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  5. Carbon Dioxide Capture Chemistry of Amino Acid Functionalized Metal-Organic Frameworks in Humid Flue Gas

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Preprint
en
2022

Carbon Dioxide Capture Chemistry of Amino Acid Functionalized Metal-Organic Frameworks in Humid Flue Gas

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0 Files

en
2022
DOI: 10.26434/chemrxiv-2021-51rbb-v3

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Omar M Yaghi
Omar M Yaghi

University of California, Berkeley

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Hao Lyu
Oscar Iu‐Fan Chen
Nikita Hanikel
+9 more

Abstract

Metal-organic framework-808 has been functionalized with 11 amino acids (AA) to produce a series of MOF-808-AA structures. The adsorption of CO2 under flue gas conditions revealed that glycine- and DL-lysine-functionalized MOF-808 (MOF-808-Gly and -DL-Lys) have the highest uptake capacities. Enhanced CO2 capture performance in the presence of water was observed and studied using single-component sorption isotherms, CO2/H2O binary isotherm, and dynamic breakthrough measurements. The key to the favorable performance was uncovered by deciphering the mechanism of CO2 capture in the pores and attributed to the formation of bicarbonate as evidenced by 13C and 15N solid-state nuclear magnetic resonance spectroscopy studies. Based on these results, we examined the performance of MOF-808-Gly in simulated coal flue gas conditions and found that it is possible to capture and release CO2 by vacuum swing adsorption. MOF-808-Gly was cycled at least 80 times with full retention of performance. This study significantly advances our understanding of CO2 chemistry in MOFs by revealing how strongly bound amine moieties to the MOF backbone create the chemistry and environment within the pores, leading to the binding and release of CO2 under mild conditions without application of heat.

How to cite this publication

Hao Lyu, Oscar Iu‐Fan Chen, Nikita Hanikel, Mohammad I. Hossain, Robinson W. Flaig, Xiaokun Pei, Ameer Amin, Mark D. Doherty, Rebekah K. Impastato, T. Grant Glover, David R. Moore, Omar M Yaghi (2022). Carbon Dioxide Capture Chemistry of Amino Acid Functionalized Metal-Organic Frameworks in Humid Flue Gas. , DOI: https://doi.org/10.26434/chemrxiv-2021-51rbb-v3.

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Publication Details

Type

Preprint

Year

2022

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.26434/chemrxiv-2021-51rbb-v3

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