Literature DB >> 24297426

Seed train optimization for cell culture.

Björn Frahm1.   

Abstract

For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.

Mesh:

Year:  2014        PMID: 24297426     DOI: 10.1007/978-1-62703-733-4_22

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


  2 in total

1.  Dynamic parameter estimation and prediction over consecutive scales, based on moving horizon estimation: applied to an industrial cell culture seed train.

Authors:  Tanja Hernández Rodríguez; Christoph Posch; Ralf Pörtner; Björn Frahm
Journal:  Bioprocess Biosyst Eng       Date:  2020-12-29       Impact factor: 3.210

2.  Pre-stage perfusion and ultra-high seeding cell density in CHO fed-batch culture: a case study for process intensification guided by systems biotechnology.

Authors:  Lisa Stepper; Florian Alois Filser; Simon Fischer; Jochen Schaub; Ingo Gorr; Raphael Voges
Journal:  Bioprocess Biosyst Eng       Date:  2020-04-07       Impact factor: 3.210

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.