A dynamical model towards continuous single-cell cultivation using photobioreactors

Phenomenological models for different stages of a photosynthetic system have helped predict experimental outcomes at the cell level. Similar models exist to predict process outcomes at the bioreactor scale. However, biological and process models are typically ontologically separate, as process models do not include explicit mappings of cellular processes. This work presents a model for the dynamics of photobioreactors with phenomenological reaction kinetics. The model allows for design and control integration, with insights into design parameters and operating conditions aiding both the growth of microalgae and the production of valuable lipids. The model also enables integration of process topology such that the reactor network connections yielding a complete process can be modelled alongside reaction kinetics. Therefore, we provide insights on nonlinear dependence of biomass and lipid production using microalgae cultivation, design parameters such as incident light intensity and photobioreactor radius, and process operating conditions such as flow rates. • A dynamical model for continuous single-cell cultivation is presented. • Dynamical model considers light and flow rate of species into the reactor as only inputs. • Dependence on radial design parameter is also studied to yield optimal conditions for growth and production. • Simplicity of the model could aid in control and monitoring applications.

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Publication Details

Journal
Chemical Engineering Science
Published
2025-01-09
DOI
https://doi.org/10.1016/j.ces.2025.121202
Citations
3
Primary Topic
Algal biology and biofuel production
Type
article
Field-Weighted Citation Impact
1.09

Funders

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article

A dynamical model towards continuous single-cell cultivation using photobioreactors

Abhishek Sivaram, Seyed Soheil Mansouri, Alireza Mehrdadfar, Christian Euler
3 citations
Chemical Engineering Science
Algal biology and biofuel production
1.09
article

A dynamical model towards continuous single-cell cultivation using photobioreactors

Abhishek Sivaram, Seyed Soheil Mansouri, Alireza Mehrdadfar, Christian Euler
article en
3 citations

Abstract

Phenomenological models for different stages of a photosynthetic system have helped predict experimental outcomes at the cell level. Similar models exist to predict process outcomes at the bioreactor scale. However, biological and process models are typically ontologically separate, as process models do not include explicit mappings of cellular processes. This work presents a model for the dynamics of photobioreactors with phenomenological reaction kinetics. The model allows for design and control integration, with insights into design parameters and operating conditions aiding both the growth of microalgae and the production of valuable lipids. The model also enables integration of process topology such that the reactor network connections yielding a complete process can be modelled alongside reaction kinetics. Therefore, we provide insights on nonlinear dependence of biomass and lipid production using microalgae cultivation, design parameters such as incident light intensity and photobioreactor radius, and process operating conditions such as flow rates. • A dynamical model for continuous single-cell cultivation is presented. • Dynamical model considers light and flow rate of species into the reactor as only inputs. • Dependence on radial design parameter is also studied to yield optimal conditions for growth and production. • Simplicity of the model could aid in control and monitoring applications.

Chemical Engineering ScienceVol. 306
University of Waterloo (CA), Technical University of Denmark (DK)
Danmarks Tekniske Universitet, Energiteknologisk udviklings- og demonstrationsprogram, Grønt Udviklings- og Demonstrations Program
Zero hunger
Openalex Percentile: Top 26%
Algal biology and biofuel production
1.09
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A dynamical model towards continuous single-cell cultivation using photobioreactors — Abhishek Sivaram, Seyed Soheil Mansouri, et al. · Chemical Engineering Science (2025) | TGRS Research Map | TGRS