Research progress of novel bio-denitrification technology in deep wastewater treatment

Huang, Shan; Fu, Yuling; Zhang, Huimin; Wang, Chuqiao; Zou, Chenglong; Lu, Xiuguo

doi:10.3389/fmicb.2023.1284369

Cited by 4 publications

(1 citation statement)

References 99 publications

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“…LA11, which was isolated from the gut of the abalone Haliotis discus, has the complete repertoire genes for nitrogen fixation and denitrification [56]. Pseudoalteromonas denitrificans DSM 6059, a denitrifying marine bacterium [57], has the same denitrifying enzymes pattern as Arcobacter sp. LA11 (Figure 7c).…”

Section: Denitrification Potential Categorization Of Bacterial Genera...mentioning

confidence: 99%

Ecological Trait-Based Digital Categorization of Microbial Genomes for Denitrification Potential

Isokpehi,

Kim,

Krejci

et al. 2024

Microorganisms

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Microorganisms encode proteins that function in the transformations of useful and harmful nitrogenous compounds in the global nitrogen cycle. The major transformations in the nitrogen cycle are nitrogen fixation, nitrification, denitrification, anaerobic ammonium oxidation, and ammonification. The focus of this report is the complex biogeochemical process of denitrification, which, in the complete form, consists of a series of four enzyme-catalyzed reduction reactions that transforms nitrate to nitrogen gas. Denitrification is a microbial strain-level ecological trait (characteristic), and denitrification potential (functional performance) can be inferred from trait rules that rely on the presence or absence of genes for denitrifying enzymes in microbial genomes. Despite the global significance of denitrification and associated large-scale genomic and scholarly data sources, there is lack of datasets and interactive computational tools for investigating microbial genomes according to denitrification trait rules. Therefore, our goal is to categorize archaeal and bacterial genomes by denitrification potential based on denitrification traits defined by rules of enzyme involvement in the denitrification reduction steps. We report the integration of datasets on genome, taxonomic lineage, ecosystem, and denitrifying enzymes to provide data investigations context for the denitrification potential of microbial strains. We constructed an ecosystem and taxonomic annotated denitrification potential dataset of 62,624 microbial genomes (866 archaea and 61,758 bacteria) that encode at least one of the twelve denitrifying enzymes in the four-step canonical denitrification pathway. Our four-digit binary-coding scheme categorized the microbial genomes to one of sixteen denitrification traits including complete denitrification traits assigned to 3280 genomes from 260 bacteria genera. The bacterial strains with complete denitrification potential pattern included Arcobacteraceae strains isolated or detected in diverse ecosystems including aquatic, human, plant, and Mollusca (shellfish). The dataset on microbial denitrification potential and associated interactive data investigations tools can serve as research resources for understanding the biochemical, molecular, and physiological aspects of microbial denitrification, among others. The microbial denitrification data resources produced in our research can also be useful for identifying microbial strains for synthetic denitrifying communities.

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Section: Denitrification Potential Categorization Of Bacterial Genera...mentioning

confidence: 99%

Ecological Trait-Based Digital Categorization of Microbial Genomes for Denitrification Potential

Isokpehi,

Kim,

Krejci

et al. 2024

Microorganisms

View full text Add to dashboard Cite

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Synergistic effect of reinforced cellulose nanofibrils/polyethylene glycol embedded particles in ammonia nitrogen wastewater: An in-depth microbial denitrification analysis

Zhou,

Tabassum,

et al. 2024

Journal of Water Process Engineering

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Highly efficient metal-free nitrate reduction enabled by electrified membrane filtration

Fan,

Wang,

Butler

et al. 2024

Nat Water

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Current methods for electrocatalytic destruction of nitrate in drinking water require metal catalysts to achieve sufficient nitrate removal. However, metal-based catalysts involve complicated synthesis, increase treatment costs, and can lead to leaching of metals into treated water. In this study, we achieved nitrate reduction performance comparable to that of metal-based catalysts via electrofiltration through a metal-free nanoporous electrified membrane (EM) containing unmodified pristine carbon nanotubes (CNTs). Experimental results coupled with computational fluid dynamics simulations elucidated how the decreased diffusion boundary layer in the flow-through CNT-EM mitigates diffusion limitations to enhance overall reaction activity. A maximum single-pass removal efficiency of 86.9% was reached for an initial nitrate concentration of 10 mM when the mass transport rate matched the reaction rate. Through density functional theory and molecular dynamics calculations, we demonstrated enhanced *NO2 and *NO adsorption energies at intrinsic defect sites, which are present in most commercial CNTs and become more accessible to nitrate ions under flow-through operation. Finally, the longterm stability, tolerance of environmental interferences, and sufficient nitrate removal and N2 selectivity to meet drinking water standards were demonstrated in synthetic surface water. By elucidating how nanoporous electrofiltration enables dynamic matching of reaction and transport rates, this study demonstrates a new strategy to drastically improve electrocatalytic reaction performance without complex catalyst materials innovation, bridging existing gaps for nitrate removal in drinking water treatment related to the use of metalbased catalysts.

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Research progress of novel bio-denitrification technology in deep wastewater treatment

Cited by 4 publications

References 99 publications

Ecological Trait-Based Digital Categorization of Microbial Genomes for Denitrification Potential

Ecological Trait-Based Digital Categorization of Microbial Genomes for Denitrification Potential

Synergistic effect of reinforced cellulose nanofibrils/polyethylene glycol embedded particles in ammonia nitrogen wastewater: An in-depth microbial denitrification analysis

Highly efficient metal-free nitrate reduction enabled by electrified membrane filtration

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