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  • 标题:Quantitative Dynamics of Chosen Bacteria Phylla in Wastewater Treatment Plants Excess Sludge After Ozone Treatment
  • 本地全文:下载
  • 作者:Lukasz Jurczyk ; Justyna Koc-Jurczyk ; Maciej Balawejder
  • 期刊名称:Inżynieria Ekologiczna
  • 印刷版ISSN:2081-139X
  • 电子版ISSN:2392-0629
  • 出版年度:2019
  • 卷号:20
  • 期号:3
  • 页码:204-213
  • DOI:10.12911/22998993/99784
  • 出版社:Polish Society of Ecological Engineering (PTIE)
  • 摘要:Among the waste produced by municipal wastewater treatment plants, the largest technological problem cause the excessive sludge, and its management consumes almost half of the costs of the entire installation.Regardless of the final disposal route, which may be, for example, reclamation of degraded areas, wastewater plant derived sludge should be firstly subjected to a series of processes aimed at: reducing its volume, improving selected physical properties, energy recovery, rot preventing (stabilization) or elimination of epidemiological threats (hygenizing).These goals could be implemented using commonly known technologies, including: dewatering, liming, thermoconditioning, methanogenesis or composting.One of the alternative solutions is the use of ozonation of raw excess sludge, which, in principle, may lead to the simultaneous resolution of several above mentioned problems as: drainage properties improvement, increase the bioavailability of organic matter for biogas production, as well as the removal of undesirable microorganisms.Confirmation of the hygenizing effects usually requires arduous microbiological methods, that's the fast and reliable tools of molecular biology could prove its usefulness in this case.In this study, the possibility of determining the dynamics of selected groups of microorganisms (including changes in total bacteria amount, Proteobacteria, Bacteroidetes, Firmicutes and Actinobacteria) after sewage sludge ozonation, by using the semi-quantitative RealTime polymerase chain reaction (qPCR), has been investigated.
  • 关键词:ozone treatment ; excessive sludge ; RealTime qPCR ; sludge microbial community ; microbial quantitative dynamics
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