Optimizing an array of self adapted temperature modulated metal oxide sensors for biomedical application

In the last years, we introduced a method aimed at creating a self-adaptive temperature profile that is generated by the sensor itself according to the characteristics of the sample at which it is exposed. Starting from the preliminary experimental evidences, in this work we introduced a novel baseline drift counteraction method to improve the stability of the responses of an array of three commercial self-adapted temperature modulation gas sensors. To further validate the proposed method, we have considered two experiments. In the first experiment, the performances of the proposed method have been compared with those obtained with the standard modulation as thermal ramp in the identification of three volatile compounds (Carbon monoxide, Hydrogen, Methane) at different concentrations. In the second experiment the proposed approach has been tested in the discrimination of three different bacteria strain culture lines.