Nanoporous amide networks based on tetraphenyladamantane for selective CO2capture

Sonia Zulfiqar, Daniele Mantione, Omar El Tall, Muhammad Ilyas Sarwar, Fernando Ruipérez, Alexander Rothenberger, David Mecerreyes

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Reduction of anthropogenic CO2 emissions and CO2 separation from post-combustion flue gases are among the imperative issues in the spotlight at present. Hence, it is highly desirable to develop efficient adsorbents for mitigating climate change with possible energy savings. Here, we report the design of a facile one pot catalyst-free synthetic protocol for the generation of three different nitrogen rich nanoporous amide networks (NANs) based on tetraphenyladamantane. Besides the porous architecture, CO2 capturing potential and high thermal stability, these NANs possess notable CO2/N2 selectivity with reasonable retention while increasing the temperature from 273 K to 298 K. The quantum chemical calculations also suggest that CO2 interacts mainly in the region of polar amide groups (-CONH-) present in NANs and this interaction is much stronger than that with N2 thus leading to better selectivity and affirming them as promising contenders for efficient gas separation. © The Royal Society of Chemistry 2016.
Original languageEnglish (US)
Pages (from-to)8190-8197
Number of pages8
JournalJ. Mater. Chem. A
Volume4
Issue number21
DOIs
StatePublished - 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Dr Sonia Zulfiqar is very thankful for the financial support provided by the Marie Curie IIF grant "NABPIL" (No. 629050) from the European Commission under the 7th Framework Programme (FP7-PEOPLE-2013-IIF) and also appreciate the cooperation of Dr Jose Ignacio Santos for Solid State NMR facility, Inigo Perez Miqueo for BET measurements and Dr Monica Moreno for administrative support from UPV/EHU, San Sebastian, Spain. The authors would like to thank for technical and human support provided by IZO-SGI SGIker of UPV/EHU and European funding (ERDF and ESF). Daniele Mantione is very grateful for financial support provided through EU project FP7-PEOPLE-212-ITN 316832-OLIMPIA.

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