A review of algorithmic approaches for cell culture media optimization

Frontiers in Bioengineering and Biotechnology

Bioengineering and Biotechnology

Tianxun Zhou¹  Keng Hwee Chiam²  Rinta Reji²  Ryanjit Singh Kairon² 

[1] Bioinformatics Institute, Cellular Image Informatics Division, A*STAR, Singapore, Singapore;Bioinformatics Institute, Cellular Image Informatics Division, A*STAR, Singapore, Singapore;School of Biological Sciences, Nanyang Technological University, Singapore, Singapore;

关键词: culture media optimization;    media optimization algorithm;    fermentation optimization;    surrogate model;    metaheuistics;    design of experiements;    benchmark comparison;   

DOI  :  10.3389/fbioe.2023.1195294

 received in 2023-03-28, accepted in 2023-05-03,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Zhou, Reji, Kairon and Chiam.