Embedded gas sensing setup for air samples analysis.


Journal

The Review of scientific instruments
ISSN: 1089-7623
Titre abrégé: Rev Sci Instrum
Pays: United States
ID NLM: 0405571

Informations de publication

Date de publication:
01 Jul 2021
Historique:
entrez: 3 8 2021
pubmed: 4 8 2021
medline: 4 8 2021
Statut: ppublish

Résumé

This paper describes a measurement setup (eNose) designed to analyze air samples containing various volatile organic compounds (VOCs). The setup utilizes a set of resistive gas sensors of divergent gas selectivity and sensitivity. Some of the applied sensors are commercially available and were proposed recently to reduce their consumed energy. The sensors detect various VOCs at sensitivities determined by metal oxide sensors' technology and operating conditions. The setup can utilize prototype gas sensors, made of resistive layers of different compositions, as well. Their properties can be modulated by selecting operating temperature or using UV light irradiation. The unit is controlled by an embedded system M5Stack Core2 ESP32 IoT. We used this development kit to program the measurement procedure and data recording fastly. The setup utilizes an aluminum gas chamber of a volume of 220 ml, a set of electrical valves to introduce there an air sample with the help of an electrical micropump. The handling of the setup was simplified to a selection of a few operations by touch screen only without a necessity of extra training. The recorded data are saved in a memory card for further processing. The evolved setup can be upgraded to apply more advanced data processing by utilizing WiFi or Bluetooth connection. The control program was prepared using the Arduino IDE software environment and can be further advanced with ease. The applied materials and the established measurement procedure can use various air samples, including exhaled breath samples for patients' screening check-ups. We applied the same time of 10 min for response and recovery, acceptable for practical use.

Identifiants

pubmed: 34340402
doi: 10.1063/5.0050445
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

074102

Auteurs

Andrzej Kwiatkowski (A)

Faculty of Electronics, Telecommunications and Informatics, and Digital Technologies Center, Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland.

Katarzyna Drozdowska (K)

Faculty of Electronics, Telecommunications and Informatics, and Digital Technologies Center, Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland.

Janusz Smulko (J)

Faculty of Electronics, Telecommunications and Informatics, and Digital Technologies Center, Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland.

Classifications MeSH