| 项目编号: | 1512686
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| 项目名称: | UNS: Density-based Biosensors |
| 作者: | Anand Subramaniam
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| 承担单位: | University of California - Merced
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| 批准年: | 2014
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| 开始日期: | 2015-06-01
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| 结束日期: | 2018-05-31
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| 资助金额: | USD326759
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
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| 英文关键词: | method
; pi
; density-based biosensor
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| 英文摘要: | CBET - 1512686, Subramaniam, Anand B.
The project proposes to develop a recently reported technique for sensing of biological entities using a method known as magnetic levitation. One of the main advantages of the proposed method is application in environments where electricity and analytical instruments are not available. The sensor output is visual and thus impactful for low resource settings.
The project proposes to develop a recently reported technique for sensing of biological entities using a method known as magnetic levitation. One of the main advantages of the proposed method is application in environments where electricity and analytical instruments are not available. The sensor output is visual and thus impactful for low resource settings. The approach for biosensing uses changes in the density as a sensing mechanism. The proposed studies are focused on understanding the effect of bead shape and size, and size of the nanoparticle catalysts on the performance of the density-based biosensor. Mathematical modeling of experiments will be conducted and compared with experimental data, and that effort will allow the formulation of analytical models on the process of electroless growth of nanoparticles on surfaces under various conditions. Broader Impact: The proposed research will contribute to the education and training of graduate and undergraduate students in a diverse, multidisciplinary environment. The PI will partner with local high school teachers in the relatively underserved Central Valley region of California to disseminate the scientific findings on low-cost diagnostics and nanoscience. The PI plans dissemination of results on the PI's website as well as through journal publications and presentations. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/94586
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Anand Subramaniam. UNS: Density-based Biosensors. 2014-01-01.
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