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Updated: Feb 8, 2026

Purification and Reconstitution of TRPV1 for Spectroscopic Analysis
Published on: July 3, 2018
Sensitive spectroscopic breath analysis by water condensation
Kiran Sankar Maiti1, Michael Lewton, Ernst Fill
1Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Straße 1, 85748 Garching, Germany. Lehrstuhl für Experimental Physik, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748 Garching, Germany.
Breath analysis using volatile organic compounds (VOCs) offers non-invasive disease diagnosis. A new water suppression technique enhances VOC identification in breath samples for clinical applications.
Area of Science:
- Analytical Chemistry
- Biomedical Engineering
- Clinical Diagnostics
Background:
- Breath analysis is a promising non-invasive diagnostic tool.
- Endogenous volatile organic compounds (VOCs) in breath reflect metabolic states and diseases.
- High water content in breath hinders VOC identification.
Purpose of the Study:
- To present a novel water suppression technique for breath analysis.
- To enable identification of specific trace gases in breath samples.
- To validate the technique's clinical relevance and impact on VOC concentrations.
Main Methods:
- Development of a water suppression technique for breath samples.
- Utilizing Fourier-transform infrared spectroscopy for trace gas identification.
- Quantification of water reduction and assessment of VOC stability during sample preparation.
Main Results:
- The technique reduces water concentration in breath samples by a factor of 2500.
- Sample preparation and data acquisition are completed within a clinically relevant timeframe of approximately 25 minutes.
- Water elimination does not significantly alter the concentrations of key trace gases like methane, acetone, and isoprene.
Conclusions:
- The developed water suppression technique effectively enhances VOC analysis in breath.
- This method facilitates the identification of disease-specific biomarkers in breath.
- The technique shows potential for routine clinical diagnostics and disease monitoring.
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