tetano
Editor, Senior Moderator
J Breath Res
. 2023 Apr 5;17(3).
doi: 10.1088/1752-7163/acc6e4.
Breath analysis by ultra-sensitive broadband laser spectroscopy detects SARS-CoV-2 infection
Qizhong Liang[SUP] 1 2 [/SUP], Ya-Chu Chan[SUP] 1 3 [/SUP], Jutta Toscano[SUP] 1 2 [/SUP], Kristen K Bjorkman[SUP] 4 [/SUP], Leslie A Leinwand[SUP] 4 5 [/SUP], Roy Parker[SUP] 4 6 [/SUP], Eva S Nozik[SUP] 7 [/SUP], David J Nesbitt[SUP] 1 2 3 [/SUP], Jun Ye[SUP] 1 2 [/SUP]
Affiliations
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.
Keywords: COVID-19; SARS-CoV-2; breath analysis; cavity enhancement; machine learning; mid-infrared frequency comb laser.
. 2023 Apr 5;17(3).
doi: 10.1088/1752-7163/acc6e4.
Breath analysis by ultra-sensitive broadband laser spectroscopy detects SARS-CoV-2 infection
Qizhong Liang[SUP] 1 2 [/SUP], Ya-Chu Chan[SUP] 1 3 [/SUP], Jutta Toscano[SUP] 1 2 [/SUP], Kristen K Bjorkman[SUP] 4 [/SUP], Leslie A Leinwand[SUP] 4 5 [/SUP], Roy Parker[SUP] 4 6 [/SUP], Eva S Nozik[SUP] 7 [/SUP], David J Nesbitt[SUP] 1 2 3 [/SUP], Jun Ye[SUP] 1 2 [/SUP]
Affiliations
- PMID: 37016829
- 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.
Keywords: COVID-19; SARS-CoV-2; breath analysis; cavity enhancement; machine learning; mid-infrared frequency comb laser.