SBIR Phase I: Highly Specific Nanoparticle Gas Sensors: HCN and SO2
SBIR Phase I: Highly Specific Nanoparticle Gas Sensors: HCN and SO2
批准号:
0320360
负责人:
Mark Watson
金额:
$10.0万
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:
2003-07-01 至 2003-12-31
中文摘要
这项小型企业创新研究(SBIR)的第一阶段旨在探索创造一种低成本的气体传感器的可行性,该传感器对痕量HCN和SO2具有高度特异性。该项目包括两个并行的努力;一个是制造一种纳米结构的底物,可以选择性地结合HCN和SO2,另一个是制造一种低成本、物种特异性的拉曼光谱仪。这两种技术共同构成了一个完整的、定量的、近实时的传感器,用于监测HCN和SO2。这种传感器将广泛适用于国土安全监测、环境排放监测和火灾救援应用(HCN烟雾吸入)。该项目在几个重要方面推进了拉曼光谱的实践。首先,它寻求将金纳米结构技术应用于固气界面。其次,提出了一种结构紧凑、成本低廉的拉曼显示器。制造拉曼显示器的技术新颖,对商用拉曼显示器的发展具有很高的实用性。这种传感器对于氰化物或二氧化硫产品的用户应该有广泛的应用。氰化氢的毒性特别大,在塑料生产和贵金属开采中被大量使用。对市场的粗略分析表明,几家大型化工公司对拟议的装置感兴趣。该装置还需要提供快速检测氰化氢或二氧化硫。
英文摘要
This Small Business Innovation Research (SBIR) Phase I proposes to explore the feasibility of creating a low-cost gas sensor highly specific to trace levels of HCN and SO2. The project consists of two parallel efforts; one to create a nanostructured substrate that selectively binds HCN and SO2, and another to create a low-cost, species-specific Raman spectrometer. Together, both technologies form a complete, quantitative, near real-time sensor for monitoring HCN and SO2. Such a sensor would have broad applicability to homeland security monitoring, environmental emissions monitoring, and to fire rescue applications (smoke inhalation of HCN). The project advances the practice of Raman spectroscopy in several significant ways. First it seeks to apply Au nanostructure technology to solid-gas interfaces. Secondly, it proposes a Raman monitor that is compact and low-cost. The technology used to make the Raman monitor is both novel and highly practical for the development of commercial Raman monitors. This sensor should have broad applications for users of cyanide or sulfur dioxide products. Hydrogen cyanide is particularly toxic and used in large quantities in the production of plastics and mining of precious metals. Perfunctory analysis of the market indicates several large chemical firms that are interested in the proposed device. The device is also needed to provide rapid detection of hydrogen cyanide or sulfur dioxide.
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Collaborative Research: Factor-Augmented Vector Autoregressions [FAVARs] and the Analysis of Monetary Policy
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批准号:0214464
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财政年份:2002
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负责人:Mark Watson
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依托单位:
Topics in Macroeconomics and Forecasting
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批准号:9122463
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项目类别:Standard Grant
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资助金额:$23.39万
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财政年份:1992
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负责人:Mark Watson
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依托单位:
The Predictability of Macroeconomic Fluctuations: Methods and Empirical Analysis
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批准号:8910601
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项目类别:Continuing Grant
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资助金额:$17.22万
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财政年份:1989
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负责人:Mark Watson
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依托单位:
Econometric Analysis of Long-Run Macroeconomic Relationships
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批准号:8618984
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项目类别:Continuing Grant
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财政年份:1987
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负责人:Mark Watson
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Applications in Dynamic Econometrics
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项目类别:Continuing Grant
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财政年份:1986
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负责人:Mark Watson
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依托单位:
Applications in Dynamic Econometrics
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批准号:8510289
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项目类别:Continuing Grant
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财政年份:1985
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负责人:Mark Watson
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依托单位:
Applications of Dynamic Multiple Indicator Multiple Cause Models to Economics
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批准号:8208037
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项目类别:Standard Grant
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资助金额:$2.48万
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财政年份:1982
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负责人:Mark Watson
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依托单位:
国内基金
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