Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development
Cyanobacterial cell factories trace a vibrant pathway to climate change neutrality and sustainable development owing to their ability to turn carbon dioxide-rich waste into a broad portfolio of renewable compounds, which are deemed valuable in green chemistry cross-sectorial applications. Cell facto...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-04-01
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| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2021.639482/full |
| _version_ | 1819169306634616832 |
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| author | Nicolò S. Vasile Alessandro Cordara Giulia Usai Giulia Usai Angela Re |
| author_facet | Nicolò S. Vasile Alessandro Cordara Giulia Usai Giulia Usai Angela Re |
| author_sort | Nicolò S. Vasile |
| collection | DOAJ |
| description | Cyanobacterial cell factories trace a vibrant pathway to climate change neutrality and sustainable development owing to their ability to turn carbon dioxide-rich waste into a broad portfolio of renewable compounds, which are deemed valuable in green chemistry cross-sectorial applications. Cell factory design requires to define the optimal operational and cultivation conditions. The paramount parameter in biomass cultivation in photobioreactors is the light intensity since it impacts cellular physiology and productivity. Our modeling framework provides a basis for the predictive control of light-limited, light-saturated, and light-inhibited growth of the Synechocystis sp. PCC 6803 model organism in a flat-panel photobioreactor. The model here presented couples computational fluid dynamics, light transmission, kinetic modeling, and the reconstruction of single cell trajectories in differently irradiated areas of the photobioreactor to relate key physiological parameters to the multi-faceted processes occurring in the cultivation environment. Furthermore, our analysis highlights the need for properly constraining the model with decisive qualitative and quantitative data related to light calibration and light measurements both at the inlet and outlet of the photobioreactor in order to boost the accuracy and extrapolation capabilities of the model. |
| first_indexed | 2024-12-22T19:17:24Z |
| format | Article |
| id | doaj.art-40fb20f24d3b4108bdfe67dd8b8953dd |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-12-22T19:17:24Z |
| publishDate | 2021-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-40fb20f24d3b4108bdfe67dd8b8953dd2022-12-21T18:15:28ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2021-04-011210.3389/fmicb.2021.639482639482Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess DevelopmentNicolò S. Vasile0Alessandro Cordara1Giulia Usai2Giulia Usai3Angela Re4Centre for Sustainable Future Technologies, Fondazione Istituto Italiano di Tecnologia, Genova, ItalyCentre for Sustainable Future Technologies, Fondazione Istituto Italiano di Tecnologia, Genova, ItalyCentre for Sustainable Future Technologies, Fondazione Istituto Italiano di Tecnologia, Genova, ItalyDepartment of Applied Science and Technology, Politecnico di Torino, Torino, ItalyCentre for Sustainable Future Technologies, Fondazione Istituto Italiano di Tecnologia, Genova, ItalyCyanobacterial cell factories trace a vibrant pathway to climate change neutrality and sustainable development owing to their ability to turn carbon dioxide-rich waste into a broad portfolio of renewable compounds, which are deemed valuable in green chemistry cross-sectorial applications. Cell factory design requires to define the optimal operational and cultivation conditions. The paramount parameter in biomass cultivation in photobioreactors is the light intensity since it impacts cellular physiology and productivity. Our modeling framework provides a basis for the predictive control of light-limited, light-saturated, and light-inhibited growth of the Synechocystis sp. PCC 6803 model organism in a flat-panel photobioreactor. The model here presented couples computational fluid dynamics, light transmission, kinetic modeling, and the reconstruction of single cell trajectories in differently irradiated areas of the photobioreactor to relate key physiological parameters to the multi-faceted processes occurring in the cultivation environment. Furthermore, our analysis highlights the need for properly constraining the model with decisive qualitative and quantitative data related to light calibration and light measurements both at the inlet and outlet of the photobioreactor in order to boost the accuracy and extrapolation capabilities of the model.https://www.frontiersin.org/articles/10.3389/fmicb.2021.639482/fullcomputational fluid dynamicsparticle tracingcarbon dioxide bioconversionalgal bioprocesssimulation modelingphotobioreactor |
| spellingShingle | Nicolò S. Vasile Alessandro Cordara Giulia Usai Giulia Usai Angela Re Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development Frontiers in Microbiology computational fluid dynamics particle tracing carbon dioxide bioconversion algal bioprocess simulation modeling photobioreactor |
| title | Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development |
| title_full | Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development |
| title_fullStr | Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development |
| title_full_unstemmed | Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development |
| title_short | Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development |
| title_sort | computational analysis of dynamic light exposure of unicellular algal cells in a flat panel photobioreactor to support light induced co2 bioprocess development |
| topic | computational fluid dynamics particle tracing carbon dioxide bioconversion algal bioprocess simulation modeling photobioreactor |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2021.639482/full |
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