A study of a microalgae–bacteria treatment system was conducted in a sequencing batch reactor (SBR) by combining a precultured native algae Nannochloropsis gaditana L2 with spontaneous municipal wastewater microorganisms. Two types of agitation, air mixing (AI) and mechanical mixing (MIX), were assessed at continuous illumination (L) and photoperiod cycle light/dark (L/D). The obtained consortium, via native microalgae addition, has a better operational efficiency compared to spontaneous control. This allows the removal of 78% and 53% of total Kjeldhal nitrogen (TKN) and chemical oxygen demand (COD), respectively. Under the (L/D) photoperiod, the optimal removal rate (90% of TKN and 75% of COD) was obtained by the consortium at 4 days of hydraulic retention time (HRT) using the AI mode. Moreover, during feeding during dark (D/L) photoperiod, the highest removal rate (83% TKN and 82% COD) was recorded at 4 days HRT using the AI mode. These results bring, at the scale of a bioreactor, new data regarding the mode of aeration and the feeding time. They prove the concept of such a technology, increasing the attraction of microalgae-based wastewater treatment.

中文翻译：

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微藻-细菌联合体在序批式反应器中处理废水的实时行为响应进料时间和搅拌模式

通过将预培养的天然藻类 Nannochloropsis gaditana L2 与自发的市政废水微生物相结合，在序批式反应器 (SBR) 中进行了微藻-细菌处理系统的研究。两种类型的搅拌，空气混合 (AI) 和机械混合 (MIX)，在连续照明 (L) 和光周期光/暗 (L/D) 下进行评估。与自发控制相比，通过添加天然微藻获得的聚生体具有更好的运行效率。这允许分别去除 78% 和 53% 的总凯氏氮 (TKN) 和化学需氧量 (COD)。在 (L/D) 光周期下，联合体在 4 天的水力停留时间 (HRT) 下使用 AI 模式获得了最佳去除率（TKN 的 90% 和 COD 的 75%）。此外，在黑暗 (D/L) 光周期的饲养期间，最高去除率（83% TKN 和 82% COD）记录在 4 天 HRT 时使用 AI 模式。这些结果在生物反应器的规模上带来了有关曝气模式和进料时间的新数据。他们证明了这种技术的概念，增加了基于微藻的废水处理的吸引力。