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arXiv 0708.3205physics.opticsphysics.atom-phphysics.chem-phphysics.ins-det
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通过腔增强光学频率梳光谱学分析人的呼吸

Human breath analysis via cavity-enhanced optical frequency comb spectroscopy

Michael J. Thorpe, David Balslev-Clausen, Matthew S. Kirchner, Jun Ye

摘要:

到目前为止,研究人员已经确定了人类呼吸中含有的1000多种不同的化合物。这些分子具有内源性和外源性来源,并提供有关体内发生的生理过程以及与环境相关的污染物摄入或吸收的信息1,2。虽然人们对其中许多分子的存在和浓度知之甚少,但许多“生物标志物”分子已与特定疾病和代谢过程相关。这种相关性可以导致针对各种各样的医学状况的健康筛查的非侵入性方法。在这篇文章中,我们提出了人类呼吸分析使用的光频梳为基础的痕迹检测系统,在所有的标准具有优异的性能:检测灵敏度,识别和区分大量的生物标志物的能力,和测量时间。我们证明了8 × 10-10 cm-1的最小可检测吸收,800 MHz的光谱分辨率和200 nm的光谱覆盖范围从1.5到1.7微米,其中许多生物标志物存在强大而独特的分子指纹。我们提出了一系列的呼吸测量,包括稳定同位素比的CO2,呼吸浓度的CO,和存在的痕量浓度的NH3在高浓度的H2O。

英文摘要:

To date, researchers have identified over 1000 different compounds contained in human breath. These molecules have both endogenous and exogenous origins and provide information about physiological processes occurring in the body as well as environment-related ingestion or absorption of contaminants1,2. While the presence and concentration of many of these molecules are poorly understood, many 'biomarker' molecules have been correlated to specific diseases and metabolic processes. Such correlations can result in non-invasive methods of health screening for a wide variety of medical conditions. In this article we present human breath analysis using an optical-frequency-comb-based trace detection system with excellent performance in all criteria: detection sensitivity, ability to identify and distinguish a large number of biomarkers, and measurement time. We demonstrate a minimum detectable absorption of 8 x 10-10 cm-1, a spectral resolution of 800 MHz, and 200 nm of spectral coverage from 1.5 to 1.7 micron where strong and unique molecular fingerprints exist for many biomarkers. We present a series of breath measurements including stable isotope ratios of CO2, breath concentrations of CO, and the presence of trace concentrations of NH3 in high concentrations of H2O.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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