Xuan TAN, Qubo ZHU. Metabolism-guided design of serum-free media for modern biomanufacturing: from component control to cell-type-specific process optimization[J]. Journal of Zhejiang University Science B,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.B2600276
@article{title="Metabolism-guided design of serum-free media for modern biomanufacturing: from component control to cell-type-specific process optimization", author="Xuan TAN, Qubo ZHU", journal="Journal of Zhejiang University Science B", year="in press", publisher="Zhejiang University Press & Springer", doi="https://doi.org/10.1631/jzus.B2600276" }
%0 Journal Article %T Metabolism-guided design of serum-free media for modern biomanufacturing: from component control to cell-type-specific process optimization %A Xuan TAN %A Qubo ZHU %J Journal of Zhejiang University SCIENCE B %P %@ 1673-1581 %D in press %I Zhejiang University Press & Springer doi="https://doi.org/10.1631/jzus.B2600276"
TY - JOUR T1 - Metabolism-guided design of serum-free media for modern biomanufacturing: from component control to cell-type-specific process optimization A1 - Xuan TAN A1 - Qubo ZHU J0 - Journal of Zhejiang University Science B SP - EP - %@ 1673-1581 Y1 - in press PB - Zhejiang University Press & Springer ER - doi="https://doi.org/10.1631/jzus.B2600276"
Abstract: Serum-free media (SFM) and chemically defined media (CDM) are increasingly important in modern bi-omanufacturing, reducing dependence on undefined serum components and improving raw-material control, reproducibility, and biosafety. However, rational medium development extends beyond replacing serum with defined supplements. This review presents SFM design as a metabolism-guided optimization problem in which nutrient composition, waste-metabolite accumulation, redox balance, lipid homeostasis, and growth-factor signaling jointly determine cell growth, product quality, and process robustness. We trace the evolution and classification of SFM/CDM and map amino acids, carbon sources, vitamins, lipids, trace elements, and sig-naling factors to the metabolic constraints they regulate. We compare cell-type-specific requirements across Chinese hamster ovary (CHO) and human embryonic kidney 293 (HEK293) production cells, mesenchymal stromal cells, induced pluripotent stem cells, chimeric antigen receptor T (CAR-T) and natural killer cells, primary-cell and organoid systems, and viral production platforms. We further examine how metabolomics, high-throughput screening, machine learning, and process analytical technologies support dynamic medium adjustment and closed-loop control. Finally, we consider economic, scalability, regulatory, and sustainability constraints. This framework links measurable cellular states to cell-type-specific medium formulation and feeding strategies for biologics and cell-based manufacturing.
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