Title: Ultra-sensitive multi-species spectroscopic breath analysis for real-time health monitoring and diagnostics Show Chinese title

Title: 超灵敏多物种光谱呼气分析用于实时健康监测和诊断

Abstract: Breath analysis enables rapid, non-invasive diagnostics, as well as long-term monitoring, of human health through the identification and quantification of exhaled biomarkers. Here, for the first time, we demonstrate the remarkable capabilities of mid-infrared (mid-IR) cavity-enhanced direct frequency comb spectroscopy (CE-DFCS) applied to breath analysis. We simultaneously detect and monitor as a function of time four breath biomarkers - CH$_3$OH, CH$_4$, H$_2$O and HDO - as well as illustrating the feasibility of detecting at least six more (H$_2$CO, C$_2$H$_6$, OCS, C$_2$H$_4$, CS$_2$ and NH$_3$) without modifications to the experimental apparatus. We achieve ultra-high detection sensitivity at the parts-per-trillion level. This is made possible by the combination of the broadband spectral coverage of a frequency comb, the high spectral resolution afforded by the individual comb teeth, and the sensitivity enhancement resulting from a high-finesse cavity. Exploiting recent advances in frequency comb, optical coating, and photodetector technologies, we can access a large variety of biomarkers with strong carbon-hydrogen bond spectral signatures in the mid-IR. Show Chinese abstract

Abstract: 通过识别和量化呼出的生物标志物，呼吸分析可以实现对人体健康的快速无创诊断和长期监测。 在这里，我们首次展示了中红外（中红外）腔增强直接频率梳光谱（CE-DFCS）在呼吸分析中的卓越能力。 我们同时检测并随时间监测四种呼气生物标志物 - CH$_3$OH, CH$_4$, H$_2$O 和 HDO - 并且说明了在不修改实验装置的情况下检测至少六种其他生物标志物（H$_2$CO, C$_2$H$_6$, OCS, C$_2$H$_4$, CS$_2$和 NH$_3$）的可行性。 我们在万亿分率级别实现了超高的检测灵敏度。 这得益于频梳的宽谱覆盖、单个频梳齿提供的高光谱分辨率以及高精细度腔体带来的灵敏度增强。 利用频梳、光学涂层和光电探测器技术的最新进展，我们可以探测中红外区域具有强碳氢键光谱特征的多种生物标志物。