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Ionic Functionalization of Multivariate Covalent Organic Frameworks to Achieve an Exceptionally High Iodine‐Capture Capacity
Author(s) -
Xie Yaqiang,
Pan Tingting,
Lei Qiong,
Chen Cailing,
Dong Xinglong,
Yuan Youyou,
Shen Jie,
Cai Yichen,
Zhou Chunhui,
Pinnau Ingo,
Han Yu
Publication year - 2021
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.202108522
Subject(s) - adsorption , covalent bond , ionic bonding , chemistry , iodine , reusability , ionic strength , multivariate statistics , surface modification , chemical engineering , aqueous solution , organic chemistry , ion , computer science , software , engineering , programming language , machine learning
Adsorption‐based iodine (I 2 ) capture has great potential for the treatment of radioactive nuclear waste. In this study, we apply a “multivariate” synthetic strategy to construct ionic covalent organic frameworks (iCOFs) with a large surface area, high pore volume, and abundant binding sites for I 2 capture. The optimized material iCOF‐AB‐50 exhibits a static I 2 uptake capacity of 10.21 g g −1 at 75 °C and a dynamic uptake capacity of 2.79 g g −1 at ≈400 ppm I 2 and 25 °C, far exceeding the performances of previously reported adsorbents under similar conditions. iCOF‐AB‐50 also exhibits fast adsorption kinetics, good moisture tolerance, and full reusability. The promoting effect of ionic groups on I 2 adsorption has been elucidated by experimentally identifying the iodine species adsorbed at different sites and calculating their binding energies. This work demonstrates the essential role of balancing the textural properties and binding sites of the adsorbent in achieving a high I 2 capture performance.