Abstract: A sensor system in a package, comprising: a package, the package including: a sensor chip comprising sensor array comprising a plurality of sensing elements, wherein each of the plurality of sensing elements are functionalized with a deposited mixture consisting of hybrid nanostructures and a molecular formulation specifically targeting at least one of a plurality of gases, and wherein each of the plurality of sensing elements comprises a resistance and a capacitance, and wherein at least one resistance and capacitance are altered when the interacting with gaseous chemical compounds; and a mixed signal System on a Chip (SoC), comprising an analog signal conditioning and Analog-to-Digital conversion circuit configured to convert the analog signal into a digital signal, and a low-power processor circuit configured to processes the digital signal using a pattern recognition system implementing gas detection and measurement algorithms.

Abstract: 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.

Abstract: 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.

Abstract: A device, comprising: an enclosure; a module within the disclosure, the module comprising: a package, the package including: a sensor chip comprising sensor array comprising a plurality of sensing elements, wherein each of the plurality of sensing elements are functionalized with a deposited mixture consisting of hybrid nanostructures and a molecular formulation specifically targeting at least one of a plurality of gases, and wherein each of the plurality of sensing elements comprises a resistance and a capacitance, and wherein at least one resistance and capacitance are altered when the interacting with gaseous chemical compounds, and a mixed signal System on a Chip (SoC), comprising an analog signal conditioning and Analog-to-Digital conversion circuit configured to convert the analog signal into a digital signal, and a low-power processor circuit configured to processes the digital signal using a pattern recognition system implementing gas detection and measurement algorithms; and a particulate matter sens

Abstract: A sensor system in a package, comprising: a package, the package including: a sensor chip comprising sensor array comprising a plurality of sensing elements, wherein each of the plurality of sensing elements are functionalized with a deposited mixture consisting of hybrid nanostructures and a molecular formulation specifically targeting at least one of a plurality of gases, and wherein each of the plurality of sensing elements comprises a resistance and a capacitance, and wherein at least one resistance and capacitance are altered when the interacting with gaseous chemical compounds; and a mixed signal System on a Chip (SoC), comprising an analog signal conditioning and Analog-to-Digital conversion circuit configured to convert the analog signal into a digital signal, and a low-power processor circuit configured to processes the digital signal using a pattern recognition system implementing gas detection and measurement algorithms.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A nanomaterial-based gas sensor system comprising a specific Platinum (Pt) patterned electrode structure is built on a Silicon (Si)/Silicon Dioxide (SiO2) substrate. The pattern is compatible with high volume manufacturing and nano gas sensor development requirements.