Breathing new life into clinical testing and diagnostics: perspectives on volatile biomarkers from breath

Breath Biopsy® to Identify Exhaled Volatile Organic Compounds Biomarkers for Liver Cirrhosis Detection

“…Several studies have identified breath VOCs associated with different stages of liver disease. 4,37,38 However, only few of them attempted to explore correlations of VOCs with blood biomarkers of liver function. 8,11,14 In this study, comprehensive analysis projected the entire set of discriminant exhaled VOCs into the set of blood metrics of liver function, measured in subjects with cirrhosis, demonstrating a significant collective correlation between the two sets of variables and quantifying the contribution of each single variable to the overall correlation.…”

A sub-ppbv-level Acetone and Ethanol Quantum Cascade Laser Based Photoacoustic Sensor – Characterization and Multi-Component Spectra Recording in Synthetic Breath

“…The application of human breath analysis as a diagnostic tool is considered a major challenge. The ease of breath sampling and its non-invasive implementation is expected to reduce patient discomfort and thus enable higher patient compliance [1] , [2] , [3] . While there is a wide range of analytical techniques that have already been tested [1] , [2] , this work focuses on the laser-based sensing technique of photoacoustic spectroscopy (PAS).…”

“…The ease of breath sampling and its non-invasive implementation is expected to reduce patient discomfort and thus enable higher patient compliance [1] , [2] , [3] . While there is a wide range of analytical techniques that have already been tested [1] , [2] , this work focuses on the laser-based sensing technique of photoacoustic spectroscopy (PAS). Compared to many other techniques, laser-based breath analysis has several advantages as it is very specific and enables fast or even real-time detection [4] .…”

The accuracy of an electronic nose to diagnose tuberculosis in patients referred to an expert centre

“…In order to accomplish this, a classifier (e.g. Artificial Neural Network, Random Forest, Support Vector Machine) has to be trained accordingly [5]. Until now, several studies have been performed with the eNose, which showed promising results [6][7][8][9].…”