{"_id":"10193","year":"2022","quality_controlled":"1","publication_status":"published","status":"public","keyword":["Gaussian processes","Bayes optimization","Pareto optimization","multi-objective","cell culture","seed train"],"type":"book_chapter","citation":{"chicago-de":"Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann und Björn Frahm. 2022. Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, hg. von Ralf Pörtner und Johannes Möller, special issue:21–48. Processes : open access journal. Basel: MDPI. doi:https://doi.org/10.3390/pr10050883, .","van":"Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner R, Möller J, editors. Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing. Basel: MDPI; 2022. p. 21–48. (Processes : open access journal; vol. special issue).","din1505-2-1":"Hernández Rodriguez, Tanja ; Sekulic, Anton ; Lange-Hegermann, Markus ; Frahm, Björn: Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner, R. ; Möller, J. (Hrsg.): Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, Processes : open access journal. Bd. special issue. Basel : MDPI, 2022, S. 21–48","ama":"Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner R, Möller J, eds. Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing. Vol special issue. Processes : open access journal. MDPI; 2022:21-48. doi:https://doi.org/10.3390/pr10050883","ieee":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, and B. Frahm, “Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design,” in Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, vol. special issue, R. Pörtner and J. Möller, Eds. Basel: MDPI, 2022, pp. 21–48. doi: https://doi.org/10.3390/pr10050883.","mla":"Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, edited by Ralf Pörtner and Johannes Möller, vol. special issue, MDPI, 2022, pp. 21–48, https://doi.org/10.3390/pr10050883.","ufg":"Hernández Rodriguez, Tanja u. a.: Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design, in: Pörtner, Ralf/Möller, Johannes (Hgg.): Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, Band special issue, Basel 2022 (Processes : open access journal),  S. 21–48.","bjps":"Hernández Rodriguez T et al. (2022) Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. In Pörtner R and Möller J (eds), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, vol. special issue. Basel: MDPI, pp. 21–48.","apa":"Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., & Frahm, B. (2022). Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In R. Pörtner & J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing: Vol. special issue (pp. 21–48). MDPI. https://doi.org/10.3390/pr10050883","chicago":"Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann, and Björn Frahm. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” In Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, edited by Ralf Pörtner and Johannes Möller, special issue:21–48. Processes : Open Access Journal. Basel: MDPI, 2022. https://doi.org/10.3390/pr10050883.","short":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, in: R. Pörtner, J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, MDPI, Basel, 2022, pp. 21–48.","havard":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design, in: R. Pörtner, J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, MDPI, Basel, 2022: pp. 21–48."},"place":"Basel","language":[{"iso":"eng"}],"title":"Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design","editor":[{"first_name":"Ralf","last_name":"Pörtner","full_name":"Pörtner, Ralf"},{"last_name":"Möller","first_name":"Johannes","full_name":"Möller, Johannes"}],"date_updated":"2023-08-16T09:24:16Z","date_created":"2023-08-08T12:58:36Z","volume":"special issue","series_title":"Processes : open access journal","abstract":[{"lang":"eng","text":"Development and optimization of biopharmaceutical production processes with cell cultures is cost- and time-consuming and often performed rather empirically. Efficient optimization of multiple objectives such as process time, viable cell density, number of operating steps & cultivation scales, required medium, amount of product as well as product quality depicts a promising approach. This contribution presents a workflow which couples uncertainty-based upstream simulation and Bayes optimization using Gaussian processes. Its application is demonstrated in a simulation case study for a relevant industrial task in process development, the design of a robust cell culture expansion process (seed train), meaning that despite uncertainties and variabilities concerning cell growth, low variations of viable cell density during the seed train are obtained. Compared to a non-optimized reference seed train, the optimized process showed much lower deviation rates regarding viable cell densities (<10% instead of 41.7%) using five or four shake flask scales and seed train duration could be reduced by 56 h from 576 h to 520 h. Overall, it is shown that applying Bayes optimization allows for optimization of a multi-objective optimization function with several optimizable input variables and under a considerable amount of constraints with a low computational effort. This approach provides the potential to be used in the form of a decision tool, e.g., for the choice of an optimal and robust seed train design or for further optimization tasks within process development."}],"publication":"Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing","publication_identifier":{"eissn":["2227-9717"],"isbn":["978-3-0365-5210-1"],"eisbn":["978-3-0365-5209-5"]},"author":[{"last_name":"Hernández Rodriguez","first_name":"Tanja","id":"52466","full_name":"Hernández Rodriguez, Tanja"},{"full_name":"Sekulic, Anton","first_name":"Anton","last_name":"Sekulic"},{"full_name":"Lange-Hegermann, Markus","id":"71761","first_name":"Markus","last_name":"Lange-Hegermann"},{"last_name":"Frahm","first_name":"Björn","id":"45666","full_name":"Frahm, Björn"}],"publisher":"MDPI","page":"21-48","doi":"https://doi.org/10.3390/pr10050883","department":[{"_id":"DEP4000"}],"user_id":"83781"}