Efficient autotrophic denitrification performance through integrating the bio-oxidation of Fe(II) and Mn(II)

Luo, Xianxin; Su, Junfeng; Shao, Ping; Liu, Han; Luo, Xubiao

doi:10.1016/j.cej.2018.05.021

Cited by 53 publications

(6 citation statements)

References 42 publications

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“…In the treatments with organic matter addition at low and high concentrations, the denitrifying microorganisms were mainly Pseudomonas with a small number of other heterotrophic/autotrophic denitrifying microorganisms. In the A24 treatment, the most dominant bacterium was Pseudomonas (60.82%), a widely studied heterotrophic denitrifier [ 80 , 81 ]. In recent years, this bacterium has also been found to play a vital role in manganese autotrophic denitrification, iron autotrophic denitrification [ 81 ], heterotrophic/sulfur autotrophic denitrification [ 58 ], and bioelectrochemical denitrification [ 48 ].…”

Section: Resultsmentioning

confidence: 99%

“…In the A24 treatment, the most dominant bacterium was Pseudomonas (60.82%), a widely studied heterotrophic denitrifier [ 80 , 81 ]. In recent years, this bacterium has also been found to play a vital role in manganese autotrophic denitrification, iron autotrophic denitrification [ 81 ], heterotrophic/sulfur autotrophic denitrification [ 58 ], and bioelectrochemical denitrification [ 48 ]. Other dominant genera (relative abundance > 3%) were Ramlibacter (11.75%), Magnetospirillum (5.65%), and Azospirillum (5.47%).…”

Section: Resultsmentioning

confidence: 99%

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Pyrite-Based Autotrophic Denitrifying Microorganisms Derived from Paddy Soils: Effects of Organic Co-Substrate Addition

Yang

et al. 2022

IJERPH

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The presence of organic co-substrate in groundwater and soils is inevitable, and much remains to be learned about the roles of organic co-substrates during pyrite-based denitrification. Herein, an organic co-substrate (acetate) was added to a pyrite-based denitrification system, and the impact of the organic co-substrate on the performance and bacterial community of pyrite-based denitrification processes was evaluated. The addition of organic co-substrate at concentrations higher than 48 mg L−1 inhibited pyrite-based autotrophic denitrification, as no sulfate was produced in treatments with high organic co-substrate addition. In contrast, both competition and promotion effects on pyrite-based autotrophic denitrification occurred with organic co-substrate addition at concentrations of 24 and 48 mg L−1. The subsequent validation experiments suggested that competition had a greater influence than promotion when organic co-substrate was added, even at a low concentration. Thiobacillus, a common chemolithoautotrophic sulfur-oxidizing denitrifier, dominated the system with a relative abundance of 13.04% when pyrite served as the sole electron donor. With the addition of organic co-substrate, Pseudomonas became the dominant genus, with 60.82%, 61.34%, 70.37%, 73.44%, and 35.46% abundance at organic matter concentrations of 24, 48, 120, 240, and 480 mg L−1, respectively. These findings provide an important theoretical basis for the cultivation of pyrite-based autotrophic denitrifying microorganisms for nitrate removal in soils and groundwater.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Pyrite-Based Autotrophic Denitrifying Microorganisms Derived from Paddy Soils: Effects of Organic Co-Substrate Addition

Yang

et al. 2022

IJERPH

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“…The Mn 2+ concentration was measured by potassium periodate spectrophotometry method. 32 The surface morphology of Mn powder was observed via scanning electron microscopy (SEM, Hitachi, Japan). X-ray diffraction (XRD) patterns of samples were obtained with an X-ray diffractometer (PANalytical, Netherlands).…”

Section: Methodsmentioning

confidence: 99%

“…In other words, the higher the Mn 2+ concentration is, the more efficient the performance of Fe II (EDTA)-NO reduction will be. The Mn 2+ concentration was measured by potassium periodate spectrophotometry method . The surface morphology of Mn powder was observed via scanning electron microscopy (SEM, Hitachi, Japan).…”

Section: Methodsmentioning

confidence: 99%

Fe^II(EDTA)–NO Reduction by Mn Powder in Wet Flue Gas Denitrification Technology Coupled with Mn²⁺ Recycling: Performance, Kinetics, and Mechanism

