厚壁菌
蛋白质细菌
废水
人口
化学
水力停留时间
微生物种群生物学
污水处理
制浆造纸工业
食品科学
微生物学
生物
细菌
环境工程
环境科学
医学
环境卫生
工程类
遗传学
16S核糖体RNA
作者
Xiaojing Zhao,Guohua He,Baozhen Liu,Jie Liu,Yonglei Wang,Yanzhen Han,Ruibao Jia
摘要
ABSTRACT To address the treatment of pig wastewater containing high levels of organic matter, this study investigated the impact of sulfadimethoxine (SDM) on the performance and underlying mechanisms of an expanded granular sludge bed (EGSB) combined with a two‐stage anoxic/oxic (A/O) biofilm process. The reactor demonstrated robust organic loading tolerance (up to 12,195 mg/L COD) while maintaining stable treatment performance, achieving > 95% COD removal efficiency and 70%–80% ammonia nitrogen (NH 3 ‐N) elimination. Systematic analysis of sludge microstructure and microbial consortia was conducted through integrated techniques, including scanning electron microscopy (SEM) and high‐throughput sequencing. The introduction of SDM induced significant restructuring of microbial architecture and population dynamics, with Proteobacteria (21.73%–89.74%), Firmicutes (5.54%–33.53%), Chloroflexi (1.22%–23.07%), Bacteroidetes (2.48%–12.23%), and Synergistetes (15.64%–26.86%) emerging as dominant phyla. Notably, Proteobacteria and Firmicutes demonstrated superior resistance under the reaction process. Concurrently, microbial analysis revealed a significant enrichment of nitrogen‐phosphorus‐removing genera Acinetobacter and Pseudomonas during the reaction process, establishing that these bacterial taxa play a central role in the biodegradation of organic pollutants. Therefore, the microorganisms exhibited adaptability to high‐load antibiotic‐containing environments, substantiating the hybrid reactor's potential for livestock and poultry breeding wastewater treatment. Summary The presence of antibiotics reduces the removal of conventional pollutants by the combined process. Antibiotics cause changes in microbial population structure. EGSB–two–stage A/O combination process can effectively treat high organic load wastewater.
科研通智能强力驱动
Strongly Powered by AbleSci AI