An Early-warning Surveillance System for Airborne COVID-19 Viruses
An Early-warning Surveillance System for Airborne COVID-19 Viruses
批准号:
554505-2020
负责人:
Chen, Jie
金额:
$3.64万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31
中文摘要
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英文摘要
COVID-19 is an infectious disease. Airborne viruses released from COVID-19 patients are responsible for the rapid spread of the disease. We might have to live with COVID-19 for months before we can find an effective vaccine. In the worst scenario, a safe and effective vaccine may never be found and we must live with the virus (like the AIDS-HIV virus). Therefore, early detection of the presence of the airborne COVID-19 virus in public places (e.g., schools, shopping centers, stadiums, etc.) is critical for preventing COVID-19 spreading. The technical challenge is to develop a portable device that can be easily deployed onsite to detect and quantify a minuscule quantity of COVID-19 virus in the air. Over the past 7 years, we have successfully designed a lab-on-chip (LOC) surveillance biosensor to monitor airborne spores that can impact canola and wheat. The sensing Internet-of-Things (IoT) devices are linked via ad-hoc sensing networks to warn farmers early. In this NSERC grant, we will extend our design by incorporating anti-COVID-19 monoclonal antibodies as probes to selectively capture the COVID-19 viruses and sense their presence with an integrated Coulter counter device. The goal is to directly and unambiguously correlate the number of COVID-19 viruses on the sensor surface with the impedance measurements of the countering system. The proposed early-warning technology is crucial for Canadians and the Canadian economy. This technology can help small Canadian enterprises, like Hidaca Ltd., to develop new products. This research will also position the University of Alberta as a leading institute in advancing new opportunities and applications in healthcare biotechnologies.
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资助金额:$3.64万
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资助金额:$2.62万
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Probabilistic-based Ultra-Low Supply Voltage Noise-Tolerant Circuits and Systems Design
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Probabilistic-based Ultra-Low Supply Voltage Noise-Tolerant Circuits and Systems Design
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.62万
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依托单位:
Probabilistic-based Ultra-Low Supply Voltage Noise-Tolerant Circuits and Systems Design
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依托单位:
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批准号:483063-2015
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财政年份:2014
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Making water soluble fish oil products by applying nanotechnology
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