An eNose-based method performing drift correction for online VOC detection under dry and humid conditions
Erstveröffentlichung
2020
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/d0ay01172jFaculties
Fakultät für NaturwissenschaftenInstitutions
Institut für Analytische und Bioanalytische ChemieEU 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)