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Breath monitoring based on the optical electronic nose system

机译:基于光学电子鼻系统的呼吸监测

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The identification of volatile organic compounds (VOCs) presented in exhaled human breath can provide direct evidence of the health status of patients. Electronic nose (e-nose) has been known as an efficient technique for odor classification of numerous products, living and non-living objects and environment. In this work, an optical e-nose system that consists of organic thin film gas sensor and optical detection system was investigated on its potential for biomedical applications. The gas sensor was prepared based on metal-porphyrin compounds that are the optically active to various basic VOC. In addition, low-cost light emitting diodes (LEDs) array and a CMOS photo-detector were integrated to analyze the color change in the sensing material. The sensing materials were tested with various common VOCs, for examples, alcohols, acetone, ammonia and water. Pattern recognition, namely principal component analysis (PCA), clearly distinguished the different concentration of ammonia vapor, and discriminated ammonia from acetone vapor. Moreover, optical e-nose successfully detected the change of exhaled breath such as before and after eating. Consequently, this system is expected to be further developed as a breath monitoring system.
机译:呼出的人类呼吸中存在的挥发性有机化合物(VOC)的鉴定可以提供患者健康状况的直接证据。电子鼻(e-nose)是一种有效的技术,可对多种产品,有生命和无生命物体以及环境进行气味分类。在这项工作中,研究了由有机薄膜气体传感器和光学检测系统组成的光学电子鼻系统在生物医学应用中的潜力。气体传感器是基于对各种基本VOC具有光学活性的金属卟啉化合物制备的。此外,还集成了低成本发光二极管(LED)阵列和CMOS光电检测器,以分析传感材料中的颜色变化。用各种常见的VOC(例如,酒精,丙酮,氨和水)对传感材料进行了测试。模式识别(即主成分分析(PCA))清楚地区分了氨气的不同浓度,并从丙酮蒸汽中区分出了氨气。此外,光学电子鼻成功地检测到了进食前后的呼气变化。因此,预期该系统将进一步发展为呼吸监测系统。

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