2010
DOI: 10.1002/elan.201000034
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Distinguishing Among Gases with a Semiconductor Sensor Depending on the Frequency Modulation of a Cyclic Temperature

Abstract: A gas-sensing system based on a dynamic nonlinear response shows enhanced selectivity of the sensor response toward sample vapors. A cyclic temperature composed of fundamental and 1.5-th harmonics was applied to a SnO 2 semiconductor gas sensor and the resulting conductance of the sensor was evaluated by a polynomial approximation. The dynamic nonlinear responses to the samples were further characterized by the addition of 1.5-th harmonic perturbation as a frequency modulation. These characteristic sensor resp… Show more

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Cited by 3 publications
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“…Temperature modulation has successfully enhanced the selectivity of (thick/thin) SnO 2 in distinguishing a single or multicomponent by applying certain modulation or analysis for optimum result as reported in [4][5][6], even on catalytic gas sensor [7]. Moreover, it also succeeded on the TGSs [8][9][10][11]. In the early investigation of this technique, pulse/thermalcycling technique was used which mostly was applied on TGSs as reported by Lee and Reedy [1].…”
Section: Introductionmentioning
confidence: 99%
“…Temperature modulation has successfully enhanced the selectivity of (thick/thin) SnO 2 in distinguishing a single or multicomponent by applying certain modulation or analysis for optimum result as reported in [4][5][6], even on catalytic gas sensor [7]. Moreover, it also succeeded on the TGSs [8][9][10][11]. In the early investigation of this technique, pulse/thermalcycling technique was used which mostly was applied on TGSs as reported by Lee and Reedy [1].…”
Section: Introductionmentioning
confidence: 99%