论文标题
通过超敏感的宽带激光光谱检测SARS-COV-2感染的呼吸分析
Breath analysis by ultra-sensitive broadband laser spectroscopy detects SARS-CoV-2 infection
论文作者
论文摘要
快速测试对于与SARS-COV-2病毒引起的疾病诸如COVID-19之类的大流行者至关重要。呼出的人类呼吸包含多种挥发性分子，为非侵入性诊断多种医疗状况提供了强大的潜力。我们使用腔体增强频率梳光谱（CE-DFC）研究了SARS-COV-2感染的呼吸检测，这是一种最先进的激光光谱技术，能够实时大规模收集宽带分子吸收特征，可在RO-Evibratitional State Sonesution和Parts-Trrimirion量的零件量化体积的体积检测中进行实时收集。我们总共使用170个单独的呼吸样品（基于逆转录聚合酶链反应测试的SARS-COV-2为83个正和87个阴性），我们报告了SARS-COV-2感染的出色歧视能力，在接收器操作 - 特征特征曲线下与区域下的区域为0.849（4）。我们的结果支持CE-DFC作为Covid-19的替代，快速，无创测验的发展，并强调了其在多种生物学状况和疾病状态的光学诊断中的显着潜力。
Rapid testing is essential to fighting pandemics such as COVID-19, the disease caused by the SARS-CoV-2 virus. Exhaled human breath contains multiple volatile molecules providing powerful potential for non-invasive diagnosis of diverse medical conditions. We investigated breath detection of SARS-CoV-2 infection using cavity-enhanced direct frequency comb spectroscopy (CE-DFCS), a state-of-the-art laser spectroscopic technique capable of a real-time massive collection of broadband molecular absorption features at ro-vibrational quantum state resolution and at parts-per-trillion volume detection sensitivity. Using a total of 170 individual breath samples (83 positive and 87 negative with SARS-CoV-2 based on Reverse Transcription Polymerase Chain Reaction tests), we report excellent discrimination capability for SARS-CoV-2 infection with an area under the Receiver-Operating-Characteristics curve of 0.849(4). Our results support the development of CE-DFCS as an alternative, rapid, non-invasive test for COVID-19 and highlight its remarkable potential for optical diagnoses of diverse biological conditions and disease states.
