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Catalytic filter for continuous and selective ethanol removal prior to gas sensing.

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Ethanol is a major confounder in gas sensing due to its omnipresence in indoor air and breath from disinfectants or alcoholic beverages. In fact, most modern gas sensors (e.g. graphene,… Click to show full abstract

Ethanol is a major confounder in gas sensing due to its omnipresence in indoor air and breath from disinfectants or alcoholic beverages. In fact, most modern gas sensors (e.g. graphene, carbon nanotubes or metal oxides) are sensitive to ethanol. This is challenging since ethanol is often present at higher concentrations than target analytes. Here, a simple and modular packed-bed filter is presented that selectively and continuously removes ethanol (and other alcohols like 1-butanol, isopropanol and methanol) over critical acetone, CH4, H2, toluene and benzene at 30 - 90% relative humidity. This filter consists of catalytically active ZnO nanoparticles (dBET = 55 nm) made by flame aerosol technology and annealing. Continuous oxidation of ethanol to CO2 and H2 was observed at filter temperatures above 260 °C while below, also unwanted acetaldehyde was formed. Most remarkably, ethanol concentrations up to 185 ppm were removed from exhaled breath in preliminary tests with an alcohol intoxicated volunteer, as confirmed by mass spectrometry. At the same time, almost four orders of magnitude lower (e.g. 0.025 ppm) acetone concentrations were preserved. This was superior to previous catalyst filters (e.g. CuO, SnO2 and Fe2O3) with overlapping ethanol and acetone conversions, and related to ZnO's surface basicity. The ZnO filter performance was stable (±2.5% conversion variability) for, at least, 21 days. Finally, when combined with a Si-doped WO3 sensor, the filter effectively mitigated the ethanol interference when sensing acetone without compromising the sensor's fast response and recovery times. Such catalytic filters can be combined readily with all gas sensors.

Keywords: filter continuous; gas; ethanol; catalytic filter; gas sensing

Journal Title: ACS sensors
Year Published: 2020

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