Literature DB >> 36227544

Designing a Model-Driven Approach Towards Rational Experimental Design in Bioprocess Optimization.

Jing Wui Yeoh1,2, Chueh Loo Poh3,4.   

Abstract

To enable a more rational optimization approach to drive the transition from lab-scale to large industrial bioprocesses, a systematic framework coupling both experimental design and integrated modeling was established to guide the workflow executed from small flask scale to bioreactor scale. The integrated model relies on the coupling of biotic cell factory kinetics to the abiotic bioreactor hydrodynamics to offer a rational means for an in-depth understanding of two-way spatiotemporal interactions between cell behaviors and environmental variations. This model could serve as a promising tool to inform experimental work with reduced efforts via full-factorial in silico predictions. This chapter thus describes the general workflow involved in designing and applying this modeling approach to drive the experimental design towards rational bioprocess optimization.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bioprocess; Cell kinetic model; Computational fluid dynamics; Integrated modeling; Vanillin bioproduction

Mesh:

Year:  2023        PMID: 36227544     DOI: 10.1007/978-1-0716-2617-7_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Multi-scale spatio-temporal modeling: lifelines of microorganisms in bioreactors and tracking molecules in cells.

Authors:  Alexei Lapin; Michael Klann; Matthias Reuss
Journal:  Adv Biochem Eng Biotechnol       Date:  2010       Impact factor: 2.635

Review 2.  Advances and Practices of Bioprocess Scale-up.

Authors:  Jianye Xia; Guan Wang; Jihan Lin; Yonghong Wang; Ju Chu; Yingping Zhuang; Siliang Zhang
Journal:  Adv Biochem Eng Biotechnol       Date:  2016       Impact factor: 2.635

  2 in total

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