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May 31, 2026Water0 citationsOpen Access

Statistical Optimization of Eggshell-Derived Bioflocculants for the Harvesting of Chlorella spp. and Nutrient Mitigation in Agricultural Wastewater

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KGKatherine GuzmánAIAndres IzquierdoMQMilton Quinga

Key Points

  • This research investigates the effectiveness of eggshell-derived bioflocculants in removing Chlorella spp. from agricultural wastewater.
  • Applied two-level factorial design to assess effects of pH, temperature, biomass concentration, and bioflocculant dosage.
  • Optimized conditions included pH 10, temperature 18.5 °C, bioflocculant dose of 100 mg L−1, and initial biomass concentration of 3.76 × 107 cells mL−1.
  • Monitored reductions in chemical oxygen demand, nitrates, phosphates, and coliform bacteria.
  • Achieved 94% biomass removal efficiency under optimized conditions.
  • Observed reductions in chemical oxygen demand (78%), nitrates (87%), phosphates (21%), and coliform bacteria (99.6%).
  • Developed regression model showed strong predictive capability (R2 = 0.97).

Abstract

This study explores the application of a bioflocculant derived from poultry eggshell waste for the removal of Chlorella spp. and related contaminants from agricultural wastewater using a statistically guided experimental design. In accordance with circular bioeconomy principles, eggshell residues were repurposed as a low-cost and sustainable biomaterial for water treatment. Chlorella spp. was selected as the target microalga due to its rapid proliferation, tolerance to eutrophic environments, and frequent presence in agricultural effluents. A two-level factorial design with center points was applied to evaluate the individual and interactive effects of key operational parameters, including pH, temperature, initial biomass concentration, and bioflocculant dosage. The highest biomass removal efficiency (94%) was achieved at pH 10, a temperature of 18.5 °C, a bioflocculant dose of 100 mg L−1, and an initial biomass concentration of approximately 3.76 × 107 cells mL−1, with a contact time of 360 min. Under these optimized conditions, notable reductions were also observed in chemical oxygen demand (78%), nitrates (87%), phosphates (21%), and coliform bacteria (99.6%). The developed regression model exhibited strong predictive capability (R2 = 0.97), indicating high reproducibility within the investigated experimental conditions. Overall, the findings suggest that eggshell-derived bioflocculants may represent a promising alternative to conventional chemical flocculants for agricultural wastewater treatment. High removal efficiency was achieved at relatively low dosages under operational conditions, supporting the potential of this approach for improving microalgae harvesting and the wastewater treatment processes.

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Cite This Study

Guzmán et al. (2026) studied this question.

synapsesocial.com/papers/6a1bd12d5783ba022b6fcc7chttps://doi.org/10.3390/w18111311
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