Sensors Converge 2024

Designs of existing gas sensors were introduced last century as single-output instruments to detect relatively high concentrations of expected gases. Performance of such sensors degrades in field applications because (1) sensors lose their accuracy in the presence of interferences and (2) variations of ambient conditions over time induce sensor drift.  Cloud and edge analytics is applied for multi-gas differentiation using arrays of single-output sensors but lacks reliable methodologies for drift elimination in the field.  We developed a new generation of gas sensors, known as multivariable sensors, that break this status quo in poor field performance of existing gas sensors. Our gas sensors are designed with several independent responses to detect multiple gases, reject interferents, and self-correct for sensor drift.  These new capabilities in our sensors are attractive in monitoring of urban pollution, medical diagnostics, and homeland security.