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Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
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[Microbiological Characteristics of a Post Solid-Phase Denitrification Biofilter Process].

Qian Zhang1, Fang-Ying Ji2, Xuan Xu2

  • 1School of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China.

Huan Jing Ke Xue= Huanjing Kexue
|July 3, 2018
PubMed
Summary
This summary is machine-generated.

A novel wastewater treatment process improves nitrogen removal efficiency using coagulation sedimentation and a post solid-phase denitrification biofilter. This method enhances microbial diversity and identifies key nitrifying and denitrifying bacteria for effective treatment.

Keywords:
PCR-DGGEbiological filtermicrobial communitypost solid-phase denitrificationsolid carbon source

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Area of Science:

  • Environmental Science
  • Microbiology
  • Water Treatment Engineering

Background:

  • Conventional low carbon-to-nitrogen ratio wastewater treatment processes face challenges with high energy consumption, process complexity, and low nitrogen removal efficiency.
  • Effective nitrogen removal is crucial for preventing eutrophication and protecting aquatic ecosystems.

Purpose of the Study:

  • To introduce and evaluate a novel coagulation sedimentation/post solid-phase denitrification biofilter process for treating low carbon-to-nitrogen ratio domestic wastewater.
  • To investigate the microbial community structure and identify functional bacteria within the biofilters using PCR-DGGE.

Main Methods:

  • A novel coagulation sedimentation/post solid-phase denitrification biofilter system was designed and implemented.
  • Polymerase chain reaction denaturing gradient gel electrophoresis (PCR-DGGE) was employed to analyze microbial community structure and identify bacteria.
  • Microbial diversity, richness, and population distribution were assessed along the nitrification and denitrification biofilters.

Main Results:

  • Microbial diversity and richness increased from bottom to top in the nitrification filter.
  • In the denitrification filter, microbial diversity and richness initially increased then decreased from bottom to top.
  • Predominant nitrifying bacteria identified were *Nitrosomonas* sp. Nm47 and *Candidatus Nitrospira defluvii*, while *Myxobacteria* and *Rubrivivas gelatinosus* were dominant denitrifying bacteria.

Conclusions:

  • The proposed coagulation sedimentation/post solid-phase denitrification biofilter process offers an effective solution for nitrogen removal from low carbon-to-nitrogen ratio wastewater.
  • The study identified key nitrifying and denitrifying bacterial populations crucial for the biofilter's performance.
  • This approach presents a promising alternative to conventional methods, potentially reducing energy consumption and improving treatment efficiency.