A nanomaterial-based gas sensor system comprising a low voltage circuitry which includes a transducer to detect changes in electrical properties of a multi-channel gas sensor array, analog signal conditioning, and an A/D conversion to provide a signal to a digital back-end.

A method for fail-safe provision of an analog output value for a control process designed for functional safety, wherein the output value is specified by a control unit as a digital output value and, in a first step, the digital output value is converted into the analog output value via a converter, in a second step, the analog output value is converted into a fail-safe digital output value using fail-safe criteria via a read-back device and, in a third step, the originally provided digital output value is compared with the converted fail-safe digital output value, where in the event of the comparison revealing a deviation or of a plausibility criterion being infringed, a safety action is performed, otherwise, the analog output value is output to the control process with the aid of a release device.

A novel approach, based on hybrid nanostructure gas sensors, to correlate metrics related to specific medical conditions to a signature created by the sensor's response to the Volatile Organic Compounds (VOCs) contained in human breath.

A microcontroller based digital back end for controlling an analog front end, to optimize power delivery, measurement, and data collection of an array of nanomaterial-based gas sensors to supply data to an integrated pattern recognition algorithm.

A method is described for identifying and quantifying single and mixed contaminants in air by reading nanohybrid gas sensors multivariate output and processing it inside the algorithm. The algorithm analyzes sensor signal in real time and outputs estimated values for concentrations of target gases.

A process for making highly sensitive nano-nucleated structures for use in room temperature nanohybrid gas sensors which utilize high surface area nanomaterials (carbon nanotubes, dichalcogenides, graphene, metal-organic frameworks, metal oxides, etc.) functionalized with atomically dispersed metal catalysts for sensing airborne environmental pollutants, and co-located with humidity sensing material for higher gas concentration measurement accuracy.

A nanomaterial-based gas sensor system comprising a low voltage circuitry which includes a transducer to detect changes in electrical properties of a multi-channel gas sensor array, analog signal conditioning, and an A/D conversion to provide a signal to a digital back-end.

A gas sensor architecture and implementation, based on hybrid nanostructures, combining a plurality of inter-dependent technologies, including chemical engineering and material science, embedded electronics at board and IC level, MEMS, data science, mobile and Cloud-based applications, to deliver a combination of performance and functional attributes in a solution that is manufacturable in very high volume and will enable the collection of highly granular information related to the presence and concentration of target gases in ambient air.

A nanomaterial-based gas sensor system comprising a specific Platinum (Pt) patterned electrode structure is built on a Silicon (Si)/Silicon Dioxide (SiO.sub.2) substrate. The pattern is compatible with high volume manufacturing and nano gas sensor development requirements.

A process for making highly sensitive nano-nucleated structures for use in room temperature nanohybrid gas sensors which utilize high surface area nanomaterials (carbon nanotubes, dichalcogenides, graphene, metal-organic frameworks, metal oxides, etc.) functionalized with atomically dispersed metal catalysts for sensing airborne environmental pollutants.