Multigas Differentiation With Individual Electrochemical Gas Sensors

Abstract

Existing gas sensors are low cost and operate at low power. However, their high gas cross sensitivity reduces their acceptance for reliable monitoring of ambient environmental pollutants, indoor air quality, breath biomarkers, and many other applications. Thus, at present, traditional analytical instruments are used for accurate gas detection and multigas differentiation. These popular instruments unfortunately require periodic maintenance and demand a lot of electrical power even in their fieldable formats. A competing technology is individual multiresponse (a.k.a. multivariable) sensors to meet contemporary gas monitoring needs. In this letter, we present results on two methodologies to achieve multigas differentiation with individual amperometric electrochemical sensors. In one methodology, a sensor was operated at two modulated bias levels. In the second methodology, a sensor was operated with impedance and direct current readouts at one or two bias levels. For multigas differentiation, a standard unsupervised multivariate data analysis was sufficient. This direction in multigas detection with individual multiresponse (multivariable) sensors will compete with traditional instruments and will improve the “3S” sensor system characteristics—sensitivity, selectivity, and stability, facilitating green analytical chemistry implementations and leading to positive societal impact.