Microbiological and Biochemical Analysis of Phosphorus Accumulating Organisms in Full Scale Wastewater Treatment Plants

大型污水处理厂中磷积累生物的微生物和生化分析

基本信息

  • 批准号:
    9909103
  • 负责人:
  • 金额:
    $ 35.37万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2000
  • 资助国家:
    美国
  • 起止时间:
    2000-01-15 至 2005-06-30
  • 项目状态:
    已结题

项目摘要

9909103 Noguera The objective of research being conducted with support by this award is to investigate the microbiology and biochemistry of phosphate removal in full-scale wastewater treatment plants as steps toward improvement in operation of biotreatment processes for enhanced removal of phosphates from wastewater. Laboratory work involves application of a technique based on differences of buoyant densities between cells of microorganisms that accumulate phosphates from those that do not accumulate them as a physical method for their separation and isolation. In this work, a procedure will be used for visualization of polyphosphate staining in combination with fluorescent hybridization to allow simultaneous identification of microorganisms and determination of their accumulations of polyphosphates. Results of laboratory-scale research will be correlated with knowledge obtained from studies of the microbial phosphorus accumulating communities of wastewater treatment plants located in Madison, Stoughton and Racine, Wisconsin. the wastewater treatment plant in Madison uses a modified UCT (University of Cape Town) biotreatment process, the Stoughton plant operates an advanced oxidation process and the Racine wastewater treatment plant uses a conventional suspended microbial growth, non-enhanced biological phosphate removal process. Results of this research are expect to relate knowledge obtained to improvement in the engineering design and operation of treatment plants and systems that utilize metabolic activities of microorganisms to remove plant nutrients from wastewater. This work is complementary to research being conducted with support from NSF Grant No. 9875642, the objective of which is to investigate the microbial ecology of nitrogen removal from wastewater by aerated-anoxic processes. ***
9909103 Noguera 在该奖项的支持下进行的研究的目的是调查全面废水处理厂中磷酸盐去除的微生物学和生物化学,作为改进生物处理工艺操作以增强废水中磷酸盐去除的步骤。 实验室工作涉及应用一种基于微生物细胞之间浮力密度差异的技术,这些微生物细胞积累磷酸盐,而那些不积累磷酸盐的微生物细胞则采用物理方法进行分离和分离。 在这项工作中,将使用一种程序将多磷酸盐染色可视化与荧光杂交相结合,以允许同时识别微生物并测定其多磷酸盐的积累。 实验室规模的研究结果将与从位于威斯康星州麦迪逊、斯托顿和拉辛的废水处理厂的微生物磷积累群落研究中获得的知识相关联。 麦迪逊废水处理厂采用改良的UCT(开普敦大学)生物处理工艺,斯托顿工厂采用高级氧化工艺,拉辛废水处理厂采用传统的悬浮微生物生长、非强化生物除磷工艺。 这项研究的结果预计将获得的知识与处理厂和系统的工程设计和运行的改进联系起来,这些处理厂和系统利用微生物的代谢活动从废水中去除植物营养物质。 这项工作是对在 NSF 拨款号 9875642 的支持下进行的研究的补充,该研究的目的是研究通过曝气缺氧过程从废水中去除氮的微生物生态。 ***

项目成果

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Daniel Noguera其他文献

Daniel Noguera的其他文献

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{{ truncateString('Daniel Noguera', 18)}}的其他基金

Unraveling regulatory networks in biological nutrient removal (BNR) microbiomes
解开生物营养去除(BNR)微生物组中的调控网络
  • 批准号:
    1803055
  • 财政年份:
    2018
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Standard Grant
UNS: Microbial detoxification of cellulosic biomass hydrolysates by anaerobic removal and recovery of aromatic compounds
UNS:通过厌氧去除和回收芳香族化合物对纤维素生物质水解产物进行微生物解毒
  • 批准号:
    1506820
  • 财政年份:
    2015
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Standard Grant
Towards Energy Efficiency Through Low-DO Nitrification: Extending our Knowledge of Ammonia-Oxidizing Organisms
通过低溶解氧硝化提高能源效率:扩展我们对氨氧化生物的了解
  • 批准号:
    1435661
  • 财政年份:
    2014
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Standard Grant
Thermodynamic Modeling of Fluorescent In Situ Hybridization (FISH) for Environmental Applications
环境应用荧光原位杂交 (FISH) 的热力学模型
  • 批准号:
    0606894
  • 财政年份:
    2006
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Continuing Grant
Development of a Mechanistic Model of Fluorescent In Situ Hybridization (FISH) based on Equilibrium Thermodynamics
基于平衡热力学的荧光原位杂交(FISH)机理模型的建立
  • 批准号:
    0302618
  • 财政年份:
    2003
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Continuing Grant
CAREER: Microbial Ecology of Nutrient Removal in Aerated-Anoxic Processes
职业:曝气缺氧过程中营养物去除的微生物生态学
  • 批准号:
    9875642
  • 财政年份:
    1999
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Standard Grant

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