Cooperative outer-surface recognition extends host–guest chemistry for high-capacity molecular separation beyond cavity inclusion

Abstract The separation of azeotropic and structurally similar mixtures remains a fundamental challenge for conventional porous materials. Supramolecular host–guest chemistry provides exceptional recognition precision but is inherently limited by discrete cavity-confined binding. Here, we establish a strategy that extends host–guest recognition beyond cavity inclusion by activating cooperative interactions at the outer surfaces of macrocyclic hosts. Using cucurbit[7]uril (Q[7]) as a model system, we demonstrate that exposed outer surfaces can serve as amplifying recognition interfaces, where initial guest binding triggers subsequent molecular recruitment through cooperative aromatic interactions. Immobilization of Q[7] on magnetic Fe₃O₄ nanoparticles suppresses aggregation and enables synergistic cavity- and outer-surface-mediated recognition. The resulting material achieves highly selective and efficient separation of benzene (Ben) from n -heptane ( n -Hep) with enhanced adsorption capacity and recyclability. This work suggests outer-surface-mediated cooperative recognition as a general paradigm for designing supramolecular separation materials beyond cavity-centric host–guest chemistry.

Authors

Publication Details

Journal
Nature Communications
Published
2026-10-08
DOI
https://doi.org/10.1038/s41467-026-78531-8
Primary Topic
Supramolecular Chemistry and Complexes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cooperative outer-surface recognition extends host–guest chemistry for high-capacity molecular separation beyond cavity inclusion

Xi‐Sheng Wang, Qing Li, Tao Hou, Lixia Chen et al.
Nature Communications
Supramolecular Chemistry and Complexes
article

Cooperative outer-surface recognition extends host–guest chemistry for high-capacity molecular separation beyond cavity inclusion

Xi‐Sheng Wang, Qing Li, Tao Hou, Lixia Chen, Yafang Zhang, Zhu Tao
article en

Abstract

Abstract The separation of azeotropic and structurally similar mixtures remains a fundamental challenge for conventional porous materials. Supramolecular host–guest chemistry provides exceptional recognition precision but is inherently limited by discrete cavity-confined binding. Here, we establish a strategy that extends host–guest recognition beyond cavity inclusion by activating cooperative interactions at the outer surfaces of macrocyclic hosts. Using cucurbit[7]uril (Q[7]) as a model system, we demonstrate that exposed outer surfaces can serve as amplifying recognition interfaces, where initial guest binding triggers subsequent molecular recruitment through cooperative aromatic interactions. Immobilization of Q[7] on magnetic Fe₃O₄ nanoparticles suppresses aggregation and enables synergistic cavity- and outer-surface-mediated recognition. The resulting material achieves highly selective and efficient separation of benzene (Ben) from n -heptane ( n -Hep) with enhanced adsorption capacity and recyclability. This work suggests outer-surface-mediated cooperative recognition as a general paradigm for designing supramolecular separation materials beyond cavity-centric host–guest chemistry.

Nature Communications
Openalex Percentile: Top 25%
Supramolecular Chemistry and Complexes
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.

Cooperative outer-surface recognition extends host–guest chemistry for high-capacity molecular separation beyond cavity inclusion — Xi‐Sheng Wang, Qing Li, et al. · Nature Communications (2026) | TGRS Research Map | TGRS