Genetic Algorithm Design of MOF-based Gas Sensor Arrays for CO₂-in-Air Sensing.

ABSTRACT: Gas sensor arrays, also known as electronic noses, leverage a diverse set of materials to identify the components of complex gas mixtures. Metal-organic frameworks (MOFs) have emerged as promising materials for electronic noses due to their high-surface areas and chemical as well as structural tunability. Using our recently reported genetic algorithm design approach, we examined a set of 50 MOFs and searched through over 1.125 × 10¹⁵ unique array combinations to identify optimal arrays for the detection of CO₂ in air. We found that despite individual MOFs having lower selectivity for O₂ or N₂ relative to CO₂, intelligently selecting the right combinations of MOFs enables accurate prediction of the concentrations of all components in th

SUBMITTER: Day BA 

PROVIDER: S-EPMC7039381 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature