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Development of field deployable technologies for improved health and environmental outcomes

Development of field deployable technologies for improved health and environmental outcomes
开发可现场部署的技术以改善健康和环境成果
批准号:
RGPIN-2015-05329
负责人:
Sullivan, Pierre
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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英文摘要
Diagnostic testing will continue to play a key role in the eradication of obesity and is central to determining the effectiveness of treatment strategies. The proposed device will perform an immunoassay capable of detecting biomarkers for obesity, e.g., CRP, IL-6 fibrinogen and TNF-alpha. It will use a novel droplet based microfluidic system and the immunochemistry will take place on the surface of microspheres held in solution. Surface tension forces will be used to manipulate nanolitre sized droplets by applying asymmetric electric fields. This technique can successfully control biological fluids such as whole blood and urine and eliminate complex components like channels or pumps. This straightforward geometry reduces fabrication costs and makes it easier to incorporate multiple reagents. By having the immunochemistry occur on particles in solution, the device can be easily adapted to detect biomarkers for various diseases by changing the reagents. This will ensure excellent selectivity and sensitivity with fast feedback. The long term goal of this proposal is to fully quantify protein suspension behaviour in electrosprays and digital microfluidic devices towards the goal of a portable, point-of-care diagnostic test for obesity treatment monitoring using a miniaturized, microfluidic-based DMF on dielectric device coupled with high-resolution IMS.
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Improving aerodynamic control strategies for low Reynolds number airfoils
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  • 项目类别:
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国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
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    2024
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基于慧眼-HXMT宽能段观测的X射线吸积脉冲星磁场研究
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Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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