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

机译:混合脱硫脱硫系统功能细菌的连续

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摘要

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~3day, 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.
机译:在工业制造业中大规模使用氨,硫酸盐和硝酸盐导致了工业废水污染物的产生。然而,除了消除这种污染的方法尚未得到广泛研究。因此,在本研究中,我们研究了混合脱氧脱硫系统中不同流入载体下细菌的连续。同时操作四个膨胀的颗粒污泥床反应器。反应器I的硫化物负载是1.2kg / m〜3·日,反应器Ⅱ的硫化物载荷为2.4 kg / m〜3天,反应器Ⅲ的硫化物载荷为3.6kg / m〜3·日。在每种条件下,在每个条件下,在每个条件下的碳与氮气的摩尔比固定在1.26:1,硫与氮的摩尔比固定在5:6;每个反应器操作90天。反应器ⅳ是验证反应器。重复三种条件,每种条件运行90天。使用高通量序列仪测序每个条件下的中间和后期样品。 Azoarcus,Thauera,Arcobacter和假单胞菌是在混合营养条件下脱氮脱硫系统的核心属。除了使用随机森林模型和相关网络分析的说明,Azoarcus属是混合营养条件的基石属。

著录项

  • 来源
    《Environmental research》 |2020年第9期|109708.1-109708.6|共6页
  • 作者单位

    Research Center for Eco-environmental Engineering Dongguan University of Technology Dongguan 523808 China;

    State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin 150090 China;

    State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin 150090 China;

    Department of Earth and Environmental Science School of Human Settlements and Civil Engineering Xi'an Jiaotong University Xi'an 710049 China;

    Research Center for Eco-environmental Engineering Dongguan University of Technology Dongguan 523808 China;

    State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin 150090 China Key Laboratory of Environmental Biotechnology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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

    机译:反硝化脱硫系统;流水负荷;核心属;随机森林模型;相关网络;

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