This study describes the use of thermal desorption (TD) and GC×GC–TOF MS for exploratory profiling of biomarkers in breath, coupled with innovative data mining tools to uncover hidden compositional changes using automated untargeted workflows.
This study describes the development of an analytical platform based upon TD–GC×GC–TOF MS and shows its application to the collection and analysis of breath samples. The enhanced separation achieved ensures confident identification of biomarkers.
This study describes an analytical system for the rapid identification of potential disease biomarkers in breath, through the use of sampling onto TD tubes, followed by automated preconcentration and GC–TOF MS.
This study describes the comprehensive, high-sensitivity screening of disease biomarkers, through use of sampling onto TD tubes, automated preconcentration, and GC×GC–TOF MS, with confident identification aided by Tandem Ionisation.