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A review of algorithmic approaches for cell culture media optimization
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 alg...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213948/ https://www.ncbi.nlm.nih.gov/pubmed/37251567 http://dx.doi.org/10.3389/fbioe.2023.1195294 |
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author | Zhou, Tianxun Reji, Rinta Kairon, Ryanjit Singh Chiam, Keng Hwee |
author_facet | Zhou, Tianxun Reji, Rinta Kairon, Ryanjit Singh Chiam, Keng Hwee |
author_sort | Zhou, Tianxun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10213948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102139482023-05-27 A review of algorithmic approaches for cell culture media optimization Zhou, Tianxun Reji, Rinta Kairon, Ryanjit Singh Chiam, Keng Hwee Front Bioeng Biotechnol Bioengineering and Biotechnology 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. Frontiers Media S.A. 2023-05-11 /pmc/articles/PMC10213948/ /pubmed/37251567 http://dx.doi.org/10.3389/fbioe.2023.1195294 Text en Copyright © 2023 Zhou, Reji, Kairon and Chiam. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Zhou, Tianxun Reji, Rinta Kairon, Ryanjit Singh Chiam, Keng Hwee A review of algorithmic approaches for cell culture media optimization |
title | A review of algorithmic approaches for cell culture media optimization |
title_full | A review of algorithmic approaches for cell culture media optimization |
title_fullStr | A review of algorithmic approaches for cell culture media optimization |
title_full_unstemmed | A review of algorithmic approaches for cell culture media optimization |
title_short | A review of algorithmic approaches for cell culture media optimization |
title_sort | review of algorithmic approaches for cell culture media optimization |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213948/ https://www.ncbi.nlm.nih.gov/pubmed/37251567 http://dx.doi.org/10.3389/fbioe.2023.1195294 |
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