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Autor

  • Schütze, A. (4)
  • Tiebe, Carlo (2)
  • Bartholmai, Matthias (1)
  • Bastuck, M. (1)
  • Baur, T. (1)
  • Mull, B. (1)
  • Richter, Matthias (1)
  • Sauerwald, T. (1)

Erscheinungsjahr

  • 2019 (1)
  • 2018 (3)

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  • Calibration transfer (1)
  • Environmental monitoring (1)
  • Gas mixing system (1)
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  • Sensor aging and poisoning (1)
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Organisationseinheit der BAM

  • 8 Zerstörungsfreie Prüfung (3)
  • 8.1 Sensorik, mess- und prüftechnische Verfahren (3)
  • 4 Material und Umwelt (1)
  • 4.2 Materialien und Luftschadstoffe (1)

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Sensor network deployment (2018)
Bartholmai, Matthias ; Schütze, A.
Content • Fixed monitoring stations • Mobile monitoring stations (on trams, buses, cars) • Personal mobile monitoring systems • Environmental monitoring for agriculture and beyond • Sensors on flying platforms
Comparison of ppb-level gas measurements with a metal-oxide semiconductor gas sensor in two independent laboratories (2018)
Bastuck, M. ; Baur, T. ; Richter, Matthias ; Mull, B. ; Schütze, A. ; Sauerwald, T.
In this work, we use a gas sensor system consisting of a commercially available gas sensor in temperature cycled operation. It is trained with an extensive gas profile for detection and quantification of hazardous volatile organic compounds (VOC) in the ppb range independent of a varying background of other, less harmful VOCs and inorganic interfering gases like humidity or hydrogen. This training was then validated using a different gas mixture generation apparatus at an independent lab providing analytical methods as reference. While the varying background impedes selective detection of benzene and naphthalene at the low concentrations supplied, both formaldehyde and total VOC can well be quantified, after calibration transfer, by models trained with data from one system and evaluated with data from the other system. The lowest achievable root mean squared errors of prediction were 49 ppb for formaldehyde (in a concentration range of 20–200 ppb) and 150 μg/m³ (in a concentration range of 25–450 μg/m³) for total VOC. The latter uncertainty improves to 13 μg/m³ with a more confined model range of 220–320 μg/m³. The data from the second lab indicate an interfering gas which cannot be detected analytically but strongly influences the sensor signal. This demonstrates the need to take into account all sensor relevant gases, like, e.g., hydrogen and carbon monoxide, in analytical reference measurements.
Gas sensor characterization and calibration (2018)
Schütze, A. ; Tiebe, Carlo
This seminar contribution contains the topics: 3S - sensitivity, selectivity and stability; sensor drift, aging and poisoning; influence of ambient conditions; gas mixing systems for sensor characterization and on-site field (re)calibration.
Gas sensor characterization and calibration (2019)
Tiebe, Carlo ; Schütze, A.
The lecture about gas sensor characterization and calibration contains the content of 3S: Sensitivity, selectivity and stability, sensor drift, aging and poisoning as well as gas mixing systems for laboratory and field calibration, measurement uncertainty for sensor calibration and traceable calibration of gas sensor systems.
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