Multi-omics reveals mechanism of hydroxylamine-enhanced ultimate nitrogen removal in pilot-scale anaerobic/aerobic/anoxic system

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-04-15 Epub Date: 2025-01-05 DOI:10.1016/j.watres.2025.123101
You Wu, Hanbin Wang, Liang Zhang, Wei Zeng, Yongzhen Peng
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Abstract

Hydroxylamine (HA) dosing is an effective strategy for promoting partial nitrification (PN); however, its impact on endogenous denitrification remains underexplored. In this study, long-term continuous HA dosing (1.4 mg/L) was introduced for over 110 days in a pilot-scale anaerobic/aerobic/anoxic (AOA) system treating municipal wastewater (66.7–75 m3/d). The HA dosing significantly increased the nitrite accumulation ratio to 67.6 ± 5.0 % (p<0.001) and reduced the effluent total inorganic nitrogen concentration from 6.2 ± 2.0 to 2.4 ± 1.1 mg/L (p<0.001), achieving a nitrogen removal efficiency of 87.4 ± 4.5 % (p<0.001) at a hydraulic retention time of 8 h. During the HA dosing, aerobic nitrogen removal contribution increased from 2.4 ± 3.4 % to 25.8 ± 8.1 % (p<0.001), and the anoxic nitrogen removal rate improved from 1.63 ± 0.11 to 2.35 ± 0.13 mg N/(L·h) (p<0.001). Enhanced nitrogen removal was not only achieved through the rapid establishment of PN but also driven by the long-term impact of HA dosing on microbial community dynamics. Multi-omics analyses revealed that HA disrupted the polyphosphate (poly-P) cycle, evidenced by enhanced transcription of ppx (poly-P degradation) and suppressed ppk (poly-P synthesis), thereby reducing energy availability for phosphate-accumulating organisms (PAOs) and shifting the carbon source competition toward glycogen-accumulating organisms (GAOs), with Ca. Competibacter abundance increased from 0.16 % to 1.13 % (p < 0.001). The economic analysis demonstrated that HA reduced sludge production by 11.2 % and saved operating costs by 31.4–42.8 % compared to conventional carbon sources. These findings highlight the potential of HA dosing to achieve sustainable and highly efficient wastewater treatment.

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多组学揭示了中试厌氧/好氧/缺氧系统中羟胺增强最终氮去除的机制
羟胺(HA)的剂量是促进部分硝化(PN)的有效策略;然而,其对内源性反硝化作用的影响仍未得到充分研究。在这项研究中,在一个中试规模的厌氧/好氧/缺氧(AOA)系统中,长期连续添加(1.4 mg/L) HA,处理城市污水(66.7-75 m3/d)超过110天。HA的投加显著提高了亚硝酸盐的积累率,达到67.6±5.0 % (p<0.001),将出水总无机氮浓度从6.2±2.0 mg/L降低到2.4±1.1 mg/L (p<0.001),在水力停留时间为8小时的情况下,脱氮效率为87.4±4.5% (p<0.001)。添加HA后,好氧氮去除率从2.4±3.4%提高到25.8±8.1% (p<0.001),缺氧氮去除率从1.63±0.11 mg N/(L·h)提高到2.35±0.13 mg N/(L·h) (p<0.001)。氮的强化除氮不仅是通过快速建立PN实现的,而且是由HA剂量对微生物群落动态的长期影响所驱动的。多组学分析表明,透明质酸破坏了多磷酸盐(多磷)循环,通过增强ppx(多磷降解)转录和抑制ppk(多磷合成)来证明,从而降低了磷酸盐积累生物(PAOs)的能量利用率,并将碳源竞争转向糖原积累生物(GAOs), Ca竞争菌丰度从0.16%增加到1.13% (p <;0.001)。经济分析表明,与传统碳源相比,HA减少了11.2%的污泥产量,节省了31.4-42.8%的运营成本。这些发现突出了HA加药在实现可持续和高效废水处理方面的潜力。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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