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

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 05, 2023
Source ID
10.1088/1752-7163/acc6e4

Entities

People

  • David J. Nesbitt
  • Eva S. Nozik
  • Jun Ye
  • Jutta Toscano
  • Kristen K B Barthel
  • Leslie Leinwand
  • Qizhong Liang
  • Roy Parker
  • Ya-chu Chan

Organizations

  • Air Force Office of Scientific Research
  • National Institute of Standards and Technology
  • National Institutes of Health
  • National Science Foundation
  • United States Department of Energy

Tags

Fields of Study

  • Physics

Readers

  • Infectious Disease/Epidemiology
  • Marine Ecotoxicology
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Directed Energy
  • Quantum Computing