SENSORS: Multi-Analyte Affinity Micro-Columns with Amplified Multi-Parameter Fluorescence Detection

传感器：具有放大多参数荧光检测功能的多分析物亲和微柱

• 批准号: 0332315
• 负责人: Gabriel Lopez
• 金额: $ 199.54万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0332315&HistoricalAwards=false
• 关键词: SENSORS; Multi; Analyte; Affinity; Micro

Researchers from the School of Engineering, College of Arts and Sciences and the Health Science Center at the University of New Mexico have teamed in this collaborative project to address critical issues in the development of a new, versatile and adaptive multi-analyte sensing platform. This collaborative research initiative will closely interface with researchers at other Universities, at the National Laboratories and with local industry. It will develop a wide range of technologies including sensing chemistry, biomimetic nanomaterials, microfluidics, and novel optical transducers to yield an integrated sensor system characterized by reliable high performance.This project represents a synergistic combination of fundamental and applied research that is requisite for the development of a new generation of high performance biosensor systems based upon affinity microcolumns. The sensor array systems will allow simultaneous, fast, reliable determination of a wide range of trace analyte species. Model analytes are chosen to be representative of broad classes of important chemical and biological species. They are also directly relevant to current grand challenges in trace detection, most notably in chemical and biological warfare defense and in early detection of disease. Critical technology development is grouped into four distinct work areas that will develop: (1) biomolecular assemblies for amplified molecular transduction on microbeads, (2) optimum methods for sample introduction and pumping through multi-analyte affinity microcolumns, (3) multiparameter fluorescence instrumentation capable of reliable detection of reactions in affinity microcolumns, and (4) system integration, optimization and testing. The technical approaches leverage the broad range of expertise of an interdisciplinary team with a recent history of productive collaboration in the development of biosensor technology and systems. A clear mechanism for integration of the sensor systems proposed with state-of-the-art air sampling technology is also presented, through collaboration with industry. The research program will offer significant opportunities for participation of students from underrepresented groups through IGERT, REU, and RET programs and a statewide initiative in nanotechnology.

来自新墨西哥州大学工程学院、艺术与科学学院和健康科学中心的研究人员在这个合作项目中合作，以解决开发一种新的、通用的和自适应的多分析物传感平台的关键问题。这项合作研究计划将与其他大学、国家实验室和当地工业界的研究人员密切合作。该项目将开发包括传感化学、仿生纳米材料、微流体和新型光学传感器在内的广泛技术，以产生具有可靠高性能特征的集成传感器系统。该项目代表了基础研究和应用研究的协同结合，这是开发新一代基于亲和微柱的高性能生物传感器系统所必需的。传感器阵列系统将允许同时，快速，可靠地确定广泛的痕量分析物种类。选择模型分析物以代表广泛类别的重要化学和生物物种。它们还与目前痕量检测方面的重大挑战直接相关，最主要的是在化学和生物战防御以及疾病的早期检测方面。关键技术的发展分为四个不同的工作领域，将开发：（1）生物分子组件的放大分子转导的微珠，（2）最佳的方法，通过多分析物亲和微柱的样品引入和泵送，（3）多参数荧光仪器能够可靠地检测反应的亲和微柱，和（4）系统集成，优化和测试。这些技术方法利用了一个跨学科团队的广泛专业知识，该团队在生物传感器技术和系统的开发方面有着富有成效的合作历史。通过与工业界的合作，还提出了一种将传感器系统与最先进的空气采样技术相结合的明确机制。 该研究计划将通过IGERT，REU和RET计划以及全州范围内的纳米技术倡议为来自代表性不足的群体的学生提供重要的参与机会。