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Capturing CO2 under Dry and Humid Conditions

When Does the Parent MOF Outperform the MTV MOF?

Journal Article (2025)
Author(s)

Chunyu Huang (TU Delft - ChemE/Catalysis Engineering)

Seyyed Abbas Noorian Najafabadi (TU Delft - ChemE/Catalysis Engineering, Università degli Studi di Padova)

Jelco Albertsma (TU Delft - ChemE/Catalysis Engineering)

Willy Rook (TU Delft - ChemE/O&O groep)

Marcus Fischer (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Martin Hartmann (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Monique Ann van der Veen (TU Delft - ChemE/Catalysis Engineering)

Research Group
ChemE/Catalysis Engineering
DOI related publication
https://doi.org/10.1021/acs.inorgchem.5c02921
More Info
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Publication Year
2025
Language
English
Research Group
ChemE/Catalysis Engineering
Issue number
37
Volume number
64
Pages (from-to)
18916-18924
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Abstract

A key challenge in capturing CO2 from postcombustion gases is humidity due to competitive adsorption between CO2 and H2O. Multivariate (MTV) metal-organic frameworks (MOFs) have been considered a promising option to address this problem, e.g., combining CO2-affinitive and hydrophobic groups. Here, we synthesized a series of amine and methyl cofunctionalized MTV MIL-53(Al)-xNH2(1 - x)CH3 and their parent materials. All the mixed linker MIL-53(Al)-xNH2(1 - x)CH3 showed amino linker enrichment compared to the synthesis ratio, yet the linkers were distributed relatively homogeneously from the bulk to the surface. Material hydrophobicity or hydrophilicity varied with methyl or amino group content, respectively. The single-component adsorption indicated that certain mixed linker MIL-53(Al)-xNH2(1 - x)CH3 might outcompete the parent materials. In CO2-H2O competitive adsorption, however, the hydrophobic parental MIL-53(Al)-CH3 outperformed the mixed linker MOFs. CO2 adsorption capacities of 5.4, 4.9, and 3.6 wt % were found for 0.3 bar of CO2 under 0, 5, and 10% RH, respectively. The results highlight that materials with enhanced hydrophobicity and tight-fitting pores can outperform groups with high CO2 affinity in the CO2 capture under humid conditions.