Integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed-batch cultures
The production of phycobiliproteins, such as cyanobacterial phycocyanins, is a growing interest due to their diverse industrial and biotechnological applications. This study focuses on optimizing phycocyanin production using the strain Potamosiphon sp. through experimental techniques and mathematica...
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Elsevier
2025-01-01
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| Series: | South African Journal of Chemical Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1026918524001239 |
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| author | Jefferson E. Contreras-Ropero Janet B. García-Martínez Andrés F. Barajas-Solano |
| author_facet | Jefferson E. Contreras-Ropero Janet B. García-Martínez Andrés F. Barajas-Solano |
| author_sort | Jefferson E. Contreras-Ropero |
| collection | DOAJ |
| description | The production of phycobiliproteins, such as cyanobacterial phycocyanins, is a growing interest due to their diverse industrial and biotechnological applications. This study focuses on optimizing phycocyanin production using the strain Potamosiphon sp. through experimental techniques and mathematical modeling in fed-batch cultures. The methodology applied includes determining the kinetic constants by linearizing the Monod equation evaluating the concentrations of biomass, C-phycocyanin (C-PC), nitrates (NO3), and phosphates (PO4). A mathematical model of periodic fed-batch feeding was subsequently established, applying mass conservation principles and evaluating the accuracy of the Monod, Contois, Moser, and Tessier models. The results indicate that phycocyanin production is highly dependent on phosphorus and nitrogen concentrations, with optimal conversion observed at specific levels of these elements (0.832 for phosphorus and 0.805 for nitrogen in terms of C-PC and biomass, respectively). The Tessier model demonstrated the highest accuracy in predicting production and optimizing operational conditions, with a Mean Squared Error (MSE) of 0.005000 for biomass production, 0.200000 for C-PC production, and 0.000010 for substrate consumption. It also achieved high R² values of 0.980 for biomass, 0.999 for C-PC production, and 0.997 for substrate consumption. It presented the lowest Akaike Information Criterion (AIC) scores, indicating its robustness and reliability in modeling these processes and manipulating cultivation conditions and providing adequate nutrition allowed for achieving growth rates of 1.23 g/L and a C-PC concentration of 37 mg/L, which are essential for industrial applications such as natural colorants and antioxidants, among others. |
| format | Article |
| id | doaj-art-029c658792024c0aacdcb49ce55f32f6 |
| institution | Kabale University |
| issn | 1026-9185 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | South African Journal of Chemical Engineering |
| spelling | doaj-art-029c658792024c0aacdcb49ce55f32f62025-01-19T06:24:14ZengElsevierSouth African Journal of Chemical Engineering1026-91852025-01-01513544Integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed-batch culturesJefferson E. Contreras-Ropero0Janet B. García-Martínez1Andrés F. Barajas-Solano2Department of Environmental Sciences, Universidad Francisco de Paula Santander, Av. Gran ColombiaNo. 12E-96, Cúcuta, 540003, Colombia; School of Chemical Engineering, Research Center for Sustainable Development in Industry and Energy, Universidad Industrial de Santander, Bucaramanga, 680003, ColombiaDepartment of Environmental Sciences, Universidad Francisco de Paula Santander, Av. Gran ColombiaNo. 12E-96, Cúcuta, 540003, ColombiaDepartment of Environmental Sciences, Universidad Francisco de Paula Santander, Av. Gran ColombiaNo. 12E-96, Cúcuta, 540003, Colombia; Corresponding author.The production of phycobiliproteins, such as cyanobacterial phycocyanins, is a growing interest due to their diverse industrial and biotechnological applications. This study focuses on optimizing phycocyanin production using the strain Potamosiphon sp. through experimental techniques and mathematical modeling in fed-batch cultures. The methodology applied includes determining the kinetic constants by linearizing the Monod equation evaluating the concentrations of biomass, C-phycocyanin (C-PC), nitrates (NO3), and phosphates (PO4). A mathematical model of periodic fed-batch feeding was subsequently established, applying mass conservation principles and evaluating the accuracy of the Monod, Contois, Moser, and Tessier models. The results indicate that phycocyanin production is highly dependent on phosphorus and nitrogen concentrations, with optimal conversion observed at specific levels of these elements (0.832 for phosphorus and 0.805 for nitrogen in terms of C-PC and biomass, respectively). The Tessier model demonstrated the highest accuracy in predicting production and optimizing operational conditions, with a Mean Squared Error (MSE) of 0.005000 for biomass production, 0.200000 for C-PC production, and 0.000010 for substrate consumption. It also achieved high R² values of 0.980 for biomass, 0.999 for C-PC production, and 0.997 for substrate consumption. It presented the lowest Akaike Information Criterion (AIC) scores, indicating its robustness and reliability in modeling these processes and manipulating cultivation conditions and providing adequate nutrition allowed for achieving growth rates of 1.23 g/L and a C-PC concentration of 37 mg/L, which are essential for industrial applications such as natural colorants and antioxidants, among others.http://www.sciencedirect.com/science/article/pii/S1026918524001239CyanobacteriaPotamosiphon sp.C-PCFed-batch cultivationMathematical modeling |
| spellingShingle | Jefferson E. Contreras-Ropero Janet B. García-Martínez Andrés F. Barajas-Solano Integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed-batch cultures South African Journal of Chemical Engineering Cyanobacteria Potamosiphon sp. C-PC Fed-batch cultivation Mathematical modeling |
| title | Integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed-batch cultures |
| title_full | Integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed-batch cultures |
| title_fullStr | Integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed-batch cultures |
| title_full_unstemmed | Integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed-batch cultures |
| title_short | Integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed-batch cultures |
| title_sort | integration of mathematical and experimental modeling for sustainable phycobiliprotein production via fed batch cultures |
| topic | Cyanobacteria Potamosiphon sp. C-PC Fed-batch cultivation Mathematical modeling |
| url | http://www.sciencedirect.com/science/article/pii/S1026918524001239 |
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