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超灵敏宽带激光光谱分析呼吸可检测 SARS-CoV-2 感染。

Breath analysis by ultra-sensitive broadband laser spectroscopy detects SARS-CoV-2 infection.

机构信息

JILA, National Institute of Standards and Technology and University of Colorado, Boulder, CO 80309, United States of America.

Department of Physics, University of Colorado, Boulder, CO 80309, United States of America.

出版信息

J Breath Res. 2023 Apr 5;17(3). doi: 10.1088/1752-7163/acc6e4.

Abstract

Rapid testing is essential to fighting pandemics such as coronavirus disease 2019 (COVID-19), the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 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.

摘要

快速检测对于抗击 2019 年冠状病毒病(COVID-19)等大流行病至关重要,COVID-19 是由严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)引起的疾病。呼出的人体呼吸中包含多种挥发性分子,为多种医疗条件的非侵入性诊断提供了强大的潜力。我们使用腔增强直接频率梳光谱(CE-DFCS)研究了 SARS-CoV-2 感染的呼吸检测,CE-DFCS 是一种最先进的激光光谱技术,能够实时以振转量子态分辨率和万亿分之一体积检测灵敏度大规模收集宽带分子吸收特征。使用总共 170 个个体呼吸样本(根据基于逆转录聚合酶链反应测试的 83 个阳性和 87 个阴性),我们报告了 SARS-CoV-2 感染的出色区分能力,接收器操作特性曲线下的面积为 0.849(4)。我们的结果支持将 CE-DFCS 开发为 COVID-19 的替代、快速、非侵入性测试,并突出了其在各种生物条件和疾病状态的光学诊断方面的巨大潜力。

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