Digital back end, controlling and optimizing an analog front end to measure an array of nanomaterial-based gas sensors, supplying data to pattern recognition algorithms

A sensor system comprising:

• a 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 interacting with gaseous chemical compounds;
• an analog front-end coupled with the sensor array and configured to detect the alteration in the resistance or capacitance and produce an analog signal indicative thereof, and convert the analog signal to a digital signal, the analog-front end comprising an Analog-to-Digital (ADC);
• a temperature and humidity sensor;
• and
• a digital back end coupled with the analog-front end and configured to control the analog front-end, the digital backend comprising:
• memory comprising, algorithms, models and instructions,
• a microcontroller coupled with the memory, the instructions configured to cause the microcontroller to dynamically optimizes the analog signal by:
• calculating, storing, and setting the gain for each of a plurality of sensor channel, wherein each channel is associated with a sensing element, prior to conversion by the ADC, and
• increasing the signal-to-noise ratio through various oversampling factors.