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Ion mobility spectrometry in breath research
Tobias Fink1, Jörg I Baumbach, Sascha Kreuer
1Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center, Homburg (Saar), Germany.
Journal of Breath Research
|April 1, 2014
Summary
Researchers reviewed breath analysis publications from 2010-2013, focusing on ion mobility spectrometry (IMS). They identified 42 significant analytes detected by IMS for medical applications, comparing these findings to other analytical methods.
Area of Science:
- Analytical Chemistry
- Biomedical Engineering
- Medical Diagnostics
Background:
- Breath analysis is a growing field utilizing various analytical techniques.
- Ion mobility spectrometry (IMS) has emerged as a key technology in breath analysis.
- Publications on IMS for breath analysis increased significantly between 2010 and 2013.
Purpose of the Study:
- To review and analyze publications on ion mobility spectrometry (IMS) for breath analysis from 2010 to 2013.
- To identify analytes detected by IMS with high significance for specific medical questions.
- To compare IMS findings with other analytical methods for selected analytes.
Main Methods:
- Literature review of publications between 2010 and 2013.
- Focus on different types of IMS: differential mobility spectrometers, high-field asymmetric waveform ion mobility spectrometers, and multi-capillary columns coupled to conventional IMS.
- Selection of analytes with high significance for medical applications.
Main Results:
- A total of 42 different analytes were identified as detectable by IMS with high significance.
- The review considered various IMS techniques and their application to specific medical questions.
- Detected analytes were compared against findings from other analytical methods.
Conclusions:
- IMS is a valuable tool for detecting significant analytes in breath for medical applications.
- The reviewed period shows a substantial increase in IMS applications for breath analysis.
- Further comparative studies are warranted to fully establish IMS in clinical diagnostics.
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