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WP4 - Reactor concepts

Microbiome applications face challenges due to the lack of suitable reactor systems, especially for phototrophic organisms. Current low-tech systems limit biomass concentration, reducing productivity and product yield. To compete with specialised fermentation systems, new reactor technologies enabling continuous operation and high space-time yields are essential.

4.1 Development of a multi-chamber lab-scale photobioreactor suitable for microbiome-based bioprocesses

A tailored compartmentalised photobioreactor was designed using division of labour at phenotype and spatial levels. Unlike prior small-scale approaches, this is among the first reactor-level implementations. Validated with ceramic membranes for controlled metabolite diffusion, it enables co-cultivation of heterotrophic and autotrophic organisms for high-value bioproduction. This multi-chamber design accelerates microbial consortium analysis, offering insights for system simulation and optimisation.

A corresponding model integrates CFD and biological modelling to simulate microbial interactions. Based on a modified BIO_ALGAE framework, it analyses members of the artificial microbial community in separate chambers, optimising conditions while enabling metabolic exchange. COMSOL Multiphysics™ models fluid dynamics, heat transfer, and species transport to predict optimal growth conditions.

Multi-chamber photobioreactor setup. The figure shows the compartmentalised bioreactor by an external light and CO2 farming chamber and an internal production ceramic chamber. Both spaces have independent culture settings according to the growing organism.

4.2 Development of a capillary biofilm reactor suitable for biofilm based bioprocesses

A gas-tight capillary bioreactor was developed to minimise product loss (H2), while a cell cytometry-based method was established for real-time biomass composition assessment. Additionally, EPS production analysis provided insights into biofilm performance. Initial outdoor experiments highlighted key operational constraints for future optimisation.

A)

B)

C)

Capillary biofilm reactor in the lab (A) and outside running under real-world conditions (C). (B) shows exemplary graphs from flow cytometry allowing close monitoring of population dynamics in the reactor.

References

  • Bozan, M., Berreth, H., Lindberg, P. & Bühler, K. (2024). Cyanobacterial biofilms: from natural systems to applications. Trends Biotechnol. 10.1016/j.tibtech.2024.08.005
  • Solimeno, A., Parker, L., Lundquist, T. & Garcí, J. (2017). Integral microalgae-bacteria Model (BIO_ALGAE): Application to wastewater high-rate algal ponds. Vol 601-602, p. 646-657.
  • Solimeno, A., Samsó, R., Uggetti, E., Sialve, B., Steyer, J., Gabarró, A. & García, J., (2015). New mechanistic model to simulate microalgae growth. vol. 12, p. 350-358. ISSN 2211-9264.
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This project receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101000733. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the EU nor REA can be held responsible for them.
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