SIFT-MS analysis of breath samples differentiated healthy children from those with chronic liver disease (CLD).


Non-invasive diagnosis is the dream of many clinicians, because it is so much less threatening to patients than taking body fluid and tissue samples. In a recent study published by Eng and co-workers from Cleveland Clinic, Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) analysis of breath samples differentiated healthy children from those with chronic liver disease (CLD).

The breath of 104 subjects were analyzed, of which 49 were diagnosed with CLD using traditional techniques and 55 were healthy controls. Eng et al. found that five VOCs (ethane, trimethylamine, 1-octene, (E)-2-nonene, and 1-decene) “had excellent accuracy for predicting the presence of CLD”.

To learn more about this promising area of research that utilizes the direct breath analysis capabilities of SIFT-MS, you can obtain the full article here.

 

For more information on SIFT-MS and its breath research application.

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