(343f) Evaluating the Fitness of Combinations of Adsorbents for Quantitative Gas Sensor Arrays
AIChE Annual Meeting
2021
2021 Annual Meeting
Topical Conference: Sensors
General Poster Session in Sensors
Tuesday, November 9, 2021 - 3:30pm to 5:00pm
We propose a mathematical method to evaluate the fitness of combinations of MOFs, based on their adsorption properties, for quantitative gas sensor arrays. This method enables the virtual screening of MOF-based gas sensor arrays, moving from trial-and-error sensor array development to design. First, we frame gas sensing as an inverse problem. While the (routine) forward problem is to predict the mass of gas adsorbed in each MOF when immersed in a gas mixture of a given composition, the inverse problem is to predict the gas composition from the observed masses of adsorbed gas in the MOFs of the array. The fitness of a given combination of MOFs for gas sensing is then determined by the conditioning of its inverse problem: the prediction of the gas composition provided by a fit (unfit) combination of MOFs is insensitive (sensitive) to inevitable errors in the measurements of the mass of gas adsorbed in each MOF.