Amanda Carvajal Campos | 2019031478 Ariadna Gutierrez Fajardo | 2019380115 Catalina Salas Ciudad | 2019380043 Daniela Salas Ciudad | 2019206013 Erick Cortes Cordero | 2019270722 Jenifer Solano Miranda | 2014082036
High-throughput optimisation of light-driven microalgae biotechnologies Introduction Microalgae are photosynthetic organisms that are being integrated into industrial production systems to realise solar driven biotechnologies. In this process, the first step is to capture the light and convert it to energy. Light fluctuations within the microalgae affect the productivity of the culture. Consequently, the high-throughput light screen method presented enables to optimize the process and to analyze the interactions of density, cycle time and maximum irradiance, in Chlamydomonas reinhardtii and Chlorella sp. Development:
High-throughput screen (HTS) of simulated light regimes in mass cultures Light simulations were performed with LED, showing that a low or high Df represents a low or high cell density respectively. On the other hand, the t is influenced by sparing rates, reactor pathlength, or a combination of the two. The Imax values represent the incident solar radiation in various times of the day. Additional experiments compared de PEu between the control cells and the ones exposed to fluctuating regimes. Growth rates were calculated and normalized to the light received to estimate the photosynthetic efficiency. The distribution for Chlorella showed in the results that factors can be used to predict the relationship to PEµ but Chlamydomonas have more complex regulations so it can’t be modelled just with these light factors. Also, low Imax and high Df had a positive impact, which suggests that dense cultures can offer protection under high light. For Chlamydomonas, photosynthetic rates improved under high light, the over-saturating irradiance could not be fully utilised by the Calvin-Benson cycle. For Chlorella, the same happens as in the previous case, however, with a more significant factor related to PEµ, it gave a large negative coefficient.
Conclusion The HTS provides an efficient, quick and affordable platform, that allows to obtain large data-sets for microalgae applications. However, this technique carries some limitations. Also, Chlorella is used because it is appropriate for mass cultivation, in spite of its deficient level of regulatory sophistication. To sum up, the HTS method developed allows a faster approach to improve systems design, scale up operational circumstances and species selection to advance feasible solar-driven biotechnologies.
Amanda Carvajal Campos | 2019031478
ResponderEliminarAriadna Gutierrez Fajardo | 2019380115
Catalina Salas Ciudad | 2019380043
Daniela Salas Ciudad | 2019206013
Erick Cortes Cordero | 2019270722
Jenifer Solano Miranda | 2014082036
High-throughput optimisation of light-driven microalgae biotechnologies
Introduction
Microalgae are photosynthetic organisms that are being integrated into industrial production systems to realise solar driven biotechnologies. In this process, the first step is to capture the light and convert it to energy. Light fluctuations within the microalgae affect the productivity of the culture. Consequently, the high-throughput light screen method presented enables to optimize the process and to analyze the interactions of density, cycle time and maximum irradiance, in Chlamydomonas reinhardtii and Chlorella sp.
Development:
High-throughput screen (HTS) of simulated light regimes in mass cultures
Light simulations were performed with LED, showing that a low or high Df represents a low or high cell density respectively. On the other hand, the t is influenced by sparing rates, reactor pathlength, or a combination of the two. The Imax values represent the incident solar radiation in various times of the day. Additional experiments compared de PEu between the control cells and the ones exposed to fluctuating regimes. Growth rates were calculated and normalized to the light received to estimate the photosynthetic efficiency.
The distribution for Chlorella showed in the results that factors can be used to predict the relationship to PEµ but Chlamydomonas have more complex regulations so it can’t be modelled just with these light factors. Also, low Imax and high Df had a positive impact, which suggests that dense cultures can offer protection under high light.
For Chlamydomonas, photosynthetic rates improved under high light, the over-saturating irradiance could not be fully utilised by the Calvin-Benson cycle. For Chlorella, the same happens as in the previous case, however, with a more significant factor related to PEµ, it gave a large negative coefficient.
Conclusion
The HTS provides an efficient, quick and affordable platform, that allows to obtain large data-sets for microalgae applications. However, this technique carries some limitations. Also, Chlorella is used because it is appropriate for mass cultivation, in spite of its deficient level of regulatory sophistication. To sum up, the HTS method developed allows a faster approach to improve systems design, scale up operational circumstances and species selection to advance feasible solar-driven biotechnologies.