Publications


Title : Discrimination and Quantification of Flammable Gases with a SnO2 Sniffing Sensor

Language: English
Type: Article
Authors: Satoshi Nakata, Tomoko Nakamura, Kimiko Kato, Yo Kato and Kenichi Yoshikawa
Journal: Analyst
ISSN: 0003-2654
Volume: 125
Number: 3
Year: 2000
Actual year: 2000
Pages: 517-522
doi:   10.1039/a909331a
Abstract: Sample gases (methane, ethane, propane, CO, and ethylene) can be quantitatively and qualitatively distinguished using an artificial 'sniffing' system based on the nonlinear dynamic response of a SnO2 semiconductor gas sensor. In this system, the sample gas is periodically blown onto the sensor using an electric fan, and the resulting output conductance of the sensor is analyzed by complex fast Fourier transformation (FFT). The higher harmonics of the complex FFT characterize the time-dependent nonlinear properties of the response depending on the gas species. The nonlinear dynamic response using this 'sniffing' system is discussed in terms of the kinetics of the gas species at the sensor surface.

"Discrimination and Quantification of Flammable Gases with a SnO2 Sniffing Sensor"

Satoshi Nakata, Tomoko Nakamura, Kimiko Kato, Yo Kato and Kenichi Yoshikawa, Analyst, 125, 517-522 (2000)