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« Previous AbstractAssessment of Electronic Sensing Techniques for the Rapid Identification of Alveolar Echinococcosis through Exhaled Breath Analysis    Next AbstractClinical studies of detecting COVID-19 from exhaled breath with electronic nose »

Rev Sci Instrum


Title:Embedded gas sensing setup for air samples analysis
Author(s):Kwiatkowski A; Drozdowska K; Smulko J;
Address:"Faculty of Electronics, Telecommunications and Informatics, and Digital Technologies Center, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland"
Journal Title:Rev Sci Instrum
Year:2021
Volume:92
Issue:7
Page Number:74102 -
DOI: 10.1063/5.0050445
ISSN/ISBN:1089-7623 (Electronic) 0034-6748 (Linking)
Abstract:"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"
Keywords:
Notes:"PubMed-not-MEDLINEKwiatkowski, Andrzej Drozdowska, Katarzyna Smulko, Janusz eng 2021/08/04 Rev Sci Instrum. 2021 Jul 1; 92(7):074102. doi: 10.1063/5.0050445"

 
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