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An eNose-based method performing drift correction for online VOC detection under dry and humid conditions

Erstveröffentlichung
2020
Authors
Jaeschke, Carsten
Glöckler, Johannes
Padilla, Marta
Mitrovics, Jan
Mizaikoff, Boris
Wissenschaftlicher Artikel


Published in
Analytical Methods ; 12 (2020), 39. - S. 4724-4733. - ISSN 1759-9660. - eISSN 1759-9679
Link to publication
https://dx.doi.org/10.1039/d0ay01172j
Faculties
Fakultät für Naturwissenschaften
Institutions
Institut für Analytische und Bioanalytische Chemie
EU Project uulm
VOGAS / Screening of Gastric Cancer via Breath volatile organic compounds by Hybrid Sensing Approach / EC / H2020 / 824986
DFG Project THU
GRK 2203 / PULMOSENS / Mikro- und nanoskalige Sensorik für die Lunge / DFG / 278012962
Subject headings
[Free subject headings]: ELECTRONIC NOSE | MASS-SPECTROMETRY | EXHALED BREATH | SENSOR ARRAYS | LUNG-CANCER | GAS SENSORS | ORIGIN | AIR | CLASSIFICATION | BIOMARKERS
[DDC subject group]: DDC 500 / Natural sciences & mathematics | DDC 540 / Chemistry & allied sciences | DDC 600 / Technology (Applied sciences)

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