期刊
BIOTECHNOLOGY AND BIOENGINEERING
卷 118, 期 5, 页码 1932-1942出版社
WILEY
DOI: 10.1002/bit.27707
关键词
light; dark cycle; multiscale kinetic modelling; photobioreactor design; culture mixing; biomass cultivation
资金
- Commonwealth Scholarship Commission, UK
- EPSRC [EP/P016650/1] Funding Source: UKRI
The study proposes a mechanistic model integrating light/dark cycle effects into biomass growth kinetics and establishes an original correlation linking the effective light coefficient with photobioreactor gas inflow rate. By using this model and correlation, the photobioreactor gas inflow rates can be controlled and optimized to alleviate light attenuation and maintain a high biomass growth rate. The multiscale model developed in the study shows high accuracy compared to previous experimental and computational studies.
Light attenuation is a primary challenge limiting the upscaling of photobioreactors for sustainable bio-production. One key to this challenge, is to model and optimise the light/dark cycles so that cells within the dark region can be frequently transferred to the light region for photosynthesis. Therefore, this study proposes the first mechanistic model to integrate the light/dark cycle effects into biomass growth kinetics. This model was initially constructed through theoretical derivation based on the intracellular reaction kinetics, and was subsequently modified by embedding a new parameter, effective light coefficient, to account for the effects of culture mixing. To generate in silico process data, a new multiscale reactive transport modelling strategy was developed to couple fluid dynamics with biomass growth kinetics and light transmission. By comparing against previous experimental and computational studies, the multiscale model shows to be of high accuracy. Based on its simulation result, an original correlation was proposed to link effective light coefficient with photobioreactor gas inflow rate; this has not been done before. The impact of this study is that by using the proposed mechanistic model and correlation, we can easily control and optimise photobioreactor gas inflow rates to alleviate light attenuation and maintain a high biomass growth rate.
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