CO2 adsorption on ionic liquid-modified cupper terephthalic acid metal organic framework grown on quartz crystal microbalance electrodes

Background: Metal-organic frameworks (MOFs) has shown ability in adsorption and separation of gases. Recently, for enhancement of efficiency of MOFs in gas adsorption, impregnation with ionic liquids are more attention. Therefore in this research, CO2 adsorption performance of Cu2(BDC)2 (Cu-MOF) and Cu3(H2N-BDC)2 (Cu- MOF-NH2) impregnated with cholinium-amino acid ionic liquids were investigated.Methods: To improve adsorption performance, MOF was grown on the gold electrode of a quartz-crystal mi- crobalance (QCM) which was patterned using micro-contact printing (mu CP). The synthesized MOFs thin-films characterized using attenuated total reflective-Fourier transform infrared (ATR-FTIR) spectroscopy and their morphology investigated by scanning electron microscopy (SEM). Significant finds: CO2 adsorption isotherms of the Cu-MOF, Cu-MOF-NH2 thin-films, and impregnated Cu-MOF with three choline amino acid-based ionic liquids (choline arginate ([Cho][Arg], choline Tyrosinate ([Cho] [Tyr] and choline prolinate ([Cho][Pro]) were measured at temperatures range of 283.15-303.15 K and pres- sures up to 5 bar. A hybrid law (Henry-Redlich-Peterson) were successfully used to correlation experimental adsorption. The results reveal that Cu-MOF-NH2 has CO2 adsorption of 2.5 times higher than that of Cu-MOF at 5 bar and 298.15 K. Also the results reveal that [Cho][Arg]/ Cu-MOF has CO2 adsorption of 2.97 times higher than that of Cu-MOF at 5 bar and 298.15 K which helps to guide the logical design of new mixtures for gas separation applications.

Automated summary

This research investigates the CO2 adsorption performance of Cu2(BDC)2 (Cu-MOF) and Cu3(H2N-BDC)2 (Cu-MOF-NH2) impregnated with cholinium-amino acid ionic liquids. The results reveal that Cu-MOF-NH2 has a 2.5 times higher CO2 adsorption than Cu-MOF, and the [Cho][Arg]/Cu-MOF has a 2.97 times higher CO2 adsorption than Cu-MOF, which helps guide the logical design of new mixtures for gas separation applications.