Selective and Sensitive Detection of C3 Molecules with Cu-BTC Metal-organic Framework by Means of Mass Sensitive and Work Function Based Read-out

Metal-organic frameworks (MOFs) are porous crystalline materials that are supposed to be good candidates for sensitive and selective gas sensing as they feature wide geometrical and chemical variety and are known for the capability of reversible gas adsorption. In this work Cu-BTC MOF was investigated with mass sensitive and work function based read-out focusing on the gas sensing performance of organic vapors with the same length of their organic carbon chain but different type and position of their functional group for the first time. Based on the simultaneous evaluation of both read-outs a differentiation between C3 molecules is proposed.