(170a) Intelligent E-Nose System: Materials Discovery to Wearable Device

Electronic detection of gaseous molecules is rapidly emerging as an alternative to the conventional detection methods because of the small size, low-power consumption, and improved sensing performance. In this presentation, we will discuss the development of smart electronic-nose (E-nose) systems with superior sensing performance. To mimic biological olfactory systems, we optimized the high-density sensor array architecture by vertical integration of unique combinations of libraries of nanoengineered materials to identify and quantify target analytes where the sensing performance was maximized by nano- and defect- engineering of materials. Once sensor response data has been collected using high-throughput screening systems, machine learning techniques were utilized to select the optimal subset of sensor elements for detecting analytes. Manufacturability of devices were demonstrated by prototyping a wearable E-nose watch using a combination of industry-standard printed circuit board manufacturing techniques and proven, scalable, additive manufacturing techniques developed in our lab.