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XYZ on a Chip: Compact and Integrated Chemical Sensors for Aqueous Analytes Based on Surface Modifaction of Semiconductors

XYZ on a Chip: Compact and Integrated Chemical Sensors for Aqueous Analytes Based on Surface Modifaction of Semiconductors
XYZ 芯片:基于半导体表面改性的紧凑型集成化学传感器,用于水性分析物
批准号:
9980758
负责人:
Thomas Kuech
金额:
$52.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1999
资助国家:
美国
项目状态:
已结题
起止时间:
1999-09-15 至 2003-08-31

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中文摘要
翻译
9980758 ellis这个工程微系统:“XYZ”芯片项目的目标是开发化学传感器和生物传感器,用于在水溶液中无损检测微米级Ill-V半导体芯片,这些芯片通常用于led和光伏电池的构建。初步实验表明,这些多层结构的光致发光(PL)和电致发光(EL)对缓冲水溶液中氨基酸的响应都是可逆的和稳定的。在该项目的第一阶段,将通过金属有机化学气相沉积(MOCVD)制备具有不同层尺寸和化学成分的模具芯片,以优化EL和PL对各种水测试分析物的响应,包括氨基酸、寡肽和(金属)卟啉。涂层将被应用到芯片的表面,以提高对某些肛门细胞的选择性反应。在第二阶段,自对准结构将通过在芯片上化学蚀刻一个微米级宽度的沟槽来制备。这种分槽结构的一侧可以放置在正偏置,产生EL,另一侧可以放置在反偏置,以光电流的形式检测EL。这创建了一个自对准集成LED/检测器结构。水性分析物在这些结构的未涂覆或涂覆的沟槽壁上的吸附将被确定为浓度和各种溶解气体存在的函数。将研究该结构在分光光度分析中的应用。电光响应的数值模拟将指导这些集成传感器的优化结构。在第三阶段,将制备一个5x5的自对准LED/检测器结构阵列,并对分析物溶液的流体流动进行建模。通过在阵列元件上使用不同的涂层,将对分析物混合物进行多组分分析,以展示传感器结构的多功能性。将研究基于二极管激光器的传感器的变化。参与该项目的研究生和本科生将受益于跨学科的研究,包括化学和生物化学、化学工程和电气工程的传感器驱动应用。将扩大从这项工作中使用的材料和设备衍生的教学材料基础,并为该项目开发一个网站。
英文摘要
9980758EllisThe goal of this Engineering Microsystems: "XYZ" on a Chip project will develop chemical sensors and biosensors for nondestructive analyte detection in aqueous solution from micron-scale Ill-V semiconductor die chips that are commonly used in the construction of LEDs and photovoltaic cells. Preliminary experiments have demonstrated that both the photoluminescence (PL) and electroluminescence (EL) of these multi layer structures respond reversibly and robustly to amino acids in buffered aqueous solution. In Phase One of the project, die chips grown by metalorganic chemical vapor deposition (MOCVD) will be prepared with varying layer dimensions and chemical compositions in order to optimize EL and PL responses to a variety of aqueous test analytes, including amino acids, oligopeptides, and (metallo)porphyrins. Coatings will be applied to the surfaces of the die chips to enhance the selectivity of the response to certain anal ytes. In Phase Two, self-aligned structures will be prepared by chemically etching a trench of micron-scale width into the die chip. One side of this trench-divided structure can be placed in forward bias, yielding EL, and the other side of the structure can be placed in reverse bias to detect the EL as photocurrent. This creates a self-aligned integrated LED/Detector structure. Adsorption of aqueous analytes onto the uncoated or coated trench walls of these structures will be determined as a function of concentration and in the presence of various dissolved gases. Use of the structure for spectrophotometric analysis will be investigated. Numerical modeling of the electro-optical responses will guide the optimized construction of these integrated sensors. In Phase Three, a 5x5 array of the self-aligned LED/Detector structures will be prepared, and fluid flow of analyte solutions will be modeled. By using different coatings on the array elements, a multicomponent analysis of a mixture of analytes will be undertaken to demonstrate the versatility of the sensor structure. A variation of the sensor based on diode lasers will be investigated. Graduate and undergraduate students participating in this project will benefit from exposure to interdisciplinary research with sensor-driven applications that embrace chemistry and biochemistry, chemical engineering, and electrical engineering. A base of instructional materials derived from the materials and devices employed in this work will be expanded, and a website for the project developed.
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