@inproceedings{620d2b7844d5451dbb1f6d246adf4ced,
title = "Improving sensitivity and selectivity of SnO2 gas sensors by temperature variation",
abstract = "We present a microcontroller-based gas sensing system. The poor selectivity of SnO2 sensors is improved by the consideration of temperature variation. The analysis presented here exploits the differences in the steady-state performance of SnO2 gas sensors and the potential use of such differences for improving their selectivity and sensitivity. Sets of experimental measurements of sensitivity versus temperature are used for the detailed presentation of this technique. The results shown here indicate that selective identification and accurate measurement of a mixture of CH4 and CO gases is quite possible by this method. Finally, a microcontroller-based configuration is presented as a working example implementation, which may offer improved sensitivity and selectivity accuracy and reliability.",
keywords = "Costs, Gas detectors, Gases, Intelligent sensors, Microcontrollers, Sensor phenomena and characterization, Sensor systems, Temperature sensors, Thermal sensors, Voltage",
author = "J. Zakrzewski and W. Domanski and P. Chaitas and T. Laopoulos",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2nd IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems, IDAACS 2003 ; Conference date: 08-09-2003 Through 10-09-2003",
year = "2003",
doi = "10.1109/IDAACS.2003.1249569",
language = "English",
series = "Proceedings of the 2nd IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2003",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "296--299",
booktitle = "Proceedings of the 2nd IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems",
address = "United States",
}