, Gene therapy and Immunotherapy
Omics technologies
Industrial Biotechnology, Biopharmaceuticals and Biocatalysis
Bioprocess engineering and Downstream processing
Plant Biotechnology
Biosafety, Biotech Ethics, Science Communication
Methods and Advances.