Analysis of a Broad Range of Carbonyl Metabolites in Exhaled Breath by UHPLC-MS
Authors
Affiliations
Analysis of volatile organic compounds (VOCs) in exhaled breath (EB) has shown great potential for disease detection including lung cancer, infectious respiratory diseases, and chronic obstructive pulmonary disease. Although many breath sample collection and analytical methods have been developed for breath analysis, analysis of metabolic VOCs in exhaled breath is still a challenge for clinical application. Many carbonyl compounds in exhaled breath are related to the metabolic processes of diseases. This work reports a method of ultrahigh-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-MS) for the analysis of a broad range of carbonyl metabolites in exhaled breath. Carbonyl compounds in the exhaled breath were captured by a fabricated silicon microreactor with a micropillar array coated with 2-(aminooxy)ethyl-,,-trimethylammonium (ATM) triflate. A total of six subgroups consisting of saturated aldehydes and ketones, hydroxy-aldehydes, and hydroxy-ketones, unsaturated 2-alkenals, and 4-hydroxy-2-alkenals were identified in the exhaled breath. The combination of a silicon microreactor for the selective capture of carbonyl compounds with UHPLC-MS analysis may provide a quantitative method for the analysis of carbonyls to identify disease markers in exhaled breath.
Detection of COVID-19 by quantitative analysis of carbonyl compounds in exhaled breath.
Xie Z, Morris J, Pan J, Cooke E, Sutaria S, Balcom D Sci Rep. 2024; 14(1):14568.
PMID: 38914586 PMC: 11196736. DOI: 10.1038/s41598-024-61735-7.
Identification of a marker of infection in the breath using a porcine pneumonia model.
Katsaros G, Smith S, Shacklette S, Trivedi J, Garr S, Parrish L JTCVS Open. 2024; 16:1063-1069.
PMID: 38204632 PMC: 10775109. DOI: 10.1016/j.xjon.2023.10.025.
A feasibility study on exhaled breath analysis using UV spectroscopy to detect COVID-19.
Sutaria S, Morris J, Xie Z, Cooke E, Silvers S, Long G J Breath Res. 2023; 18(1).
PMID: 37875100 PMC: 10620812. DOI: 10.1088/1752-7163/ad0646.