globalchange  > 全球变化的国际研究计划
项目编号: 1656968
项目名称:
EAGER: Integrating Optical Fiber Bridges in Microfluidic Devices for Ultrasensitive Analysis of Biomarkers in Single Cells
作者: Stefan Bossmann
承担单位: Kansas State University
批准年: 2016
开始日期: 2016-10-01
结束日期: 2018-09-30
资助金额: 220000
资助来源: US-NSF
项目类别: Continuing grant
国家: US
语种: 英语
特色学科分类: Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
英文关键词: fiber ; such biomarker-based diagnostic ; microfluidic device ; rare aberrant cell ; single cell analysis ; out-of-plane multimode optical fiber ; critical biomarker
英文摘要: There are no Point of Care sensing platforms that are available to monitor a patient's biological response to disease triggers such as airborne irritants and toxins by direct and rapid profiling of critical biomarkers. There are also no platforms for monitoring the recurrence of an infectious disease or cancer that may be present in biofluid samples. Such biomarker-based diagnostics could have numerous applications in precision medicine. These devices could lead to personalized treatment strategies for individual patients. This project will develop such a system that will also be useful for the diagnosis of cancers in early stages by identifying rare aberrant cells in biological samples taken during annual physical examinations.

The PIs will develop a microfluidic device for single cell analysis that incorporates an out-of-plane multimode optical fiber to generate three excitation and three detection points using only one source and one detector. Light will be propagated through the fiber in a tunneling mode so that two excitation and detection spots can be generated at the end of the fiber. The efficiency of loading and substrate specificity will be evaluated, and peptide sequences modified to optimize loading efficiency.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/90893
Appears in Collections:全球变化的国际研究计划
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Recommended Citation:
Stefan Bossmann. EAGER: Integrating Optical Fiber Bridges in Microfluidic Devices for Ultrasensitive Analysis of Biomarkers in Single Cells. 2016-01-01.
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