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Detection of COVID-19 by quantitative analysis of carbonyl compounds in exhaled breath. | LitMetric

AI Article Synopsis

  • - The study explores breath analysis as a quick, non-invasive method for detecting COVID-19 by identifying carbonyl compounds related to inflammation and oxidative stress.
  • - A total of 321 participants, including 141 COVID-19 positive individuals (55 during the alpha wave and 86 during the delta wave), were tested using advanced techniques like ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS).
  • - Results showed high accuracy in detecting COVID-19 patients: 98.4% for the alpha wave and 88.3% for the delta wave, suggesting breath analysis could be a viable tool for rapid COVID-19 screening and future respiratory virus outbreaks.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11196736PMC
http://dx.doi.org/10.1038/s41598-024-61735-7DOI Listing

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