This study describes an integrated granular sludge and fixed-biofilm (iGB) reactor innovatively designed to carry out the anammox/partial-denitrification (A/PD) process for nitrogen removal with mainstream municipal wastewater. The iGB-A/PD reactor consists of anammox granules inoculated in the lower region of reactor and an acclimated fixed-biofilm positioned in the upper region. Compared to the other reported A/PD systems for mainstream wastewater treatment, this iGB-A/PD reactor is notable due to its higher quality effluent with a total inorganic nitrogen (TIN) of ∼3 mg•L and operation at a high nitrogen removal rate (NRR) of 0.8 ± 0.1 kg-N•m•d. Reads-based metatranscriptomic analysis found that the expression values of hzsA and hdh, key genes associated with anammox, were much higher than other functional genes on nitrogen conversion, confirming the major roles of the anammox bacteria in nitrogen bio-removal. In both regions of the reactor, the nitrate reduction genes (napA/narG) had expression values of 56-99 RPM, which were similar to that of the nitrite reduction genes (nirS/nirK). The expression reads from genes for dissimilatory nitrate reduction to ammonium (DNRA), nrfA and nirB, were unexpectedly high, and were over the half of the levels of reads from genes required for nitrate reduction. Kinetic assays confirmed that the granules had an anammox activity of 16.2 g-NH-N•kg-VSS•d and a nitrate reduction activity of 4.1 g-N•kg-VSS•d. While these values were changed to be 4.9 g- NH-N•kg-VSS•dand 4.3 g-N•kg-VSS•d respectively in the fixed-biofilm. Mass flux determination found that PD and DNRA was responsible for ∼50% and ∼25% of nitrate reduction, respectively, in the whole reactor, consistent with high effluent quality and treatment efficiency via a nitrite loop. Metagenomic binning analysis revealed that new and unidentified anammox species, affiliated with Candidatus Brocadia, were the dominant anammox organisms. Myxococcota and Planctomycetota were the principal organisms associated with the PD and DNRA processes, respectively.
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http://dx.doi.org/10.1016/j.watres.2021.117964 | DOI Listing |
ACS Appl Mater Interfaces
December 2024
Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, 214122 Jiangsu, China.
Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis of these alloys becomes increasingly challenging as the disparity between the metal elements grows, due to differences in atomic sizes, melting points, and chemical affinities. This study utilized a data-driven approach incorporating sample balancing enhancement techniques and multilayer perceptron (MLP) algorithms to improve the model's ability to handle imbalanced data, significantly boosting the efficiency of experimental parameter optimization.
View Article and Find Full Text PDFBioelectrochemistry
December 2024
School of Bioengineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353 Shandong, PR China; State Key Laboratory of Bio-based Materials and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, Shandong, PR China. Electronic address:
Sediment microbial fuel cell (SMFC) is a device for biological denitrification, in which electrons produced by sediment microorganisms can be transferred to the upper layer of the water column lacking electron donors. However, the low efficiency of denitrifying bacteria in acquiring electrons and enriching at the cathode greatly hinders the application of SMFC for nitrogen removal. In this study, we report a novel method of constructing a high-performance biocathode by modifying electrodes with zero-valent iron to enhance the enrichment and electron transfer of electroactive bacteria.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
Institute of Chemistry, Federal University of Mato Grosso do Sul, Avenida Senador Filinto Muller 1555, Campo Grande, Mato Grosso do Sul 79074-460, Brazil.
There has been huge interest among chemical scientists in the electrochemical reduction of nitrate (NO) to ammonia (NH) due to the useful application of NH in nitrogen fertilizers and fuel. To conduct such a complex reduction reaction, which involves eight electrons and eight protons, one needs to develop high-performance (and stable) electrocatalysts that favor the formation of reaction intermediates that are selective toward ammonia production. In the present study, we developed and applied CoO/graphene nanoribbon (GNR) electrocatalysts with excellent properties for the effective reduction of NO to NH, where NH yield rate of 42.
View Article and Find Full Text PDFMicrobiol Spectr
December 2024
National Center for Polar and Ocean Research, Ministry of Earth Sciences, Vasco-da-Gama, Goa, India.
Deep sea microbial communities play a significant role in global biogeochemical processes. However, the depth-wise metabolic potential of microbial communities in hydrothermally influenced Central Indian Ridge (CIR) and Southwest Indian Ridge (SWIR) remains elusive. In this study, a comprehensive functional microarray-based approach was used to understand factors influencing the metabolic potential of microbial communities and depth-driven differences in microbial functional gene composition in CIR and SWIR.
View Article and Find Full Text PDFChemphyschem
December 2024
Jilin University, Jilin University, Renmin Street, 130022, ChangChun, CHINA.
Electrochemical reduction of nitrate to ammonia (NO3RR) offers a promising strategy for renewable ammonia (NH3) synthesis and wastewater treatment, but still suffers from limited activity and NH3 selectivity due to the lack of effective electrocatalyst. Here, we perform a four-steps screening strategy to screen high performance NO3RR catalyst by density functional theory calculations using 23 single transition metals atom doped on 1T-WS2/graphene (TM@1T-WS2/graphene) as candidates. The results show that Cu@1T-WS2/graphene exhibits the highest NO3RR activity among 23 candidates with a low rate determining step energy barrier of 0.
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