Enhanced Cooperative Lithium Halide Recognition by Heteroditopic Halogen Bonding (XB) Macrocycles

A series of macrocyclic heteroditopic receptors was synthesized to investigate cooperative recognition of alkali-metal halide ion pairs. The receptors combine either a 1,3-bis-iodotriazole (XB) or 1,3-bis-prototriazole (HB) benzene scaffold for halide binding with poly(ethylene glycol)-based macrocyclic moieties for cation coordination. Intensive <sup>1</sup>H NMR binding studies revealed that XB-functionalized macrocycles exhibit significantly higher halide affinities than their HB analogues, while increased macrocycle size enhances alkali-metal cation binding strength. Notably, the halide-bound <b>1·XB</b> macrocycle induced strong positive cooperativity in lithium-ion recognition, with up to a 7-fold increase in binding affinity. Density functional theory (DFT) calculations suggest that electrostatic stabilization between cobound ions underlies this effect, with the most pronounced enhancement observed for the <b>1·XB</b>@LiI complex. Solid-liquid extraction experiments further demonstrated the practical potential of the XB system, achieving efficient transfer of lithium halide salts into organic solution. These findings establish halogen-bonded macrocycles as effective platforms for cooperative ion-pair recognition and highlight their promise for applications in lithium salt recovery and recycling.

Authors

Institutions

Publication Details

Journal
Inorganic Chemistry
Published
2025-12-24
DOI
https://doi.org/10.1021/acs.inorgchem.5c04533
Citations
1
Primary Topic
Molecular Sensors and Ion Detection
Type
article
Field-Weighted Citation Impact
0.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Cooperative Lithium Halide Recognition by Heteroditopic Halogen Bonding (XB) Macrocycles

Thanthapatra Bunchuay, Jonggol Tantirungrotechai, Natthapat Sawektreeratana, Mongkol Sukwattanasinitt et al.
1 citations
Inorganic Chemistry
Molecular Sensors and Ion Detection
0.76
article

Enhanced Cooperative Lithium Halide Recognition by Heteroditopic Halogen Bonding (XB) Macrocycles

Thanthapatra Bunchuay, Jonggol Tantirungrotechai, Natthapat Sawektreeratana, Mongkol Sukwattanasinitt, Paul D. Beer, David J. Harding, Theerapat Khianjinda, Pasit Srisawat, Sutthipoj Vigromsitdet, Yuthana Tantirungrotechai
article en
1 citations

Abstract

A series of macrocyclic heteroditopic receptors was synthesized to investigate cooperative recognition of alkali-metal halide ion pairs. The receptors combine either a 1,3-bis-iodotriazole (XB) or 1,3-bis-prototriazole (HB) benzene scaffold for halide binding with poly(ethylene glycol)-based macrocyclic moieties for cation coordination. Intensive <sup>1</sup>H NMR binding studies revealed that XB-functionalized macrocycles exhibit significantly higher halide affinities than their HB analogues, while increased macrocycle size enhances alkali-metal cation binding strength. Notably, the halide-bound <b>1·XB</b> macrocycle induced strong positive cooperativity in lithium-ion recognition, with up to a 7-fold increase in binding affinity. Density functional theory (DFT) calculations suggest that electrostatic stabilization between cobound ions underlies this effect, with the most pronounced enhancement observed for the <b>1·XB</b>@LiI complex. Solid-liquid extraction experiments further demonstrated the practical potential of the XB system, achieving efficient transfer of lithium halide salts into organic solution. These findings establish halogen-bonded macrocycles as effective platforms for cooperative ion-pair recognition and highlight their promise for applications in lithium salt recovery and recycling.

Inorganic ChemistryVol. 65(1)
Thammasat University (TH), Mansfield University (US), Chulalongkorn University (TH), Mahidol University (TH), Oxford Research Group (GB), University of Oxford (GB), Centre for Sustainable Energy (GB), Suranaree University of Technology (TH)
Openalex Percentile: Top 22%
Molecular Sensors and Ion Detection
0.76
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.