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Structured population balances to support microalgae-based processes: Review of the state-of-art and perspectives analysis

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DOI: 10.1016/j.csbj.2023.01.042

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Population balance equations; Microalgae biorefineries; Mathematical modelling; Downstream processes; Optimization

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The design and optimization of microalgae processes have historically not taken into account the impact of cell-to-cell heterogeneity. However, recent experimental evidence suggests that this heterogeneity can be crucial in cultivation and downstream processes. Population balance equations (PBEs) provide a powerful approach for modeling cell-to-cell heterogeneity. This review discusses the potential of PBEs for analyzing and designing microalgae processes, with a focus on the univariate size/mass structured PBE.
Design and optimization of microalgae processes have traditionally relied on the application of unsegregated mathematical models, thus neglecting the impact of cell-to-cell heterogeneity. However, there is experi-mental evidence that the latter one, including but not limited to variation in mass/size, internal composition and cell cycle phase, can play a crucial role in both cultivation and downstream processes. Population bal-ance equations (PBEs) represent a powerful approach to develop mathematical models describing the effect of cell-to-cell heterogeneity. In this work, the potential of PBEs for the analysis and design of microalgae processes are discussed. A detailed review of PBE applications to microalgae cultivation, harvesting and disruption is reported. The review is largely focused on the application of the univariate size/mass structured PBE, where the size/mass is the only internal variable used to identify the cell state. Nonetheless, the need, addressed by few studies, for additional or alternative internal variables to identify the cell cycle phase and/ or provide information about the internal composition is discussed. Through the review, the limitations of previous studies are described, and areas are identified where the development of more reliable PBE models, driven by the increasing availability of single-cell experimental data, could support the understanding and purposeful exploitation of the mechanisms determining cell-to-cell heterogeneity.(c) 2023 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).

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