Abstract: A sensor chip includes a substrate and one or more chemo-resistive gas sensing elements attached to the substrate. Each gas sensing element provides a signal depending on one or more gases to be sensed. A catalytic gas filter arrangement includes one or more filter sections, each filter section including a cavity covered with at least one membrane. The at least one membrane is supported by a support structure and includes gas permeable pores. A surface defining the pores includes a catalytic material for degrading one or more of the gases. The gas filter arrangement is arranged so at least one of the chemo-resistive gas sensing elements is exposed to a filtered mixture of the gases in the cavity of one of the filter sections. The filtered mixture of gases is obtained by filtering the ambient mixture of the one or more gases with the one of the filter sections.

Abstract: A gas sensing device includes chemoresistive gas sensing elements, wherein a material composition of a first chemoresistive gas sensing element is similar to a material composition of a second chemoresistive gas sensing element, wherein the first chemoresistive gas sensing element is exposed to an ambient mixture of gases so that first sensing signals depend on a concentration of a first gas and on a concentration of a second gas, wherein the gas sensing device includes a gas filter so that the second sensing signals depend on the concentration of the first gas to a lesser degree than the first sensor signals and so that the second sensing signals depend on the concentration of the second gas, and wherein the gas sensing device estimates the concentration of the first gas and/or the concentration of the second gas based on the first sensing signals and the second sensing signals.

Abstract: A gas sensing device includes chemo-resistive gas sensors, wherein each of the gas sensors generates signals corresponding to concentrations of gases in a mixture of gases; a heating arrangement for heating gas sensors according to a periodic temperature profile; a preprocessing processor for receiving the signals from each of the gas sensors and for preprocessing the received signals to generate a preprocessed signal sample for each of the gas sensors for each period of the periodic temperature profile; a feature extraction processor configured for receiving the preprocessed signal samples and for extracting for each of the periods a set of feature values from the preprocessed signal samples received for the respective period; and a gas concentration processor for receiving sets of feature values.

Abstract: A gas sensing device includes chemoresistive gas sensing elements, wherein a material composition of a first chemoresistive gas sensing element is similar to a material composition of a second chemoresistive gas sensing element, wherein the first chemoresistive gas sensing element is exposed to an ambient mixture of gases so that first sensing signals depend on a concentration of a first gas and on a concentration of a second gas, wherein the gas sensing device includes a gas filter so that the second sensing signals depend on the concentration of the first gas to a lesser degree than the first sensor signals and so that the second sensing signals depend on the concentration of the second gas, and wherein the gas sensing device estimates the concentration of the first gas and/or the concentration of the second gas based on the first sensing signals and the second sensing signals.

Abstract: A method for manufacturing an electronic component includes providing a substrate and a functional layer supported by the substrate; forming a structured protection layer on a side of the substrate to which the functional layer is attached, wherein the structured protection layer has a recess so that a portion of the functional layer is exposed; applying a dispersion comprising a solvent and electrically conductive components to the exposed portion of the functional layer so that the recess is at least partially filled with the dispersion; drying the dispersion in order to create an electrically conductive layer; and removing the structured protection layer.

Abstract: A gas sensing device includes chemo-resistive gas sensors; heating elements for heating each of the gas sensors; an information extraction block for receiving signal samples and for generating representations for the received signal samples; and a decision making block configured for receiving the representations, wherein the decision making block comprises a weighting block and a trained model based algorithm stage, wherein the weighting block receives feature samples of the representations and applies time-variant weighting functions to the feature samples of the respective representation in order to calculate a weighted representation including weighted feature samples.

Abstract: A temperature-regulated chemi-resistive gas sensor includes a sensor surface including a chemically sensitive sensor layer including an active material for adsorbing and desorbing gas molecules of an analyte gas. A predetermined time-continuous periodic temperature profile is applied for periodically heating the sensor surface. An electrical sensor layer conductance signal is determined and time windows are applied to the sensor layer conductance signal. For one or more of the time windows, discrete frequency spectrum data of the sensor layer conductance signal is obtained, and a current gas concentration of the analyte gas is determined based on the obtained discrete frequency spectrum data.

Abstract: A gas sensing device comprises a sensing unit for sensing a target gas, the sensing unit comprising a carbon-based sensing layer which is sensitive to the target gas. The gas sensing device further comprises a controller unit for monitoring an exposure of the sensing layer to the target gas. The controller unit further initializes a recovery sequence for the sensing unit depending on an exposure of the sensing unit to the target gas. Further, the gas sensing device comprises a heating electrode for heating the sensing layer during the recovery sequence.

Abstract: A gas sensing device includes chemoresistive gas sensing elements, wherein a material composition of a first chemoresistive gas sensing element is similar to a material composition of a second chemoresistive gas sensing element, wherein the first chemoresistive gas sensing element is exposed to an ambient mixture of gases so that first sensing signals depend on a concentration of a first gas and on a concentration of a second gas, wherein the gas sensing device includes a gas filter so that the second sensing signals depend on the concentration of the first gas to a lesser degree than the first sensor signals and so that the second sensing signals depend on the concentration of the second gas, and wherein the gas sensing device estimates the concentration of the first gas and/or the concentration of the second gas based on the first sensing signals and the second sensing signals.

Abstract: A method for manufacturing an electronic component includes providing a substrate and a functional layer supported by the substrate; forming a structured protection layer on a side of the substrate to which the functional layer is attached, wherein the structured protection layer has a recess so that a portion of the functional layer is exposed; applying a dispersion comprising a solvent and electrically conductive components to the exposed portion of the functional layer so that the recess is at least partially filled with the dispersion; drying the dispersion in order to create an electrically conductive layer; and removing the structured protection layer.

Abstract: According to an embodiment, a composite material includes a graphene material, a carbon nanotube material, and a metal-containing material including at least one metal element.

Abstract: A gas sensing device includes chemo-resistive gas sensors; heating elements for heating each of the gas sensors; an information extraction block for receiving signal samples and for generating representations for the received signal samples; and a decision making block configured for receiving the representations, wherein the decision making block comprises a weighting block and a trained model based algorithm stage, wherein the weighting block receives feature samples of the representations and applies time-variant weighting functions to the feature samples of the respective representation in order to calculate a weighted representation including weighted feature samples.