Publication

All-in-one Microfluidic Platform Laboratory

Journal

Disclosing the Role of Defect-Engineered Metal-Organic Frameworks in Mixed Matrix Membranes for Efficient CO2 Separation: A Joint Experimental-Computational Exploration
Author
Tae Hoon Lee
Co-author
Aydin Ozcan, Inho Park, Dong Fan, Jun Kyn Jang, Paulo G.M. Mileo, Seung Yeon Yoo, Ji Soo Roh, Jun Hyeok Kang, Byung Kwan Lee, Young Hoon Cho, Rocio Semino, Hyo Won Kim, Guillaume Maurin*, Ho Bum Park*
Journal
Advanced Functional Materials
Vol
31
Page
2103973
Year
2021
Incorporation of defects in metal–organic frameworks (MOFs) offers new opportunities for manipulating their microporosity and functionalities. The so-called “defect engineering” has great potential to tailor the mass transport properties in MOF/polymer mixed matrix membranes (MMMs) for challenging separation applications, for example, CO2 capture. This study first investigates the impact of MOF defects on the membrane properties of the resultant MOF/polymer MMMs for CO2 separation. Highly porous defect-engineered UiO-66 nanoparticles are successfully synthesized and incorporated into a CO2-philic crosslinked poly(ethylene glycol) diacrylate (PEGDA) matrix. A thorough joint experimental/simulation characterization reveals that defect-engineered UiO-66/PEGDA MMMs exhibit nearly identical filler–matrix interfacial properties regardless of the defect concentrations of their parental UiO-66 filler. In addition, non-equilibrium molecular dynamics simulations in tandem with gas transport studies disclose that the defects in MOFs provide the MMMs with ultrafast transport pathways mainly governed by diffusivity selectivity. Ultimately, MMMs containing the most defective UiO-66 show the most enhanced CO2/N2 separation performance—CO2 permeability = 470 Barrer (four times higher than pure PEGDA) and maintains CO2/N2 selectivity = 41—which overcomes the trade-off limitation in pure polymers. The results emphasize that defect engineering in MOFs would mark a new milestone for the future development of optimized MMMs.