Ling Jiang, Jialin Li, Da Kang, Hui Wang and Liang Zhang*,
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引用次数: 0
Abstract
Ammonia oxidation plays a pivotal role in biological nitrogen removal from toxic petrochemical wastewater, but its microbial stability under prolonged toxic stress remains poorly understood. This study employed a membrane bioreactor with a gradient dilution approach to treat real petrochemical wastewater, demonstrating that gradual acclimation to toxicity enabled sustained ammonia removal at 0.26 ± 0.02 kg of N·m–3·d–1. Progressive dilution selectively enriched the Nitrosomonas and amo genes. However, exposure to low-diluted wastewater triggered a 68.9% reduction in ex-situ ammonia oxidation activity. Notably, Comammox Nitrospira exhibited ecological resilience under high-stress conditions, with its amoA gene abundance increasing 7.6-fold (to 1.3 × 108 copies gVSS–1) and network centrality surpassing most Nitrosomonas species. Concurrently, Nitrospira maintained a stable nxrB gene abundance and harbored genes for toxic compound degradation, enhancing their ecological versatility. As a genus member, Comammox Nitrospira might leverage these adaptive traits to gain a competitive edge in high-stress environments. These findings reveal toxicity-dependent niche partitioning between Nitrosomonas and Comammox and emphasize the need to integrate microbial community dynamics into early prediction of performance shifts for optimizing industrial wastewater treatment under fluctuating toxic loads.
期刊介绍:
ACS ES&T Engineering publishes impactful research and review articles across all realms of environmental technology and engineering, employing a rigorous peer-review process. As a specialized journal, it aims to provide an international platform for research and innovation, inviting contributions on materials technologies, processes, data analytics, and engineering systems that can effectively manage, protect, and remediate air, water, and soil quality, as well as treat wastes and recover resources.
The journal encourages research that supports informed decision-making within complex engineered systems and is grounded in mechanistic science and analytics, describing intricate environmental engineering systems. It considers papers presenting novel advancements, spanning from laboratory discovery to field-based application. However, case or demonstration studies lacking significant scientific advancements and technological innovations are not within its scope.
Contributions containing experimental and/or theoretical methods, rooted in engineering principles and integrated with knowledge from other disciplines, are welcomed.