Minimal False-alarm Touch-based Detection of SARS-Cov-2 Virus Particles using Poly-aptamers
使用多适体对 SARS-Cov-2 病毒颗粒进行最小误报触摸检测
基本信息
- 批准号:10263679
- 负责人:
- 金额:$ 58.18万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-12-21 至 2022-11-30
- 项目状态:已结题
- 来源:
- 关键词:2019-nCoVAddressAffinityAreaBindingBiosensing TechniquesBiosensorBuffersCOVID-19 detectionCharacteristicsCoupledDetectionDevelopmentDevicesElectrodesElectronicsEngineeringEquipmentEventFelis catusFrequenciesGoalsHumidityImmobilizationIndividualKnowledgeLengthLibrariesLinkLiquid substanceMethodologyMethodsModelingMonitorNoiseNucleic AcidsPerformancePreparationProblem SolvingProteinsReportingResearchSARS-CoV-2 spike proteinSamplingScientistSignal TransductionSpeedSurfaceTechniquesTechnologyTemperatureTestingTimeTouch sensationValidationVirionVirusWorkaptamerbasedenoisingdesigndetectordigitalelectric impedanceexperimental studyimprovedinnovationnanoscaleoperationparticleresponsesensorsignal processingtooltouchscreentwo-dimensionalviral detection
项目摘要
PROJECT SUMMARY/ABSTRACT
Available tools for detection of SARS-CoV-2 virus require 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 ambi-
tious 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.
Our proposed solution is based on several innovations driven by eliminating a need for a dedicated sam-
pling step and solving the problems of detection and reliable selective recognition of virus particles, performing
detection/recognition operation in a two-dimensional (2D) format of biosensors, e.g., as a touch-screen surface,
and having this technical solution as a low-profile, low power, unobtrusive device that can be adapted to diverse
application scenarios.
Innovations of the proposed proof-of-principle touch-screen detector are in three main areas. For virus
recognition, we will create new multifunctional bioreceptors. Our transduction principle will be based on our
earlier reported transduction with the significantly enhanced performance. Our touch surface design will have a
2D array of biosensors.
The proposed proof-of-principle sensor will be developed in five aims. Aim 1 will focus on demonstration of
new multifunctional bioreceptors. Aim 2 will focus on validation of the functionality of these multifunctional
bioreceptors upon their immobilization on sensor surface. Aim 3 will focus on demonstration of sensing of mod-
el virus particles in a layout of 2D array of biosensors. Aim 4 will focus on demonstration of virus recognition
with immobilized multifunctional bioreceptors in variable ambient conditions. Aim 5 will focus on demonstra-
tion of enhanced detection and recognition of model virus particles in the same layout of 2D array of biosensors
as in Aim 3, but under variable ambient conditions. The findings in this proposed work will change the state-of-
the-art biosensing paradigm and will improve the scientific knowledge, technologies, and workflow practice for
virus detection.
项目总结/文摘
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Radislav A Potyrailo其他文献
Combinatorial and High-Throughput Materials Research
组合和高通量材料研究
- DOI:
10.1088/0957-0233/16/1/e01 - 发表时间:
2005 - 期刊:
- 影响因子:2.4
- 作者:
Radislav A Potyrailo;Ichiro Takeuchi - 通讯作者:
Ichiro Takeuchi
Radislav A Potyrailo的其他文献
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{{ truncateString('Radislav A Potyrailo', 18)}}的其他基金
Minimal False-alarm Touch-based Detection of SARS-Cov-2 Virus Particles using Poly-aptamers
使用多适体对 SARS-Cov-2 病毒颗粒进行最小误报触摸检测
- 批准号:
10320981 - 财政年份:2020
- 资助金额:
$ 58.18万 - 项目类别:
Wearable Organic Electric Film RFID Sensors for Monitoring of Airborne Toxicants
用于监测空气中有毒物质的可穿戴有机电薄膜 RFID 传感器
- 批准号:
7652831 - 财政年份:2009
- 资助金额:
$ 58.18万 - 项目类别:
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