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Abstract
Breath analysis has attracted human beings for centuries. It was one of the simplest methods to detect various diseases by using human smell sense only. Advances in technology enable to use more reliable and standardized methods, based on different gas sensing systems. Breath analysis requires the detection of volatile organic compounds (VOCs) of the concentrations below individual ppm (parts per million). Therefore, advanced detection methods have been proposed. Some of these methods use expensive and bulky equipment (e.g. optical sensors, mass spectrometry – MS), and require time-consuming analysis. Less accurate, but much cheaper, are resistive gas sensors. These sensors use porous materials and adsorptiondesorption processes, determining their physical parameters. We consider the problems of applying resistive gas sensors to breath analysis. Recent advances were underlined, showing that these economical gas sensors can be efficiently employed to analyse breath samples. General problems of applying resistive gas sensors are considered and illustrated with examples, predominantly related to commercial sensors and their long-term performance. A setup for collection of breath samples is considered and presented to point out the crucial parts and problematic issues.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.24425/mms.2020.131718
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Metrology and Measurement Systems
no. 27,
pages 81 - 89,
ISSN: 0860-8229 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Chludziński T., Kwiatkowski A.: Exhaled breath analysis by resistive gas sensors// Metrology and Measurement Systems -Vol. 27,iss. 1 (2020), s.81-89
- DOI:
- Digital Object Identifier (open in new tab) 10.24425/mms.2020.131718
- Sources of funding:
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- This work was financially supported in part by Statutory Funds (Działalność Statutowa), Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology and by TROPSENSE under the H2020-MSCA-RISE-2014 project, grant agreement number: 645758.
- Verified by:
- Gdańsk University of Technology
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