Highly Streamlined Computing Platforms for Sensory Plane Processing in Portable Chemical Analysis Instruments
Highly Streamlined Computing Platforms for Sensory Plane Processing in Portable Chemical Analysis Instruments
批准号:
0300537
负责人:
Denise Wilson
金额:
$36.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-04-15 至 2007-03-31
中文摘要
本研究分三个阶段进行。第一阶段的重点是开发和演示拟议研究的三个组成部分(SPR传感器开发,架构优化,光学计算)作为单独的实体。第2阶段改进并修改了这三个组件,但也将第1阶段开发的架构优化和光学计算与模块化但非选择性SPR探针相结合,其结构已被优化,可用于目标应用中的可靠检测。第三阶段增加了多个,高选择性SPR探针与优化的表面化学演示系统操作的代表性应用检测肌红蛋白床旁心脏健康监测和多环芳烃(多环芳烃)的环境monitoring.This项目提供了教育机会,在一个多学科的合作环境,研究生和本科生在工程和化学。在这个项目中设计的传感器将被用于威尔逊在电气工程和Booksh在分析和环境化学教授的本科实验室课程。威尔逊和布克什都有指导和支持女性和少数民族学生的记录。两个PI都希望通过该项目继续这一趋势。这一拒绝的成功完成将为Wilson和Booksh之间的未来合作打开大门;这里开发的集成数据收集和处理架构可以想象应用于其他具有健康或国防影响的传感器几何形状。
英文摘要
This research is conducted in three phases. Phase 1 focuses on the development and demonstration of the three components of the proposed research (SPR sensor development, architecture optimization, optical computation) as separate entities. Phase 2 advances and revises these three components but also merges architecture optimization and optical computation developed during Phase 1 with modular but non-selective SPR probes, whose structure has been optimized for reliable detection in the targeted applications. Phase 3 adds multiple, highly selective SPR probes with optimized surface chemistry for demonstrating system operation in the representative applications of detecting myoglobin for bedside heart health monitoring and PAHs (polycyclic aromatic hydrocarbons) for environmental monitoring.This project presents educational opportunities in a multidisciplinary collaborative environment for both graduate and undergraduate students in Engineering and Chemistry. The sensors designed in this project will be employed in undergraduate laboratory classes taught by Wilson in Electrical Engineering and by Booksh in Analytical and Environmental Chemistry. Both Wilson and Booksh have a documented track record of mentoring and supporting female and minority students. Both PIs expect to continue the trend with this project. Successful completion of this reject will open doors for future collaborations between Wilson and Booksh; the integrated data collection and processing architecture developed here can conceivable be applied to other sensor geometries with health or national defense implications.
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