A novel mechanistic modelling approach for microbial selection dynamics: Towards improved design and control of raceway reactors for purple bacteria.
Autor: | Alloul A; Research GroEnergy, Air and Water Technology, Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium; Department of Biotechnology, Delft University of Technology, Maasweg 9, Delft 2629 HZ, The Netherlands., Moradvandi A; Department of Water Management, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands; Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands. Electronic address: a.moradvandi@tudelft.nl., Puyol D; Group of Chemical and Environmental Engineering, University Rey Juan Carlos, 28933 Madrid, Spain., Molina R; Group of Chemical and Environmental Engineering, University Rey Juan Carlos, 28933 Madrid, Spain., Gardella G; Department of Water Management, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands., Vlaeminck SE; Research GroEnergy, Air and Water Technology, Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium., De Schutter B; Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands., Abraham E; Department of Water Management, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands., Lindeboom REF; Department of Water Management, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands., Weissbrodt DG; Department of Biotechnology, Delft University of Technology, Maasweg 9, Delft 2629 HZ, The Netherlands; Department of Biotechnology and Food Science, Norwegian University of Science and Technology, 7034 Trondheim, Norway. |
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Jazyk: | angličtina |
Zdroj: | Bioresource technology [Bioresour Technol] 2023 Dec; Vol. 390, pp. 129844. Date of Electronic Publication: 2023 Oct 10. |
DOI: | 10.1016/j.biortech.2023.129844 |
Abstrakt: | Purple phototrophic bacteria (PPB) show an underexplored potential for resource recovery from wastewater. Raceway reactors offer a more affordable full-scale solution on wastewater and enable useful additional aerobic processes. Current mathematical models of PPB systems provide useful mechanistic insights, but do not represent the full metabolic versatility of PPB and thus require further advancement to simulate the process for technology development and control. In this study, a new modelling approach for PPB that integrates the photoheterotrophic, and both anaerobic and aerobic chemoheterotrophic metabolic pathways through an empirical parallel metabolic growth constant was proposed. It aimed the modelling of microbial selection dynamics in competition with aerobic and anaerobic microbial community under different operational scenarios. A sensitivity analysis was carried out to identify the most influential parameters within the model and calibrate them based on experimental data. Process perturbation scenarios were simulated, which showed a good performance of the model. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.) |
Databáze: | MEDLINE |
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