Photoresponsive Mechanically Interlocked [ a n]Daisy Chain Network

Abstract Muscle integrates molecular-machine motion with hierarchical structural organization, enabling it to sustain large deformations under physiological loads. Mechanically interlocked molecules offer a versatile platform to mimic such molecular-level motion, but efficiently translating it into macroscopic material performance, akin to muscle, remains challenging. Herein, we report a mechanically interlocked network (MIN) with [an]daisy chain backbone which can efficiently scale up the photoresponsive behavior of mechanical bonds, exhibiting intelligently tunable mechanical properties. In specific, photoresponsive unit of arylazopyrazole (AAP) is embedded onto the axis of each mechanical bond in the [an]daisy chain backbone. Ultraviolet light triggers the trans-to-cis (E/Z) isomerization of the AAP moieties, and when amplified through the [an]daisy chain backbone, it brings about significant changes in the material’s properties. On one hand, the E/Z isomerization significantly shortens the dimension of the [an]daisy chain framework, resulting in a notable increase in the material modulus (from 1.6 to 4.0 MPa). On the other hand, the cis configuration of AAP formed after the isomerization restricts the mobility of the mechanical bonds, resulting in a shorter elongation at break (from 343% to 272%). Our work presents an efficient method for amplifying mechanical bond responsiveness, providing a fresh perspective for the development of intelligent materials.

Authors

Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2026-11-10
DOI
https://doi.org/10.1021/jacs.6c14090
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
NOV
article

Photoresponsive Mechanically Interlocked [ a n]Daisy Chain Network

Jun Hong Zhao, Xuzhou Yan, Panchao Yin, Jianzhen Wu et al.
Journal of the American Chemical Society
Supramolecular Chemistry and Complexes
article

Photoresponsive Mechanically Interlocked [ a n]Daisy Chain Network

Jun Hong Zhao, Xuzhou Yan, Panchao Yin, Jianzhen Wu, Ruixue Bai, Shaolei Qu, Lin Song Cheng, Zhaoming Zhang, Wei Yu, Tao Wen, Liu Y, Li Yang, Yongming Wang, Jingxi Deng, Yang Wang, Zhiwei Fan, Yuanhao Wang, Guoquan Liu
article en

Abstract

Abstract Muscle integrates molecular-machine motion with hierarchical structural organization, enabling it to sustain large deformations under physiological loads. Mechanically interlocked molecules offer a versatile platform to mimic such molecular-level motion, but efficiently translating it into macroscopic material performance, akin to muscle, remains challenging. Herein, we report a mechanically interlocked network (MIN) with [an]daisy chain backbone which can efficiently scale up the photoresponsive behavior of mechanical bonds, exhibiting intelligently tunable mechanical properties. In specific, photoresponsive unit of arylazopyrazole (AAP) is embedded onto the axis of each mechanical bond in the [an]daisy chain backbone. Ultraviolet light triggers the trans-to-cis (E/Z) isomerization of the AAP moieties, and when amplified through the [an]daisy chain backbone, it brings about significant changes in the material’s properties. On one hand, the E/Z isomerization significantly shortens the dimension of the [an]daisy chain framework, resulting in a notable increase in the material modulus (from 1.6 to 4.0 MPa). On the other hand, the cis configuration of AAP formed after the isomerization restricts the mobility of the mechanical bonds, resulting in a shorter elongation at break (from 343% to 272%). Our work presents an efficient method for amplifying mechanical bond responsiveness, providing a fresh perspective for the development of intelligent materials.

Journal of the American Chemical Society
Shanghai Jiao Tong University (CN), Technische Universität Darmstadt (DE), South China University of Technology (CN)
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.

Laika access coming soon