Asynchronous Double Schiff Base Formation of Pyrazole Porous Polymers for Selective Pd Recovery

Mousumi Garai, Manmatha Mahato, Yeongran Hong, Vepa Rozyyev, Uiseok Jeong, Zakir Ullah, Cafer T. Yavuz

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Pyrazole-linked covalent organic polymer is synthesized using an asynchronous double Schiff base from readily available monomers. The one-pot reaction features no metals as a building block or reagent, hence facilitating the structural purity and industrial scalability of the design. Through a single-crystal study on a model compound, the double Schiff base formation is found to follow syn addition, a kinetically favored product, suggesting that reactivity of the amine and carbonyls dictate the order and geometry of the framework building. The highly porous pyrazole polymer COP-214 is chemically resistant in reactive conditions for over two weeks and thermally stable up to 425 °C in air. COP-214 shows well-pronounced gas capture and selectivities, and a high CO2/N2 selectivity of 102. The strongly coordinating pyrazole sites show rapid uptake and quantitative selectivity of Pd (II) over several coordinating metals (especially Pt (II)) at all pH points that are tested, a remarkably rare feature that is best explained by detailed analysis as the size-selective strong coordination of Pd onto pyrazoles. Density functional theory (DFT) calculations show energetically favorable Pd binding between the metal and N-sites of COP-214. The polymer is reusable multiple times without loss of activity, providing great incentives for an industrial prospect.
Original languageEnglish (US)
Pages (from-to)2001676
JournalAdvanced Science
DOIs
StatePublished - Mar 2 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-03-05
Acknowledgements: This research was supported by the Nano-Material Technology Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2017M3A7B4042140 and NRF-2017M3A7B4042235) and startup funds from the King Abdullah University of Science and Technology (KAUST).

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