The combination of nanobubble aeration and iron-based multi-carbon source composites achieves efficient aquaculture wastewater nitrogen removal

文献类型： 外文期刊

第一作者： Lu, Zhuoyin

作者： Lu, Zhuoyin;Zhu, Dantong;Cheng, Xiangju;Xie, Jun;Li, Xiangyang;Jiang, Xiaotian;Li, Xiangyang

作者机构：

关键词： Aquaculture wastewater; Aerobic denitrification; Nanobubble aeration; Iron -based multi -carbon source composites; Metagenomes

期刊名称：CHEMICAL ENGINEERING JOURNAL （ 影响因子：15.1； 五年影响因子：14.3 ）

ISSN： 1385-8947

年卷期： 2024 年 491 卷

页码：

收录情况： SCI

摘要： The primary constraints for efficient nitrogen removal in aquaculture ponds by indigenous aerobic denitrifiers are oxygen depletion in sediment and the shortage of electron donors. This study innovatively combined nanobubble aeration with iron -based multi -carbon source composites to stimulate aerobic denitrifiers, significantly improving the sediment 's oxygen level and supplementing the electron donors of the system. Compared with the systems that incorporated multi -carbon source composites (MCSC) or iron -based multi -carbon source composites (IMCSC) under diffused air aeration conditions, the system that employed nanobubble aeration and iron -based multi -carbon source composites (NIMCSC) demonstrated an increase in total nitrogen (TN) elimination rate by 14.07% and 7.46%, respectively, reaching 89.75%. Microbial community analysis revealed that the NIMCSC system enriched the mixotrophic aerobic denitrifiers and fostered a symbiotic relationship among the bacterial communities. Moreover, compared with the MCSC and IMCSC systems, the NIMCSC system highlighted a significant increase in the average abundance of key indigenous aerobic denitrifiers. Meanwhile, the production and transfer process of electrons were stimulated, providing more energy and electron donors and assisting various abundant key functional enzymes to achieve efficient mixotrophic aerobic denitrification in the NIMCSC system. This study presented a novel approach to achieve efficient aquaculture wastewater nitrogen removal.

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