Biosynthesis, applications, and mathematical modeling dynamics of lactic acid bacteria exopolysaccharides: A review
There is a dearth of literature on mathematical modeling for producing exopolysaccharides (EPS) synthesized by lactic acid bacteria (LAB). Mathematical models can enhance EPS yield by considering the distribution of control over metabolic flows and physicochemical restrictions. These models improve...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Academy of Ecology and Environmental Sciences
2025-09-01
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| Series: | Network Biology |
| Subjects: | |
| Online Access: | http://www.iaees.org/publications/journals/nb/articles/2025-15(3)/biosynthesis-mathematical-modeling-of-lactic-acid-bacteria.pdf |
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| Summary: | There is a dearth of literature on mathematical modeling for producing exopolysaccharides (EPS) synthesized by lactic acid bacteria (LAB). Mathematical models can enhance EPS yield by considering the distribution of control over metabolic flows and physicochemical restrictions. These models improve the economic viability of LAB-EPS production by optimizing output and reducing substrate use. White-box models, utilize comprehensive system knowledge, forecast performance, and optimize processes such as EPS biosynthesis while employing algorithms like fuzzy patterns, rule-based systems, and decision trees to increase productivity and identify bottlenecks. Stoichiometric models quantify the relationship between substrate consumption and EPS production, optimizing carbon fluxes. Metabolic and pathway-based models provide data regarding intracellular networks governing EPS biosynthesis and the effects of nutrient availability. Global models, such as flux balance analysis (FBA), integrate genome-scale networks to predict cellular behavior and optimize production conditions. This review highlights the utility of mathematical modeling as a technique for augmenting LAB-EPS production, discussing various modeling approaches that offer insights into modifying EPS's physicochemical characteristics, structure, and functions. These models can aid in upgrading manufacturing processes, enhancing scalability, and improving the efficiency of LAB-EPS research. The review emphasizes the role of mathematical modeling in optimizing EPS production for applications in the cosmetics, food, dairy, and pharmaceutical industries and strategies to improve industrial-scale processes. |
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| ISSN: | 2220-8879 |