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基于相移干涉显微镜读出的微悬臂阵列的呼吸分析系统。

Breath analysis system based on phase-shifting interferometric microscopy readout of microcantilever arrays.

机构信息

Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.

出版信息

J Breath Res. 2011 Sep;5(3):037106. doi: 10.1088/1752-7155/5/3/037106. Epub 2011 Jun 16.

DOI:10.1088/1752-7155/5/3/037106
PMID:21677374
Abstract

Microcantilever (MC) sensors can provide ultrasensitive bio-chemical detection. Monitoring the bending response of large arrays of MC sensors coated with a library of receptors will produce a characteristic 'breath-print' corresponding to the breath composition; this promises to be suitable for non-invasive medical diagnostics. While MC arrays with hundreds of individual sensors can be produced readily, conventional MC readout methods are not suitable for the parallel readout of tens or hundreds of individual sensors. We have developed a MC sensor-array readout method based on phase-shifting interferometric microscopy (PSIM) which allows for the simultaneous monitoring of the response of all MCs within the field of view of the readout microscope optics. Based on this sensor technology, we have built an exhaled breath-analysis research instrument for the Point of Care Diagnostics Development Unit at the University of Leicester, UK. In this paper, we describe the PSIM readout system and the breath-analysis instrument that will be used to test sensor surface coatings and develop sensor sets with response patterns suitable for clear correlation to patients' health condition.

摘要

微悬臂梁 (MC) 传感器可以提供超灵敏的生化检测。监测涂有受体库的大型 MC 传感器阵列的弯曲响应将产生与呼吸成分相对应的特征“呼吸印记”;这有望适用于非侵入性的医疗诊断。虽然可以很容易地生产出具有数百个单个传感器的 MC 阵列,但传统的 MC 读出方法不适合对数十个或数百个单个传感器进行并行读出。我们已经开发了一种基于相移干涉显微镜 (PSIM) 的 MC 传感器阵列读出方法,该方法允许同时监测读出显微镜光学系统视场中所有 MC 的响应。基于这种传感器技术,我们为英国莱斯特大学的即时护理诊断开发单元构建了一种呼气分析研究仪器。在本文中,我们将描述 PSIM 读出系统和呼气分析仪器,该仪器将用于测试传感器表面涂层,并开发出具有适合与患者健康状况明确相关的响应模式的传感器组。

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Breath analysis system based on phase-shifting interferometric microscopy readout of microcantilever arrays.基于相移干涉显微镜读出的微悬臂阵列的呼吸分析系统。
J Breath Res. 2011 Sep;5(3):037106. doi: 10.1088/1752-7155/5/3/037106. Epub 2011 Jun 16.
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