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Saliva Analysis with an Array Sensor

Saliva Analysis with an Array Sensor
使用阵列传感器进行唾液分析
批准号:
6585717
负责人:
Eric V. Anslyn
金额:
$100.0万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-09-30 至 2006-06-30

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中文摘要
翻译
描述(由申请人提供):实时床边医疗诊断是医疗保健领域的一场革命,在不久的将来无疑会到来。它将对医学实践产生深远的影响,并将极大地改善国家的一般卫生保健。与大多数医疗诊断程序一样,测试将需要采集样本。唾液无疑是可以收集到的最无创的体液。先前的研究表明,唾液中存在大量的各种疾病标志物,因此唾液是实时床边医学诊断的绝佳介质。
英文摘要
DESCRIPTION (provided by applicant): Real-time bedside medical diagnostics presents a revolution in medical care that is undoubtedly coming in the near future. It will have a profound impact on how medicine is practiced, and will greatly improve the general health care of the Nation. As with most medical diagnostic procedures, the testing will require sample collection. Saliva is undoubtedly the most non-invasive bodily fluid that can be collected. Previous research has shown that a large number of various disease markers are present in saliva, and therefore saliva represents an excellent medium for real-time bedside medical diagnostics. At the University of Texas at Austin (UT) a technology has recently been developed that is well suited to an ultimate application in a bed-side diagnostic setting. This technology is a micro machined bead-based array sensor suite well suited to multiplexing sensing arrays. In this application we describe work focused upon extending this technology to saliva analysis. In a collaboration with the University of Kentucky (UK), correlations between ELISA based analyses with the UT technology will be performed. The goal is to demonstrate the feasibility of performing multiplexed assays on saliva for a series of metabolic and disease markers. The study will consist of developing nine chemical assays, combining them into sensing suites, making the assays practical and robust, and correlating the results with that from UK. At the same time three improvements will be made to the UT technology. These consist of fabricating "chips on chips" such that incompatible chemistries can be multiplexed, forming platforms where beads can act as reagent sources in order to minimize sample preparation, and creating an automated, spatially resolved bead sorting process to improve manufacturing.
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    2016
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