Rapid Concentration and Detection of E. Coli in Liquid Samples

液体样品中大肠杆菌的快速浓缩和检测

基本信息

  • 批准号:
    8058291
  • 负责人:
  • 金额:
    $ 15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-09-19 至 2012-07-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): A rapid method for concentrating bacteria from real apple juice and spinach wash water into a small volume, which is easily analyzed by advanced detectors, will enable rapid detection of small numbers of bacteria and provide for improved consumer safety and reduced product recalls. The system will enable the detection of bacteria in these food and beverage systems in minutes rather than days. PUBLIC HEALTH RELEVANCE: A rapid method for concentrating bacteria from real apple juice and spinach wash water into a small volume, which is easily analyzed by advanced detectors, will enable rapid detection of small numbers of bacteria; and, in turn will provide for improved consumer safety and reduced product recalls. InnovaPrep proposes development of such a system by modifying the InnovaPrep concentrator that was originally developed for the Biodefense industry. The system will enable the detection of bacteria in these food and beverage systems in minutes rather than days.
描述(由申请人提供):一种用于将来自真实的苹果汁和菠菜洗涤水的细菌浓缩到小体积中的快速方法,该方法易于通过先进的检测器进行分析,该方法将能够快速检测少量细菌,并提供改善的消费者安全性和减少的产品召回。该系统将能够在几分钟而不是几天内检测这些食品和饮料系统中的细菌。 公共卫生相关性:一种用于将来自真实的苹果汁和菠菜洗涤水的细菌浓缩到小体积中的快速方法,其易于通过先进的检测器进行分析,这将使得能够快速检测少量细菌;并且进而将提供改善的消费者安全和减少的产品召回。InnovaPrep提出通过修改最初为生物防御工业开发的InnovaPrep浓缩器来开发这样的系统。该系统将能够在几分钟而不是几天内检测这些食品和饮料系统中的细菌。

项目成果

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会议论文数量(0)
专利数量(0)

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David S Alburty其他文献

David S Alburty的其他文献

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{{ truncateString('David S Alburty', 18)}}的其他基金

Hollow Fiber Concentrating Pipette Tip for Improved Pathogen Detection in Foods
用于改进食品中病原体检测的中空纤维浓缩移液器吸头
  • 批准号:
    8592864
  • 财政年份:
    2013
  • 资助金额:
    $ 15万
  • 项目类别:
Hollow Fiber Concentrating Pipette Tip for Improved Pathogen Detection in Foods
用于改进食品中病原体检测的中空纤维浓缩移液器吸头
  • 批准号:
    8727299
  • 财政年份:
    2013
  • 资助金额:
    $ 15万
  • 项目类别:

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