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Updated: Feb 2, 2026

Biofilm Removal Using Carbon Dioxide Aerosols without Nitrogen Purge
Published on: November 6, 2016
In-Situ sulfur implantation efficiently promoting nitrogen removal in low-carbon anoxic-oxic systems
Jia-Min Xu1, Miao Gu1, Yi-Fan Zhang2
1State Key Laboratory of Urban Water Resources and Environment, School of Eco-Environmental Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, 518055, China.
None:
Efficient total nitrogen (TN) removal from low-carbon wastewater remains challenging due to electron donor scarcity, often causing incomplete denitrification and nitrite accumulation. To address this, an in-situ sulfur-enhanced anoxic/oxic (HS0AD-A/O) system was established, enabling S0-driven electron redistribution for enhanced TN removal without additional carbon input or process restructuring. Under decreasing influent C/N ratios (4 to 2), HS0AD-A/O outperformed conventional HD-A/O by 32.76-111.16% of TN removal efficiency. Electron balance showed S0 oxidation contributed 9.21-27.59% of total electron flux, compensating for carbon deficiency. Increasing the S0 implantation ratio to 28% shifted the dominant pathway toward S0-based autotrophic denitrification, where S0-derived electrons surpassed those from COD (58.27% vs. 41.73%). Kinetic assays revealed that S0-driven denitrification preferentially reduced NO2⁻ over NO3⁻, thereby minimizing NO2⁻ accumulation and yielding a distinct S0‑saving effect (1.14-1.57 g-S0/g-N here). Microbial and transcriptional analyses further elucidated a synergistic division of labor: heterotrophic denitrifiers (e.g., Hydrogenophaga, Rhodocyclaceae) in sludge primarily reduced NO3⁻-N but tended to cause partial denitrification, whereas S0-attached autotrophs (e.g., Thiobacillus, up to 46.10% in biofilms) specialize in complete denitrification and efficiently converted NO2⁻-N to N2, accompanied by marked upregulation of nirKS and nosZ genes. Overall, in-situ S0 implantation restructured electron transfer networks, enabling stable, efficient, and dual-saving (carbon and S0) TN removal while providing mechanistic insight for scalable applications.
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