Exhaled breath analysis by resistive gas sensors

• Autorzy: Chludziński Tomasz , Kwiatkowski Andrzej

Identyfikatory

DOI

10.24425/mms.2020.131718

• Języki publikacji: EN

Abstrakty

EN

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 adsorption-desorption 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 sensor scan 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.

Słowa kluczowe

EN

resistive gas sensors; data processing; exhaled breath analysis

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2020
• Tom: Vol. 27, nr 1
• Strony: 81--89
• Opis fizyczny: Bibliogr. 25 poz., rys., wykr.

Twórcy

autor

Chludziński Tomasz

• Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

autor

Kwiatkowski Andrzej

• Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

Bibliografia

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Uwagi

EN

1. 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.

PL

2. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).