ArticleComputational and structural biotechnology journal2023
Towards advanced bioprocess optimization: A multiscale modelling approach.
Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Intelligent Plasmonic Bio-Holoelectrochemical Systems: A Testable Architecture for Light-Programmed Microbial Electrochemistry.Global challenges (Hoboken, NJ) · 2026Review
- Applying Raman Spectroscopy for Real-Time Monitoring of Ultra- and Diafiltration Steps in Viral Vector Purification.Pharmaceutics · 2026Article
- Operationalizing digital twins in biomanufacturing through interoperable process analytical technology.Bioprocess and biosystems engineering · 2026Article
- Multi-Scale Hybrid Modeling to Predict Cell Culture Process With Metabolic Phase Transitions.Biotechnology and bioengineering · 2026Article
- Systematic data-driven genome-scale metabolic model reduction for bioprocess modeling: CHO culture case study.NPJ systems biology and applications · 2026Article
- Hybrid dynamic flux balance modeling approach for bioprocesses: an E. coli case study.Bioprocess and biosystems engineering · 2025Article
- Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization.Computational and structural biotechnology journal · 2025Article
- Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks.Frontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mammalian cells produce up to 80 % of the commercially available therapeutic proteins, with Chinese Hamster Ovary (CHO) cells being the primary production host. Manufacturing involves a train of reactors, the last of which is typically run in fed-batch mode, where cells grow and produce the required protein. The feeding strategy is decided a priori, from either past operations or the design of experiments and rarely considers the current state of the process. This work proposes a Model Predictive Control (MPC) formulation based on a hybrid kinetic-stoichiometric reactor model to provide optimal feeding policies in real-time, which is agnostic to the culture, hence transferable across CHO cell culture systems. The benefits of the proposed controller formulation are demonstrated through a comparison between an open-loop simulation and closed-loop optimization, using a digital twin as an emulator of the process.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.