Przemyslaw M. Szecowka

TL;DR: In this paper, the simultaneous quantification of carbon monoxide and methane in humid air is presented, and the response of a three-sensor array, including an undoped and a platinum doped tin dioxide sensor showing non-ideal selectivity and a humidity sensor is fed into an optimised feed forward back propagation artificial neural network in order to obtain the carbon dioxide and methane concentration as network output.

TL;DR: In this article, the concept of two sensor systems capable of measurements and analysis of butanol/xylene and butanol-toluene mixtures is presented. Butanol and aromatic compounds are classified among the most commonly used there.

TL;DR: A neural network sensitivity analysis approach is applied for quantitative analysis of volatile organic compounds mixtures by means of commercial, tin dioxide, TGS 800 series sensors characterized in in-house developed gas chamber to obtain small but efficient array of sensors.

TL;DR: A laser Doppler vibrometer (LDV) is described in which holographic optical elements are used to provide the interferometer reference and object illumination beams.

TL;DR: In this article, the authors have managed to work out cermet composition (SnO2-Pt-black) which eliminates humidity influence on methane detection, and presented the basic characteristics of this latest SnO2 sensor.