Optimization of process conditions for mammalian fed-batch cell culture in automated micro-bioreactor system using genetic algorithm

Brinc, Matjaž; Belič, Aleš

doi:10.1016/j.jbiotec.2019.05.001

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…These two methods perform significantly better than the other methods, while the Garlapati et al, 2010;Patil et al, 2002;Marteijn et al, 2003;Bapat and Wangikar, 2004;D. Weuster-Botz and Wandrey, 1995;Hofer et al, 2004;Hutwimmer et al, 2008aHutwimmer et al, (2008b, Sarma et al, 2009;Kucharzyk et al, 2012;Tišma et al, 2012;Chauhan et al, 2013;Singha and Panda, 2014;Camacho-Rodríguez et al, 2015;Munroe et al, 2019;Brinc and Belič, 2019;Heylen et (Desai et al, 2006;Desai et al, 2008;Pal et al, 2009;Baskar and Renganathan, 2010;Du et al, 2012;Haider et al, 2008;Singh et al, 2008;Peng et al, 2014;Pathak et al, 2015;Suryawanshi et al, 2019;Selvaraj et al, 2019;He et al, 2008;Subba Rao et al, 2008;Singh et al, 2009;Guo et al, 2010;Gurunathan and Sahadevan, 2011;Baskar and Renganathan, 2010;Rekha et al, 2013;Zhou et al, 2015;Wei et al, 2017;Kumar et al, 2017;Pandey et al, 2018;Katla et al, 2019;Joji et al, 2019;Prabhu...…”

Section: Comparison Of Methods With Simulation Experimentsmentioning

confidence: 99%

A review of algorithmic approaches for cell culture media optimization

Zhou

Reji

Kairon

et al. 2023

Front. Bioeng. Biotechnol.

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Cell culture media composition and culture conditions play a crucial role in product yield, quality and cost of production. Culture media optimization is the technique of improving media composition and culture conditions to achieve desired product outcomes. To achieve this, there have been many algorithmic methods proposed and used for culture media optimization in the literature. To help readers evaluate and decide on a method that best suits their specific application, we carried out a systematic review of the different methods from an algorithmic perspective that classifies, explains and compares the available methods. We also examine the trends and new developments in the area. This review provides recommendations to researchers regarding the suitable media optimization algorithm for their applications and we hope to also promote the development of new cell culture media optimization methods that are better suited to existing and upcoming challenges in this biotechnology field, which will be essential for more efficient production of various cell culture products.

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Section: Comparison Of Methods With Simulation Experimentsmentioning

confidence: 99%

A review of algorithmic approaches for cell culture media optimization

Zhou

Reji

Kairon

et al. 2023

Front. Bioeng. Biotechnol.

View full text Add to dashboard Cite

show abstract

“…by adjusting the glutamine and glucose feed using elementary flux analysis (Teixeira et al, 2007), which is a parameter-free modelling approach based on metabolic reaction stoichiometry. Other works target the maximisation of the total mAb concentration via machine learning (Fouladiha et al, 2020) and genetic algorithms (Brinc and Belič, 2019). Targeting quality-specific outputs, such as the glycosylation index, remains a challenging task as it would require online optimisation strategies that can incorporate a high-fidelity dynamic model, or its surrogate, which accurately describes the behaviour of the original system.…”

Section: Introductionmentioning

confidence: 99%