Comparison of ppb-level gas measurements with a metal-oxide semiconductor gas sensor in two independent laboratories

Bastuck, M.; Baur, Tobias; Richter, Matthias; Mull, Birte; Schütze, Andreas; Sauerwald, Tilman

doi:10.1016/j.snb.2018.06.097

Cited by 15 publications

(12 citation statements)

References 35 publications

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“…Indeed, predicting LMT data with a model trained on BAM data results in a very small prediction error of 32 µg/m 3 with 3 LVs (Figure 11.7). An even smaller error was reported in [270] with 13 LVs, but, as before, the use of anchor points in the training produced a more reliable but still well-performing model. 12.…”

Section: Tvoc Quantificationsupporting

confidence: 52%

“…Target gases were the VOCs benzene, naphthalene, and formaldehyde in a varying background of interferents, including harmless VOCs. The results have been published in [270] and are reevaluated in this chapter.…”

Section: Interlaboratory Studymentioning

confidence: 98%

“…Their application to gas sensor system testing is, however, just emerging. At the time of writing, only three independent interlaboratory studies to evaluate the performance of chemical gas sensor systems could be found [270]- [273] 2 , in contrast to many more for the testing of reference instruments or the validation of measured sample properties.…”

Section: Gas Sensor Calibrationmentioning

confidence: 99%

“…Environmental hydrogen and carbon monoxide can, however, pass. Many analytical methods are available in the same laboratory to determine exact gas concentrations, e. g., high performance liquid chomatography with a diode array detector (HPLC-DAD) or GC-MS [270].…”

Section: Test Gas Generationmentioning

confidence: 99%

“…Its exposure limit is 80 ppb v as compared to benzene (1 ppb v ) and naphthalene (2 ppb v ), so that the concentrations offered were around two orders of magnitude higher. In [270], a quite large validation error of 39 ppb v is reported for a model trained on the BAM dataset. This error was mainly caused by the bias of the two exposures at 0 ppb v formaldehyde.…”

Section: Formaldehyde Quantificationmentioning

confidence: 99%

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Improving the Performance of Gas Sensor Systems with Advanced Data Evaluation, Operation, and Calibration Methods

Bastuck

2019

Linköping Studies in Science and Technology. Dissertations

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In order to facilitate the widespread use of gas sensors, some challenges must still be overcome. Many of those are related to the reliable quantification of ultra-low concentrations of specific compounds in a background of other gases. This thesis focuses on three important items in the measurement chain: sensor material and operating modes, evaluation of the resulting data, and test gas generation for efficient sensor calibration. New operating modes and materials for gas-sensitive field-effect transistors have been investigated. Tungsten trioxide as gate oxide can improve the selectivity to hazardous volatile organic compounds like naphthalene even in a strong and variable ethanol background. The influence of gate bias and ultraviolet light has been studied with respect to the transport of oxygen anions on the sensor surface and was used to improve classification and quantification of different gases. DAV 3 E, an internationally recognized MATLAB-based toolbox for the evaluation of cyclic sensor data, has been developed and published as opensource. It provides a user-friendly graphical interface and specially tailored algorithms from multivariate statistics. The laboratory tests conducted during this project have been extended with an interlaboratory study and a field test, both yielding valuable insights for future, more complex sensor calibration. A novel, efficient calibration approach has been proposed and evaluated with ten different gas sensor systems. i styrning och data-utvärdering som tagits fram har både en jämförande undersökning av modellernas/metodernas prestanda av två oberoende laboratorier och fält-mätningar i en av de tilltänkta tillämpningarna genomförts. Bl.a. baserat på resultaten och insikterna från dessa övningar har ett helt nytt angreppssätt avseende robust och effektiv kalibrering och kvalitets-utvärdering av sensor-system utvecklats och utvärderats för tio olika sensor-system. v Preface This dissertation is the result of my binational doctorate supervised by Prof.

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Section: Tvoc Quantificationsupporting

confidence: 52%

Section: Interlaboratory Studymentioning

confidence: 98%