Construction of Unsaturated Coordinated Cu-Metal–Organic Frameworks for Iodine Adsorption

Radioactive iodine from nuclear energy poses serious risks to aquatic environments, driving the need for efficient adsorbents for nuclear wastewater treatment. Metal-organic frameworks (MOFs) have shown promise in iodine capture due to their tunable pores and functional surfaces. In this work, three copper-triazolate-based MOFs with unsaturated coordination (CuCl<sub>2</sub>(TRZ) for <b>1</b>, Cu<sub>4</sub>OCl<sub>3</sub>(TRZ)<sub>3</sub> for <b>2</b>, Cu<sub>3</sub>HOCl<sub>2</sub>(TRZ)<sub>3</sub>·2.4H<sub>2</sub>O for <b>3</b>; TRZ = 1,2,4-triazole) were synthesized and characterized. Compound <b>1</b> exhibits a one-dimensional chain structure, compound <b>2</b> exhibits a two-dimensional layer, and compound <b>3</b> exhibits a three-dimensional cage architecture featuring a 10 Å molecular cage with two kinds of window sizes at 5 and 7.8 Å, respectively. In the evaluation of iodine adsorption in aqueous solution, compound <b>3</b> demonstrated outstanding iodine adsorption, removing 95% of iodine from aqueous solution within 200 min and maintaining high efficiency and structural stability over four adsorption-desorption cycles. This study offers a new strategy for designing radioactive iodine adsorbents and enhances the understanding of interactions between unsaturated metal sites and iodine species.

Authors

Institutions

Publication Details

Journal
Inorganic Chemistry
Published
2025-12-23
DOI
https://doi.org/10.1021/acs.inorgchem.5c05298
Primary Topic
Covalent Organic Framework Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Construction of Unsaturated Coordinated Cu-Metal–Organic Frameworks for Iodine Adsorption

Siyue Wang, YiWei Liu, C. Y. Sun, Ange Zhang et al.
Inorganic Chemistry
Covalent Organic Framework Applications
article

Construction of Unsaturated Coordinated Cu-Metal–Organic Frameworks for Iodine Adsorption

Siyue Wang, YiWei Liu, C. Y. Sun, Ange Zhang, Shuxia Liu, Maochun Zhu, Kun Huang, Ying Lu
article en

Abstract

Radioactive iodine from nuclear energy poses serious risks to aquatic environments, driving the need for efficient adsorbents for nuclear wastewater treatment. Metal-organic frameworks (MOFs) have shown promise in iodine capture due to their tunable pores and functional surfaces. In this work, three copper-triazolate-based MOFs with unsaturated coordination (CuCl<sub>2</sub>(TRZ) for <b>1</b>, Cu<sub>4</sub>OCl<sub>3</sub>(TRZ)<sub>3</sub> for <b>2</b>, Cu<sub>3</sub>HOCl<sub>2</sub>(TRZ)<sub>3</sub>·2.4H<sub>2</sub>O for <b>3</b>; TRZ = 1,2,4-triazole) were synthesized and characterized. Compound <b>1</b> exhibits a one-dimensional chain structure, compound <b>2</b> exhibits a two-dimensional layer, and compound <b>3</b> exhibits a three-dimensional cage architecture featuring a 10 Å molecular cage with two kinds of window sizes at 5 and 7.8 Å, respectively. In the evaluation of iodine adsorption in aqueous solution, compound <b>3</b> demonstrated outstanding iodine adsorption, removing 95% of iodine from aqueous solution within 200 min and maintaining high efficiency and structural stability over four adsorption-desorption cycles. This study offers a new strategy for designing radioactive iodine adsorbents and enhances the understanding of interactions between unsaturated metal sites and iodine species.

Inorganic ChemistryVol. 65(1)
Northeast Normal University (CN), Dalian University of Technology (CN), Anhui Normal University (CN)
Clean water and sanitation
Openalex Percentile: Top 48%
Covalent Organic Framework Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.