Blog
How to obtain consistent results in breath analysis with SUPER SESI and EXHALION?
To ensure the reliability of the breath test data, this study includes a systematic evaluation of the sources of variability and strategies to minimize their impact.
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.
How SUPER SESI can help to identify biomarkers of lung damage?
Molecular breath analysis supports altered amino acid metabolism in idiopathic pulmonary fibrosis (IPF).This paper, authored by our colleagues from the University of Zurich, shows that amino acids detected by breath analysis in real-time correlate with ongoing fibrotic processes.
Super SESI-HRMS: Real-Time Analysis of Dynamic Metabolic Processes
In the last ten years, we have developed the tools required to analyze dynamic changes in metabolism. A key technical challenge was to detect large and biologically relevant molecules in the gas phase, which allowed for the analysis of respiration metabolites. This article describes and illustrates this new window into the metabolism and the volatilome. With an exclusive look at high ionization efficiency of Secondary Electro-Spray Ionization (SESI) and Super SESI application.
Real-Time Therapeutic Monitoring of Valproic Acid in Exhaled Breath, presented at the MSACL congress
Post-doctoral researcher Kapil Dev Singh (UKBB) presented part of his studies on therapeutic drug monitoring at the MSACL congress. They measured exhaled breath in pediatric patients treated with antiepileptic medication, and compared it with Gold Standard blood test. They identified secondary metabolites of valproic acid (VPA), and were able to predict the serum concentration of total and free VPA in real time in a non-invasive way, using the platform SUPER SESI - Orbitrap.