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Article . 2025
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Biotechnology and Bioengineering
Article . 2025 . Peer-reviewed
License: Wiley Online Library User Agreement
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https://doi.org/10.22541/au.17...
Article . 2025 . Peer-reviewed
Data sources: Crossref
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Mechanistic Modeling of Rotating Algal Biofilms

Authors: Gao, Yan; Perré, Patrick; Fierro, Ignacio; Lopes, Filipa; Bernard, Olivier;

Mechanistic Modeling of Rotating Algal Biofilms

Abstract

ABSTRACT Biofilm‐based microalgal cultivation systems have emerged as a promising alternative to conventional suspended growth methods, offering improved light utilization and biomass productivity. Among these, Rotating Algal Biofilm (RAB) systems are particularly advantageous by subjecting cells to short periodic light/dark (L/D) cycles to mitigate photoinhibition. Through experimental validation and modeling, this study demonstrates that optimized L/D cycles enhance photosynthetic efficiency by temporally diluting high‐intensity light. To investigate the impact of light regimes, a model was developed based on Han's photosynthesis framework, incorporating respiration dynamics for broad ranges of cycle times and L/D ratios. Calibrated with experimental data, it accurately predicts biofilm behavior under varying light conditions. A key innovation is the integration of respiration variations during intermittent illumination, providing insights into growth dynamics across frequencies and duty cycles. Key findings show that high light frequencies reduce photoinhibition and enhance growth at given intensities. Increasing the light fraction improves growth rates by reducing peak intensity and shortening dark periods. The model elucidates biofilm responses to fluctuating light and offers strategies for reactor optimization. This study advances algal biofilm photophysiology understanding and provides a predictive tool for optimization and scaling up biofilm‐based cultivation systems.

Country
France
Keywords

Light, microalgae, Models, Biological, biofilm, light/dark cycles, Photobioreactors, [INFO.INFO-BT] Computer Science [cs]/Biotechnology, Biofilms, Microalgae, growth modelling, [NLIN] Nonlinear Sciences [physics], Biomass, Photosynthesis, respiration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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