Academic Journal
Detection of COVID-19 by quantitative analysis of carbonyl compounds in exhaled breath
| Title: | Detection of COVID-19 by quantitative analysis of carbonyl compounds in exhaled breath |
|---|---|
| Authors: | Zhenzhen Xie, James D. Morris, Jianmin Pan, Elizabeth A. Cooke, Saurin R. Sutaria, Dawn Balcom, Subathra Marimuthu, Leslie W. Parrish, Holly Aliesky, Justin J. Huang, Shesh N. Rai, Forest W. Arnold, Jiapeng Huang, Michael H. Nantz, Xiao-An Fu |
| Source: | Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024) |
| Publisher Information: | Nature Portfolio, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Medicine LCC:Science |
| Subject Terms: | COVID-19 detection, Breath analysis, Carbonyl compounds, UHPLC-MS, Microreactor, Medicine, Science |
| More Details: | Abstract COVID-19 has caused a worldwide pandemic, creating an urgent need for early detection methods. Breath analysis has shown great potential as a non-invasive and rapid means for COVID-19 detection. The objective of this study is to detect patients infected with SARS-CoV-2 and even the possibility to screen between different SARS-CoV-2 variants by analysis of carbonyl compounds in breath. Carbonyl compounds in exhaled breath are metabolites related to inflammation and oxidative stress induced by diseases. This study included a cohort of COVID-19 positive and negative subjects confirmed by reverse transcription polymerase chain reaction between March and December 2021. Carbonyl compounds in exhaled breath were captured using a microfabricated silicon microreactor and analyzed by ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS). A total of 321 subjects were enrolled in this study. Of these, 141 (85 males, 60.3%) (mean ± SD age: 52 ± 15 years) were COVID-19 (55 during the alpha wave and 86 during the delta wave) positive and 180 (90 males, 50%) (mean ± SD age: 45 ± 15 years) were negative. Panels of a total of 34 ketones and aldehydes in all breath samples were identified for detection of COVID-19 positive patients. Logistic regression models indicated high accuracy/sensitivity/specificity for alpha wave (98.4%/96.4%/100%), for delta wave (88.3%/93.0%/84.6%) and for all COVID-19 positive patients (94.7%/90.1%/98.3%). The results indicate that COVID-19 positive patients can be detected by analysis of carbonyl compounds in exhaled breath. The technology for analysis of carbonyl compounds in exhaled breath has great potential for rapid screening and detection of COVID-19 and for other infectious respiratory diseases in future pandemics. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-024-61735-7 |
| Access URL: | https://doaj.org/article/5dcc2bc18c644b838fddf60dc2ea9cea |
| Accession Number: | edsdoj.5dcc2bc18c644b838fddf60dc2ea9cea |
| Database: | Directory of Open Access Journals |
| Full text is not displayed to guests. | Login for full access. |
| ISSN: | 20452322 |
|---|---|
| DOI: | 10.1038/s41598-024-61735-7 |
| Published in: | Scientific Reports |
| Language: | English |