Shape Memory Supramolecular Polymer Gels Constructed by Pillar[5]arene-Based Mechanically Interlocked Polymer Networks

Mechanically interlocked networks are cross-linked by mechanically interlocked polymers, whose dynamic mechanical bonding provides a solid foundation for their application in materials science. Noncovalent interactions are indispensable linkages for building supramolecular polymers but exhibit low mechanical strength. Therefore, in this paper, we have designed and synthesized a class of mechanically interlocked supramolecular polymer networks (MISPNs) with shape memory behavior, using which we have prepared gel materials with solvent-responsive shape memory behavior and reversible light transmittance changes in response to noncovalent interactions. It was found that the naphthalene-functionalized pillar[5]arene (compound 3) served as the backbone of the MISPNs, and its mechanically interlocked topology not only ensured good stability of the polymer networks but also endowed the shape memory properties of the shape memory materials. Meanwhile, the abundant oxygen (O) and sulfur (S) atoms in the polymer networks form multiple hydrogen bonds with the H atoms in the protonated solvent, which contributes to the shape memory behavior and the reversible light transmission behavior of the gel materials. The herein reported MISPNs gel materials offer a possible strategy for the development of multifunctional materials with good mechanical properties, sensitive stimulus response properties, and excellent smart information protection properties.

Authors

Institutions

Publication Details

Journal
Macromolecules
Published
2024-12-24
DOI
https://doi.org/10.1021/acs.macromol.4c02463
Citations
6
Primary Topic
Supramolecular Self-Assembly in Materials
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shape Memory Supramolecular Polymer Gels Constructed by Pillar[5]arene-Based Mechanically Interlocked Polymer Networks

Wenjuan Qu, Tai‐Bao Wei, Qi Lin, Jin-Fa Chen et al.
6 citations
Macromolecules
Supramolecular Self-Assembly in Materials
1.04
article

Shape Memory Supramolecular Polymer Gels Constructed by Pillar[5]arene-Based Mechanically Interlocked Polymer Networks

Wenjuan Qu, Tai‐Bao Wei, Qi Lin, Jin-Fa Chen, Wenhuan Zhang, Bingbing Shi, Hong Yao
article en
6 citations

Abstract

Mechanically interlocked networks are cross-linked by mechanically interlocked polymers, whose dynamic mechanical bonding provides a solid foundation for their application in materials science. Noncovalent interactions are indispensable linkages for building supramolecular polymers but exhibit low mechanical strength. Therefore, in this paper, we have designed and synthesized a class of mechanically interlocked supramolecular polymer networks (MISPNs) with shape memory behavior, using which we have prepared gel materials with solvent-responsive shape memory behavior and reversible light transmittance changes in response to noncovalent interactions. It was found that the naphthalene-functionalized pillar[5]arene (compound 3) served as the backbone of the MISPNs, and its mechanically interlocked topology not only ensured good stability of the polymer networks but also endowed the shape memory properties of the shape memory materials. Meanwhile, the abundant oxygen (O) and sulfur (S) atoms in the polymer networks form multiple hydrogen bonds with the H atoms in the protonated solvent, which contributes to the shape memory behavior and the reversible light transmission behavior of the gel materials. The herein reported MISPNs gel materials offer a possible strategy for the development of multifunctional materials with good mechanical properties, sensitive stimulus response properties, and excellent smart information protection properties.

MacromoleculesVol. 58(1)
Northwest Normal University (CN)
Northwest Normal University, National Natural Science Foundation of China, Science Fund for Distinguished Young Scholars of Gansu Province
Affordable and clean energy
Openalex Percentile: Top 26%
Supramolecular Self-Assembly in Materials
1.04
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.