Dan Li, George Wells, Wei Liu, Marvin Yeung, Lishan Niu and Jinying Xi*,
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引用次数: 0
Abstract
Recently, some research has explored the production of nitrous oxide (N2O) through biological denitrification of NO derived from flue gas under both mesophilic and thermophilic conditions. However, the effects of the NO concentration on N2O production and its optimal range for thermophilic conditions remain unclear. In this study, we explored the effects of the NO concentration on the biological conversion of NO to N2O at 45 °C using flask tests. The highest conversion efficiency from NO to N2O was 92%, with 1.3 × 105 mg/m3 N2O detected in the headspace at an initial NO concentration of 20 mM in the solution. The ratio of NO reductase to N2O reductase (NOR/N2OR) peaked at a NO concentration of 20 mM. 16S rRNA gene sequencing analysis highlighted a positive correlation between Escherichia-Shigella and Propionicicella with N2O accumulation. Metagenome analysis results further indicate that Escherichia possesses norVWR genes but not nos genes, enabling conversion of NO to N2O rather than N2, which is distinct from the typical denitrifying genes norBC. This study demonstrated that the optimal NO concentration range is 10–20 mM under thermophilic conditions and identified a unique denitrifier with special functional genes that contribute to N2O accumulation. These findings could deepen our understanding of the mechanism of biological conversion from NO to N2O and help to develop a biological N2O production process for flue gas emission control and reclamation.
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.