Toughening a Self‐Healable Supramolecular Polymer by Ionic Cluster‐Enhanced Iron‐Carboxylate Complexes
Supramolecular polymers that can heal themselves automatically usually exhibit weakness in mechanical toughness and stretchability. Here we exploit a toughening strategy for a dynamic dry supramolecular network by introducing ionic cluster‐enhanced iron‐carboxylate complexes. The resulting dry supra...
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Published in | Angewandte Chemie International Edition Vol. 59; no. 13; pp. 5278 - 5283 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
Wiley Subscription Services, Inc
23.03.2020
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Edition | International ed. in English |
Subjects | |
Online Access | Get full text |
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Summary: | Supramolecular polymers that can heal themselves automatically usually exhibit weakness in mechanical toughness and stretchability. Here we exploit a toughening strategy for a dynamic dry supramolecular network by introducing ionic cluster‐enhanced iron‐carboxylate complexes. The resulting dry supramolecular network simultaneous exhibits tough mechanical strength, high stretchability, self‐healing ability, and processability at room temperature. The excellent performance of these distinct supramolecular polymers is attributed to the hierarchical existence of four types of dynamic combinations in the high‐density dry network, including dynamic covalent disulfide bonds, noncovalent H‐bonds, iron‐carboxylate complexes and ionic clustering interactions. The extremely facile preparation method of this self‐healing polymer offers prospects for high‐performance low‐cost material among others for coatings and wearable devices.
High‐density iron‐carboxylate ionic clusters can remarkably toughen a dry supramolecular network by forming high‐affinity secondary ionic clusters. The toughened network exhibits high mechanical strength, high stretchability, efficient self‐healing ability, and processability at room temperature. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1433-7851 1521-3773 1521-3773 |
DOI: | 10.1002/anie.201913893 |