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Optimal influent N-to-P ratio for stable microalgal cultivation in water treatment and nutrient recovery

Authors: Michael Steidl; Borja Valverde-Pérez; Dorottya Sarolta Wágner; Dorottya Sarolta Wágner; Arnaud Dechesne; Benedek G. Plósz; Benedek G. Plósz; +1 Authors

Optimal influent N-to-P ratio for stable microalgal cultivation in water treatment and nutrient recovery

Abstract

Species specific nitrogen-to-phosphorus molar ratio (NPR) has been suggested for green microalgae. Algae can store nitrogen and phosphorus, suggesting that the optimum feed concentration dynamically changes as function of the nutrient storage. We assessed the effect of varying influent NPR on microalgal cultivation in terms of microbial community stability, effluent quality and biokinetics. Mixed green microalgae (Chlorella sorokiniana and Scenedesmus sp.) and a monoculture of Chlorella sp. were cultivated in continuous laboratory-scale reactors treating used water. An innovative image analysis tool, developed in this study, was used to track microbial community changes. Diatoms proliferated as influent NPR decreased, and were outcompeted once cultivation conditions were restored to the optimal NPR range. Low NPR operation resulted in decrease in phosphorus removal, biomass concentration and effluent nitrogen concentration. ASM-A kinetic model simulation results agreed well with operational data in the absence of diatoms. The failure to predict operational data in the presence of diatoms suggest differences in microbial activity that can significantly influence nutrient recovery in photobioreactors (PBR). No contamination occurred during Chlorella sp. monoculture cultivation with varying NPRs. Low NPR operation resulted in decrease in biomass concentration, effluent nitrogen concentration and nitrogen quota. The ASM-A model was calibrated for the monoculture and the simulations could predict the experimental data in continuous operation using a single parameter subset, suggesting stable biokinetics under the different NPR conditions. Results show that controlling the influent NPR is effective to maintain the algal community composition in PBR, thereby ensuring effective nutrients uptake.

Countries
United Kingdom, United Kingdom, Denmark
Keywords

Algal diversity control in photobioreactors, /dk/atira/pure/subjectarea/asjc/1600/1600; name=General Chemistry, /dk/atira/pure/subjectarea/asjc/2300/2305; name=Environmental Engineering, Nitrogen, Chlorella, /dk/atira/pure/subjectarea/asjc/2300/2307; name=Health, Toxicology and Mutagenesis, Wastewater, Water Purification, Photobioreactors, /dk/atira/pure/subjectarea/asjc/2300/2310; name=Pollution, Microalgae, Process modelling, Biomass, Nitrogen-to-phosphorus ratio, Water, Phosphorus, Resource recovery, Nutrients, Algal cultivation, /dk/atira/pure/subjectarea/asjc/2300/2304; name=Environmental Chemistry, Ecological interactions in photobioreactors, Scenedesmus

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 1%
Green