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Collection methods for early detection of airborne viruses

Collection methods for early detection of airborne viruses
早期检测空气传播病毒的采集方法
批准号:
2446834
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金额:
$0.0万
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依托单位国家:
英国
项目类别:
Studentship
财政年份:
2020
资助国家:
英国
项目状态:
未结题
起止时间:
2020 至 --

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The real-time (RT) detection of bioaerosols has become extremely important in both military and civilian infrastructure. Biological warfare is posed to be an increasingly tangible threat for the future, with aerosol dissemination being identified as a mode of transmission (Franz et al.,1997). Thus, there is prerogative from national defence agencies to create aerosol detection technologies that are rapid, efficient and specific in identification of agent (Santl-Temklv et al.,2019; Huffman and Ratnesar-Shumate, 2020). There is a much wider scope for this technology with interest in the environmental and food sectors (Santl-Temklv et al.,2019). The detection of plant/animal pathogens can lead to crop devastation as well as the monitoring of potential release of bioaerosols in predefined hazardous locations (Jim Ho 2002). Lab-on-a-chip (LoC) technologies have been established to handle complications that arise from sample collection, in addition to the low concentrations of aerosolised pathogens and high customisation. (Coudron et al., 2018; Santl-Temklv et al.,2019). It has been proposed that electrowetting-on-dielectric (EWOD) based digital microfluidics (DMF) is the next generation in biological detection of aerosolised agents (Coudron et al., 2018). Aerosolised pathogens can be transmitted in a variety of modes: liquid droplets, dust particles or spores (Alsved et al., 2019; Santl-Temklv et al.,2019). The distance travelled is dependent on the size and density of the particle as larger particles will settle more rapidly compared to the smaller particles that can travel very long distances. A variety of collection methods have been developed in order to capture and analyse airborne pathogens. These include filtration or inertial/gravitational force approaches (Fronczek and Yoon 2015).
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复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data