Chen

Hrynsphan³

et al. 2020

Energy Fuels

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Fe II (EDTA) solution has been considered an efficient option in wet flue gas denitrification, whereas the generated Fe II (EDTA)−NO restricts its wide application, suggesting that Fe II (EDTA)−NO reduction is the key to this process. This work investigated the performance, kinetics, and mechanism of Fe II (EDTA)−NO reduction by Mn powder coupled with manganese ion (Mn 2+ ) recovery. We initially studied the performance of Fe II (EDTA)−NO reduction with respect to the major influencing factors (i.e., the particle size of Mn powder, initial Fe II (EDTA)−NO concentration, Mn powder concentration, stirring speed, and temperature). Shrinking core model and Arrhenius law were applied to illustrate the kinetics and mechanism between Fe II (EDTA)− NO solution and Mn powder, suggesting that the solid−liquid reaction was fitted on chemical reaction control, and the activation energy was calculated as 43.0 kJ mol −1 . The effects of main operating parameters, such as precipitant concentration, pH value, and temperature, were studied on Mn 2+ recovery. Results indicated that the pseudo-second-order model could precisely describe the kinetics of Mn 2+ recovery. Finally, according to Arrhenius and Eyring−Polanyi equations, the reaction activation energy, enthalpy of activation, and entropy of activation for Mn 2+ recovery were calculated as 17.25 kJ mol −1 , 14.55 kJ mol −1 , and 252.07 J (k mol) −1 , respectively.

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“…played key roles in determining metallic quota among different phases [8]. Autotrophic denitrification of nitrate by Fe (II) and Mn (II) oxidations happened under nitrate reductase gene and Mn(II)-oxide gene, with the result that nitrate was almost turned into N 2 , 43% of Mn(II) and 100% of Fe(II) were oxidized simultaneously [9]. The bound phase and distributions of different metal species in various aquatic environments differed from each other.…”

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confidence: 99%

Spatial Variations of Trace Metals and Their Complexation Behavior with DOM in the Water of Dianchi Lake, China

Xiao

Mostofa

et al. 2019

IJERPH

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The dynamics of trace metals and the complexation behavior related to organic matter in the interface between water and sediment would influence water quality and evolution in the lake system. This study characterized the distribution of trace metals and the optical properties of dissolved organic matter (DOM) on the surface, and the underlying and pore water of Dianchi Lake (DC) to understand the origin of metals and complexation mechanisms to DOM. Some species of trace metals were detected and Al, Ti, Fe, Zn, Sr and Ba were found to be the main types of metals in the aquatic environment of DC. Ti, Fe, Sr and Ba predominated in water above the depositional layer. Al, Ti, Fe and Sr were the most abundant metallic types in pore water. Mn and Zn were the main type found at the southern lake site, reflecting the contribution of pollution from an inflowing river. The correlations between DOM and metals suggested that both originated from the major source as particulate organic matter (POM), associated with weathering of Ca-, Mg-carbonate detritus and Fe- or Mn-bearing minerals. High dynamics of DOM and hydrochemical conditions would change most metal contents and speciation in different water compartments. Proportions of trace metals in dissolved organic carbon (DOC) in natural waters were correlated with both DOM molecular weight and structure, different metals were regulated by different organic properties, and the same metal also had specific binding characteristic with DOM in various water compartments. This study highlighted the interrelation of DOM and metals, as well as the pivotal role that organic matter and nutrients played during input, migrations and transformations of metals, thereby reflecting water quality evolution in the lake systems.

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Efficient autotrophic denitrification performance through integrating the bio-oxidation of Fe(II) and Mn(II)

Cited by 53 publications

References 42 publications

Pyrite-Based Autotrophic Denitrifying Microorganisms Derived from Paddy Soils: Effects of Organic Co-Substrate Addition

Pyrite-Based Autotrophic Denitrifying Microorganisms Derived from Paddy Soils: Effects of Organic Co-Substrate Addition

Fe^II(EDTA)–NO Reduction by Mn Powder in Wet Flue Gas Denitrification Technology Coupled with Mn²⁺ Recycling: Performance, Kinetics, and Mechanism

Spatial Variations of Trace Metals and Their Complexation Behavior with DOM in the Water of Dianchi Lake, China

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Efficient autotrophic denitrification performance through integrating the bio-oxidation of Fe(II) and Mn(II)

Cited by 53 publications

References 42 publications

Pyrite-Based Autotrophic Denitrifying Microorganisms Derived from Paddy Soils: Effects of Organic Co-Substrate Addition

Pyrite-Based Autotrophic Denitrifying Microorganisms Derived from Paddy Soils: Effects of Organic Co-Substrate Addition

FeII(EDTA)–NO Reduction by Mn Powder in Wet Flue Gas Denitrification Technology Coupled with Mn2+ Recycling: Performance, Kinetics, and Mechanism

Spatial Variations of Trace Metals and Their Complexation Behavior with DOM in the Water of Dianchi Lake, China

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Fe^II(EDTA)–NO Reduction by Mn Powder in Wet Flue Gas Denitrification Technology Coupled with Mn²⁺ Recycling: Performance, Kinetics, and Mechanism