A Novel Modular eNose System Based on Commercial MOX Sensors to Detect Low Concentrations of VOCs for Breath Gas Analysis
Autor: | Leila Tamina Hagemann, Boris Mizaikoff, Marta Padilla, Kaylen E. Richardson, Carsten Jaeschke, Jan Mitrovics, Francesc Adrover, Johannes Glöckler, Oriol Gonzalez |
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Přispěvatelé: | European Union (EU), Horizon 2020 |
Rok vydání: | 2018 |
Předmět: |
Spectrum analyzer
DDC 540 / Chemistry & allied sciences Materials science breath gas analysis VOC (Ökologische Chemie) lcsh:A Digital 01 natural sciences Temperature measurement eNose 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Sensor array VOC (��kologische Chemie) Process engineering MOX fuel Volume concentration analog business.industry VOC 010401 analytical chemistry MOX Modular design 0104 chemical sciences Pentane Breath gas analysis chemistry 030220 oncology & carcinogenesis ddc:540 lcsh:General Works business commercial sensors |
Zdroj: | Proceedings Proceedings, Vol 2, Iss 13, p 993 (2018) |
ISSN: | 2504-3900 |
DOI: | 10.3390/proceedings2130993 |
Popis: | In this work, a new generation of eNose systems particularly suited for exhaled breath gas analysis is presented. The developed analyzer system comprises a compact modular, low volume, temperature controlled sensing chamber explicitly tested for the detection of acetone, isoprene, pentane and isopropanol. The eNose system sensing chamber consists of three compartments, each of which can contain 8 analog Metal Oxide (MOX) sensors or 10 digital MOX sensors. Additional sensors within the digital compartment allow for pressure, humidity and temperature measurements. The presented eNose system contains a sensor array with up to 30 physical sensors and provides the ability to discriminate between low VOC concentrations under dry and humid conditions. The MOX sensor signals were analyzed by pattern recognition methods. |
Databáze: | OpenAIRE |
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