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The optimization of microalgal culturing in liquid digestate after struvite precipitation using gray relational analysis

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Liquid digestate (LD) is highly turbid and contains ammonium (NH4+–N), which negatively influences microalgal growth. Therefore, a method of reducing LD turbidity and NH4+–N content is proposed, using struvite precipitation.… Click to show full abstract

Liquid digestate (LD) is highly turbid and contains ammonium (NH4+–N), which negatively influences microalgal growth. Therefore, a method of reducing LD turbidity and NH4+–N content is proposed, using struvite precipitation. To obtain struvite precipitation supernatant with an ideal UV transmittance, NH4+–N concentration, and N/P ratio for microalgal growth, the effects of pH and the molar ratio of NH4+/Mg2+/PO43− were studied. Results show that the optimal NH4+/Mg2+/PO43− molar ratio was 1:1.5:1.5, with a pH value of 8.5, following NaOH addition. Gray relational analysis (GRA) was applied to obtain a relative gray scale for the evaluation of multiple outputs. Results show that Chlorella regularis FACHB-1068 was the optimal microalgae species to support growth in the struvite precipitation supernatant. Using struvite precipitation and treatment with cultured C. regularis FACHB-1068 for 7 days, the removal efficiencies of NH4+–N, PO43−−P, and COD in LD were 96.52, 99.33, and 35.30%, respectively.

Keywords: gray relational; struvite precipitation; precipitation; relational analysis; liquid digestate

Journal Title: Environmental Science and Pollution Research
Year Published: 2018

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