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Minimal False-Alarm Touch-Based Detection of SARS-CoV-2 Virus Particles Using Poly-Aptamers

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DataCite Commons2024-05-15 更新2024-07-13 收录
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https://radxdatahub.nih.gov/study/53
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Reliable real-time detection of SARS-CoV-2 virus represents a considerable challenge, with available tools requiring extensive sample preparation and/or expensive lab-based equipment to obtain accurate results. The objective in this proposal is to build a touch-screen sensor array to directly capture, detect, and identify model SARS-CoV-2 virus particles with minimal false alarms. This ambitious goal will be achieved by the interdisciplinary team of GE Research scientists and engineers and will be a synergistic combination of the proposed innovations and the prior scientific and engineering accomplishments of the team.
提供机构:
NIH Rapid Acceleration of Diagnostics Data Hub (RADx Data Hub)
创建时间:
2024-05-15
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