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Published September 21, 2017 | Supplemental Material
Journal Article Open

Understanding CO_2 capture mechanisms in aqueous hydrazine via combined NMR and first-principles studies

Abstract

Aqueous amines are currently the most promising solution for large-scale CO_2 capture from industrial sources. However, molecular design and optimization of amine-based solvents have proceeded slowly due to a lack of understanding of the underlying reaction mechanisms. Unique and unexpected reaction mechanisms involved in CO_2 absorption into aqueous hydrazine are identified using ^1H, ^(13)C, and ^(15)N NMR spectroscopy combined with first-principles quantum-mechanical simulations. We find production of both hydrazine mono-carbamate (NH_2-NH-COO^−) and hydrazine di-carbamate (^−OOC-NH-NH-COO^−), with the latter becoming more populated with increasing CO_2 loading. Exchange NMR spectroscopy also demonstrates that the reaction products are in dynamic equilibrium under ambient conditions due to CO_2 exchange between mono-carbamate and di-carbamate as well as fast proton transfer between un-protonated free hydrazine and mono-carbamate. The exchange rate rises steeply at high CO_2 loadings, enhancing CO_2 release, which appears to be a unique property of hydrazine in aqueous solution. The underlying mechanisms of these processes are further evaluated using quantum mechanical calculations. We also analyze and discuss reversible precipitation of carbamate and conversion of bicarbonate to carbamates. The comprehensive mechanistic study provides useful guidance for optimal design of amine-based solvents and processes to reduce the cost of carbon capture. Moreover, this work demonstrates the value of a combined experimental and computational approach for exploring the complex reaction dynamics of CO_2 in aqueous amines.

Additional Information

© 2017 Owner Societies. Received 20th July 2017, Accepted 18th August 2017. First published on 18th August 2017. This work was supported by the Korea CCS R&D Center Grant funded by the Korea government (Ministry of Science, ICT & Future Planning, 2013M1A8A1035853 and 2014M1A8A1049270). G. S. H. would also like to thank the R. A. Welch Foundation (No. F-1535). K. H. L. thanks the Research Institute for Basic Science in Sogang University. The NMR facility at the California Institute of Technology was supported by the National Science Foundation (NSF) under Grant Number 9724240 and partially supported by the MRSEC Program of the NSF under Award Number DMR-520565. The Texas Advanced Computing Center is also acknowledged for providing High Performance Computation resources. N. H. H., G. S. H., B. L., and S.-J. H. designed research; K. H. L., B. L., S.-J. H. performed experiments, and H. M. S., E. P., and G. S. H. carried out calculations; B. L., H. M. S., N. H. H., S.-J. H., and G. S. H. analyzed data and wrote the paper. There are no conflicts to declare.

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August 19, 2023
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