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EAGER: Non-invasive Sensing of Superficial Organ Tissue via Conforming Multi-parametric Microfluidic Organ Biosensors (MMOBs): Shifting the Paradigm for Organ Assessment

EAGER: Non-invasive Sensing of Superficial Organ Tissue via Conforming Multi-parametric Microfluidic Organ Biosensors (MMOBs): Shifting the Paradigm for Organ Assessment
EAGER:通过多参数微流控器官生物传感器 (MMOB) 对浅表器官组织进行非侵入式传感:改变器官评估的范式
批准号:
1650601
负责人:
Blake Johnson
金额:
$15.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2019-08-31

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中文摘要
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英文摘要
PI: Johnson, Blake Proposal Number: 1650601 Organs for transplantation, such as kidneys, are in short supply. Good measures that predict the health status of organs targeted for transplantation are not available. The current approach is not objective. This project will use current state of the art methods to make devices that will be attached to live kidneys in a special apparatus for obtaining important measurements using sensors that will be fabricated as part of the project. The goal is that such measurements will take the guess work out of the health assessment of the organ transplantation procedure. The goal of the proposed project is to fabricate a conforming and flexible sensor that will be adaptive to ex vivo organ surfaces (the porcine kidney in the experiments) for obtaining electrical impedance data, and measure biomarkers in perfused fluids using a microfluidic arrangement. The project will use advanced fabrication approach of 3D structured light scanning and extrusion-based additive manufacturing methodology for fabricating conformal (form-fitting) microfluidic organ biosensors. This sensor-based identification of biomarkers and impedance signatures in superficial tissue matrix is expected to correlate with organ health. The project will provide an educational opportunity by creating a two-week workshop which will train students in biomedical device manufacturing. Educational benefits will be assessed through a faculty-judged BIO-Maker fair.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
A Hybrid 3D Printing and Robotic-assisted Embedding Approach for Design and Fabrication of Nerve Cuffs with Integrated Locking Mechanisms
用于设计和制造具有集成锁定机构的神经袖带的混合 3D 打印和机器人辅助嵌入方法
DOI: 10.1557/adv.2018.378
发表时间: 2018
期刊: MRS Advances
影响因子: 0.8
作者: [Tong, Yuxin, Murbach, Jamie M., Subramanian, Vivek, Chhatre, Shrirang, Delgado, Francisco, Martin, David C., Otto, Kevin J., Romero-Ortega, Mario, Johnson, Blake N.]
通讯作者: Johnson, Blake N.
CAREER: Transforming Biosensor Reliability using Sensor Time-series Data and Physics-based Machine Learning
EAGER/Collaborative Research: High-throughput, Autonomous Real-time Monitoring of Tissue Mechanical Property Change via Impedimetric Sensor Arrays
国内基金
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