Performance and microbial consortium structure in simultaneous removal of sulfur and nitrogen compounds under micro-oxygenated condition View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11-26

AUTHORS

P. Charoensuk, W. Thongnueakhaeng, P. Chaiprasert

ABSTRACT

Effects of COD/SO42− and SO42−/NH4+ ratios on simultaneous removal of sulfate- and ammonium-rich synthetic wastewaters were investigated under micro-oxygenated condition (dissolved oxygen concentration at 0.10–0.15 mg/L). Lactate was served as carbon source to generate COD/SO42− ratios of 2.0, 2.5, 3.0 3.5 and 4.0. The batch experimental results indicated that the highest sulfate (72.1%) and ammonium (62.8%) removal efficiencies could be reached at COD/SO42− ratio of 4.0. The main metabolic products were elemental sulfur (0.63 g S0/g SO42−–Sadded) and nitrogen gas (0.57 g N2/g NH4+–Nadded). Subsequently, various SO42−/NH4+ ratios (0.5, 1.0, 1.5, 2.0 and 2.5) were performed at controlled COD/SO42− ratio of 4.0. The highest SO42−/NH4+ ratio of 2.5 provided 76.6 and 72.8% sulfate and ammonium removal efficiencies, respectively, and also reached the highest yield of elemental sulfur and nitrogen gas of 0.68 g S0/g SO42−–Sadded and 0.66 g N2/g NH4+–Nadded, respectively. Microbial consortium structure providing the highest removal efficiencies was consequently analyzed using Illumina sequencing and polymerase chain reaction-denaturing gradient gel electrophoresis approaches. Taxonomic assignments demonstrated that Proteobacteria (46%), Firmicutes (15%), and Bacteroidetes (14%) were the most abundant phyla. Almost core genera analysis with two distinguished approaches demonstrated similar results. Aside from microbial community analysis, quantitative real-time polymerase chain reaction was used to validate existing abundance of aforementioned seven dominant microorganisms. The nitrous oxide reductase gene was shown the most abundance (~ 108 copies/µL) which plays a crucial role for simultaneous removal of sulfur and nitrogen compounds. More... »

PAGES

1-16

References to SciGraph publications

  • 2016-02. Denitrifying sulfide removal process on high-salinity wastewaters in the presence of Halomonas sp. in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2013-10. Reduction of Net Sulfide Production Rate by Nitrate in Wastewater Bioreactors. Kinetics and Changes in the Microbial Community in WATER, AIR, & SOIL POLLUTION
  • 2011-08. Ammonia-oxidizing archaea and ammonia-oxidizing bacteria in six full-scale wastewater treatment bioreactors in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2014-10. Microbial community analysis for aerobic granular sludge reactor treating high-level 4-chloroaniline wastewater in INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • 2013-07. Microbial community dynamics in the two-stage anaerobic digestion process of two-phase olive mill residue in INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • 2014-03. Isolation and characterization of a novel heterotrophic nitrifying and aerobic denitrifying bacterium Pseudomonas stutzeri KTB for bioremediation of wastewater in BIOTECHNOLOGY AND BIOPROCESS ENGINEERING
  • 2006-04. Deciphering the evolution and metabolism of an anammox bacterium from a community genome in NATURE
  • 2005-01. Effects of free ammonia and dissolved oxygen on nitrification and nitrite accumulation in a biofilm airlift reactor in KOREAN JOURNAL OF CHEMICAL ENGINEERING
  • 2017-04. Identification of diverse bacterial communities for potential bio-aids capable of troubleshooting for wastewater biological treatment processes in INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • 2002-12. Cultivation-based and molecular approaches to characterisation of terrestrial and aquatic nitrifiers in ANTONIE VAN LEEUWENHOEK
  • 2011-03. Bacteria and archaea involved in anaerobic digestion of distillers grains with solubles in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2014. The Family Rhodocyclaceae in THE PROKARYOTES
  • 2014-04. Characterization of Bacterial Communities in Sediments Receiving Various Wastewater Effluents with High-Throughput Sequencing Analysis in MICROBIAL ECOLOGY
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    DOI

    http://dx.doi.org/10.1007/s13762-018-2132-x

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    https://app.dimensions.ai/details/publication/pub.1110203659


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