How to identify correlating metabolites and confirm their identity in breath with Super SESI?

This paper, published by our colleagues at ETH Zurich, reports the detection of a whole series of ω-oxidation products of unbranched medium-chain fatty acids in exhaled breath (ω-hydroxy alkanoic acids, ω-oxoalkanoic acids, and alkanedioic acids) with carbon chain lengths of 5-15. These metabolites correlated with the ω-oxidation pathway in a study with 146 healthy individuals.

This paper shows how Super SESI can be used to obtain large data-sets with many individuals to identify signal correlations, and how the identity of the correlating compounds can then be confirmed with conventional offline analysis.

Online breath analysis, in combination with conventional offline analysis, is a powerful tool to gain insight into the metabolism of the lungs.

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