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In this paper we study the effect of hexamethyldisiloxane (HMDSO) vapor onan SnO<sub>2</sub>-based gas sensor (GGS 1330, UST Umweltsensortechnik GmbH,Geschwenda, Germany) in a temperature cycled operation (TCO). We show thatHMDSO poisoning can be quantified at early stages (85 to 340 ppm × min)with a resolution of ±85 ppm × min using TCO. This novelapproach for sensor self-monitoring provides a simple method for earlydetection of HMDSO poisoning. It is thereby possible to detect poisoningbefore the sensor function is strongly impaired. In this paper we show thatby using an appropriate normalization of the sensor data, the stability of gasdiscrimination by linear discriminant analysis (LDA) can be improved, whichin turn facilitates a more accurate determination of the poisoning state bya hierarchical LDA discrimination.  For a specific temperature cycle and feature extraction approach, we showthat identification of ethanol and carbon monoxide is still possible afterpoisoning with 900 ppm × min HMDSO, i.e. a HMDSO poisoning dose more thantwice as high as required by DIN EN 50194-1

A novel approach for detecting HMDSO poisoning of metal oxide gas sensors and improving their stability by temperature cycled operation