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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/169811 |
| _version_ | 1824456248139972608 |
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| author | Zhou, Tianxun Reji, Rinta Kairon, Ryanjit Singh Chiam, Keng Hwee |
| author2 | School of Biological Sciences |
| author_facet | School of Biological Sciences Zhou, Tianxun Reji, Rinta Kairon, Ryanjit Singh Chiam, Keng Hwee |
| author_sort | Zhou, Tianxun |
| collection | NTU |
| 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. |
| first_indexed | 2025-02-19T03:51:05Z |
| format | Journal Article |
| id | ntu-10356/169811 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:51:05Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1698112023-08-07T15:31:52Z A review of algorithmic approaches for cell culture media optimization Zhou, Tianxun Reji, Rinta Kairon, Ryanjit Singh Chiam, Keng Hwee School of Biological Sciences Bioinformatics Institute, A*STAR Science::Biological sciences Culture Media Optimization Media Optimization Algorithm 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. Published version This work is supported by the “CRISP Meats: CentRe of Innovation for Sustainable banking and Production of cultivated Meats” project under the “Singapore Food Story R&D Programme Theme 2 – IAF-PP on Future Foods: Alternative Proteins” program. 2023-08-07T02:01:41Z 2023-08-07T02:01:41Z 2023 Journal Article Zhou, T., Reji, R., Kairon, R. S. & Chiam, K. H. (2023). A review of algorithmic approaches for cell culture media optimization. Frontiers in Bioengineering and Biotechnology, 11, 1195294-. https://dx.doi.org/10.3389/fbioe.2023.1195294 2296-4185 https://hdl.handle.net/10356/169811 10.3389/fbioe.2023.1195294 37251567 2-s2.0-85159964535 11 1195294 en Frontiers in Bioengineering and Biotechnology © 2023 Zhou, Reji, Kairon and Chiam. 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. application/pdf |
| spellingShingle | Science::Biological sciences Culture Media Optimization Media Optimization Algorithm 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 | Science::Biological sciences Culture Media Optimization Media Optimization Algorithm |
| url | https://hdl.handle.net/10356/169811 |
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