Exploring Microbial Growth Dynamics in a Pilot-Scale Microalgae Raceway Fed with Urban Wastewater: Insights into the Effect of Operational Variables
Abstract
Microalgae-based wastewater treatment is a promising technology efficient for nutrient recycling and biomass production. Studies continuously optimize processes to reduce costs and increase productivity. However, changes in the operational conditions affect not only biomass productivity but the dynamics of the overall microbial community. This study characterizes a microalgae culture from an 80 m 2 pilot-scale raceway reactor fed with untreated urban wastewater. Operational conditions such as pH, dissolved oxygen control strategies (On-off, PI, Event-based, no control), and culture height were varied to assess microbial population changes. Results demonstrate that increased culture height significantly promotes higher microalgal and bacterial diversity. pH, dissolved oxygen and culture height highly affects nitrifying bacteria activity and nitrogen accumulation. Furthermore, the system exhibited high disinfection capability with average Logarithmic Reduction Values (LRV) of 3.36 for E. coli and 2.57 for Clostridium perfringens. Finally, the fungi species detected included Chytridiomycota and Ascomycota, while purple photosynthetic bacteria were also found in significant abundance within the medium.
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Controlling the oxygen concentration in the culture system by periodically reducing the oxygen content can limit the growth of aerobic parasites and improve the overall efficiency of microalgae biomass production in PBRs.
“In such cases, an effective strategy is to control the oxygen concentration in the culture system, which can be achieved by periodically reducing the oxygen content [150].”
From Multi-Sensing Monitoring of the Microalgae Biomass Cultivation Systems for Biofuels and Added Value Products Synthesis—Challenges and Opportunities (2025) · cites this paper as [150]
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- Authors
- Nordio, R., Belachqer-El Attar, S., Clagnan, E., Sánchez-Zurano, A., Pichel, N., Viviano, E., Adani, F., Guzmán, J. L., & Acién, G.
- Affiliations
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES)
- University of Milan (IT)
- Universidad Rey Juan Carlos (ES)
- University of Almería (ES)
- Corresponding author
- Nordio, Rebecca
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2024-10
- Volume
- 369
- Pages
- 122385
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W4402314840
- Cited by
- 15
- References
- 80
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 1
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Environmental Management (publishedVersion)
- PubMed (publishedVersion)
- BURJC Digital (King Juan Carlos University) (submittedVersion)
- Hispana (submittedVersion)
- Funders
- Horizon Europe Excellent Science
- University of Milan
- EU Framework Programme for Research and Innovation Marie Skłodowska-Curie Actions
- University of Almeria
- Spain Ministry of Science Innovation and Universities
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Physical Sciences › Environmental Science › Waste Management and Disposal › Wastewater Treatment and Reuse
- Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
- Keywords
- microalgae-based wastewater treatment, raceway reactors, municipal wastewater, microbial community dynamics, dissolved oxygen control, pH, nitrifying bacteria, nitrogen accumulation, disinfection, Escherichia coli, Clostridium perfringens, fungal diversity, purple bacteria, biomass productivity
- MeSH terms
- Bacteria, Nitrogen, Waste Disposal, Fluid, Biomass, Bioreactors, Microalgae, Wastewater
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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