4.7 Article

Succession of functional bacteria in a denitrification desulphurisation system under mixotrophic conditions

Journal

ENVIRONMENTAL RESEARCH
Volume 188, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2020.109708

Keywords

Denitrification desulphurisation system; Influent loading; Core genera; Random forest model; Correlation network

Funding

  1. National Natural Science Foundation of China [51808166, 51608467, 51878652]
  2. China Postdoctoral Science Foundation Funded Project [2018M641832]
  3. Key Project of Chinese Academy of Sciences [ZDRW-ZS-2016-5]
  4. Guangdong Basic and Applied Basic Research Foundation [2019A1515110341]

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Large-scale use of ammonia, sulphate, and nitrate in industrial manufacturing has resulted in the generation of industrial wastewater pollutants. However, approaches to eliminate such contamination have not been extensively studied. Accordingly, in this study, we investigated the succession of bacteria under different influent loadings in a mixotrophic denitrification desulphurisation system. Four expanded granular sludge bed reactors were operated simultaneously. The sulphide loading of reactor I was 1.2 kg/m(3).day, the sulphide load of reactor II was 2.4 kg/m(3).day, and the sulphide load of reactor III was 3.6 kg/m(3).day. The molar ratio of carbon versus nitrogen in the influent under each condition was fixed at 1.26:1, and the molar ratio of sulphur versus nitrogen was fixed at 5:6; each reactor was operated for 90 days. Reactor IV was a verification reactor. The three conditions were repeated, and each condition was operated for 90 days. Middle- and late-stage samples under each condition were sequenced using a high-throughput sequencer. Azoarcus, Thauera, Arcobacter, and Pseudomonas were the core genera of the denitrification desulphurisation system under mixotrophic conditions. The genus Azoarcus was a cornerstone genus of mixotrophic conditions, as demonstrated using the random forest model and correlation network analysis.

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