Electronic Nose for Improved Environmental Methane Monitoring.

ABSTRACT: Reducing emissions of the key greenhouse gas methane (CH₄) is increasingly highlighted as being important to mitigate climate change. Effective emission reductions require cost-effective ways to measure CH₄ to detect sources and verify that mitigation efforts work. We present here a novel approach to measure methane at atmospheric concentrations by means of a low-cost electronic nose strategy where the readings of a few sensors are combined, leading to errors down to 33 ppb and coefficients of determination, R², up to 0.91 for in situ measurements. Data from methane, temperature, humidity, and atmospheric pressure sensors were used in customized machine learning models to account for environmental cross-effects and quantify methane in the ppm-ppb ran

SUBMITTER: Domenech-Gil G 

PROVIDER: S-EPMC10785752 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature