(552e) Scalable Nanoporous Networks for Carbon Capture Via Solid-State NMR Spectroscopy | AIChE

(552e) Scalable Nanoporous Networks for Carbon Capture Via Solid-State NMR Spectroscopy

Authors 

Mao, H. - Presenter, University of California, Berkeley
Reimer, J. A., University of California - Berkeley
Cui, Y., Stanford University
Halat, D., UC Berkeley
Sustainable carbon capture, utilization, and sequestration (CCUS) reduces CO2 emissions and is critical in accomplishing carbon neutrality targets. Here, we demonstrate new sustainable, solid-state, polyamine-appended, cyanuric acid-stabilized, melamine nanoporous networks (MNNs) via dynamic combinatorial chemistry (DCC) at the kilogram scale towards effective, scalable, recyclable, and high-capacity CO2 capture. Our solid-state MNNs solves the long-standing problem of solvent degradation, equipment corrosion, and environmental leakage faced by traditional solvent methods with cheap solid raw materials (melamine and formaldehyde) through a facile synthesis method. Polyamine-appended MNNs reaction mechanisms with CO2 were elucidated with double-level dynamic combinatorial chemistry. 2D heteronuclear chemical shift correlation (HETCOR) nuclear magnetic resonance (NMR) spectroscopy was performed to demonstrate the interatomic interactions between H and C atoms in the CO2 reaction species at an atomic level. With quantitative NMR and density functional theory (DFT), we identified the reaction structure during CO2 chemisorption, where ammonium carbamate pairs and a mix of ammonium carbamate and carbamic acid are easily distinguished. The coordination of polyamine and cyanuric acid modification endows the networks with high adsorption capacity (1.82 mmol/g at 1 bar), fast adsorption time (less than 1 min), low price ($40/ton), low regeneration energy (53 kJ/mol), and extraordinary stability to adsorption-desorption cycling by simulated flue gas. This work creates a general industrialization method towards sustainable CO2 capture using networks (e.g., polymers, covalent organic frameworks, and metal organic frameworks) via atomic-level and dynamic combinatorial chemistry design strategies with precise mechanism studies.