Bioinspired mechanogating biosensors for real-time biodetection
用于实时生物检测的仿生机械生物传感器
基本信息
- 批准号:10446238
- 负责人:
- 金额:$ 18.04万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-03-01 至 2024-11-30
- 项目状态:已结题
- 来源:
- 关键词:AreaBindingBiologicalBiological MarkersBiosensing TechniquesBiosensorChargeChemical InterferenceDataDetectionDevicesDiagnosisDiagnosticDiseaseEarly DiagnosisEnvironmentExposure toFDA approvedFutureGoalsHealthHumanImageImmune responseIn VitroInterventionIonic StrengthsLeadLiquid substanceLyme DiseaseMicrofluidicsMonitorNucleic AcidsOrganellesPathogen detectionPerformancePhysiologicalPlayPreparationPreventionPublic HealthResearchResolutionRiskRoleSamplingSignal TransductionSiliconStructureSystemTechniquesTestingTick-Borne DiseasesTicksTimeTranscendTransistorsValidationantibody detectionbasebiochipclinical diagnosticsdesigndisease diagnosisdisorder preventionelectrical measurementfluid flowimprovedmechanotransductionmultiplex detectionnanowirepathogenpoint-of-care diagnosticspreventreceptorscreeningsensortick-borne pathogen
项目摘要
Project Summary
Electronic biosensors have been playing increasingly important roles in medical diagnostics. Early
detections of various biomarkers are desired to provide timely diagnosis for the prevention and treatment of
diseases. However, current electronic biosensors are limited in biodetection, often attributed to nonspecific
interferences from a complicated ionic environment in bodily solutions. Specifically, charge screening has
prevented field-effect biosensors from real-time biodetection in physiological environment. We intend to bring
in and validate a new biosensor concept, which can be free of nonspecific charge interference and provide
generic solution to the specific biodetection. We also intend to apply the biosensor in the early detection of tick-
borne diseases, which have imposed serious threat to public health but lacked means in early detection for
timely treatment. Inspired by the mechanotransduction in biological organelles, we will employ a
`mechanogating' sensing mechanism that is orthogonal and hence resilient to charge interference. Specifically,
we propose to design a biosensor based on a suspended nanotransistor exposed to analyte flow; the binding
biomolecules are expected to increase the effective cross-sectional area of the nanotransistor and hence the
drag force by the fluid flow; the induced strain will lead to a conductance change through the piezoresistance
effect.
To realize the goals, in Aim 1 we will assembly and integrate highly suspended nanotransistors as the
biosensors specifically designed for the proposed sensing mechanism. In Aim 2, we will evaluate and verify the
biosensor function and performance in high ionic strength mimicking the physiological environment. In Aim 3,
we will implement the biosensor for the selective detection of pathogens of tick-borne diseases. If successful,
the biosensor will provide a practical solution for improved/timely treatment in tick-borne diseases. The
research is expected to create a new class of biosensors, which will transcend the inability of field-effect
biosensors and realize generic biodetection in physiological environment, leading to advanced biomedical
devices for versatile point-of-care diagnostics.
项目摘要
电子生物传感器在医学诊断中发挥着越来越重要的作用。早期
需要检测各种生物标志物以提供及时诊断,用于预防和治疗
疾病然而,目前的电子生物传感器在生物检测中受到限制,通常归因于非特异性。
来自身体溶液中复杂离子环境的干扰。具体而言,电荷筛选具有
阻碍了场效应生物传感器在生理环境中的实时生物检测。我们打算把
并验证了一种新生物传感器概念,其可以不受非特异性电荷干扰,并提供
针对特定生物检测的通用解决方案。我们还打算将生物传感器应用于蜱的早期检测,
这些疾病对公众健康构成严重威胁,但缺乏早期检测手段,
及时治疗。受生物细胞器中机械转导的启发,我们将采用
“机械门控”传感机制是正交的,因此对电荷干扰有弹性。具体地说,
我们建议设计一种基于悬浮纳米晶体管的生物传感器,该晶体管暴露于分析物流中;
预期生物分子增加纳米晶体管的有效横截面积,
流体流动的拖曳力;诱导的应变将导致通过压阻的电导变化
效果
为了实现这些目标,在目标1中,我们将组装和集成高度悬浮的纳米晶体管,
生物传感器专门设计用于所提出的传感机制。在目标2中,我们将评估和验证
生物传感器在模拟生理环境的高离子强度下的功能和性能。在目标3中,
我们会采用生物传感器,选择性地检测蜱传疾病的病原体。如果成功,
该生物传感器将为改进/及时治疗蜱传疾病提供实用的解决方案。的
研究有望创造出一种新的生物传感器,它将超越场效应的无能为力。
生物传感器和实现生理环境中的通用生物检测,导致先进的生物医学
用于多功能床旁诊断的设备。
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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Jun Yao其他文献
Jun Yao的其他文献
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{{ truncateString('Jun Yao', 18)}}的其他基金
Bioinspired mechanogating biosensors for real-time biodetection
用于实时生物检测的仿生机械生物传感器
- 批准号:
10580157 - 财政年份:2022
- 资助金额:
$ 18.04万 - 项目类别:
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