Fabricating Remote-Controllable Dynamic Ionomer/CNT Networks via Cation–π Interaction for Multi-Responsive Shape Memory and Self-Healing Capacities

Shape memory polymers (SMPs) with remotely controllable triggering capabilities are crucial for actuating applications in biomedical and aeronautic devices. This work presents a novel ionomer/carbon nanotube (CNT) composite network with exceptional remotely controllable shape memory effects (SMEs) and self-healing capabilities. By integrating quaternary ammonium (QA) units covalently bonded to crystalline polycaprolactone (PCL) segments through a chain extension reaction, we not only enabled the formation of ion clusters that act as netpoints in PCLQA ionomers to achieve superior SMEs, but also facilitated the generation of cation-π interactions when the multiresponsive CNTs were incorporated into the PCLQA ionomer matrix. This resulted in a robust physical PCLQA@CNT network stabilized by ionic clusters and cation-π interactions, along with significantly enhanced CNT dispersion. The PCLQA@CNT composites demonstrated remarkably improved mechanical performance (tensile strength, σ<sub>b</sub> > 40 MPa; elongation at break, ε<sub>b</sub> > 1900%), excellent thermally induced SME (shape fixity ratio of 99.6% and shape recovery ratio of 92.3%), and exceptional antibacterial effects (>99% against <i>Escherichia coli</i> and <i>Staphylococcus aureus</i>). Furthermore, the physical dynamic interactions endowed PCLQA@CNT networks with reproducibility and welding capability. The remotely controllable shape memory and self-healing behaviors via NIR and electrical stimulation were verified and demonstrated. This work paves the way for developing remotely controllable shape memory materials for advanced intelligent devices and applications.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-03-05
DOI
https://doi.org/10.1021/acsami.5c00788
Citations
4
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
2.43

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article

Fabricating Remote-Controllable Dynamic Ionomer/CNT Networks via Cation–π Interaction for Multi-Responsive Shape Memory and Self-Healing Capacities

Yi Xiao, Li Tang, Ke‐Ke Yang, Ling‐Ying Shi et al.
4 citations
ACS Applied Materials & Interfaces
Polymer composites and self-healing
2.43
article

Fabricating Remote-Controllable Dynamic Ionomer/CNT Networks via Cation–π Interaction for Multi-Responsive Shape Memory and Self-Healing Capacities

Yi Xiao, Li Tang, Ke‐Ke Yang, Ling‐Ying Shi, Dan Liu, Yu‐Zhong Wang
article en
4 citations

Abstract

Shape memory polymers (SMPs) with remotely controllable triggering capabilities are crucial for actuating applications in biomedical and aeronautic devices. This work presents a novel ionomer/carbon nanotube (CNT) composite network with exceptional remotely controllable shape memory effects (SMEs) and self-healing capabilities. By integrating quaternary ammonium (QA) units covalently bonded to crystalline polycaprolactone (PCL) segments through a chain extension reaction, we not only enabled the formation of ion clusters that act as netpoints in PCLQA ionomers to achieve superior SMEs, but also facilitated the generation of cation-π interactions when the multiresponsive CNTs were incorporated into the PCLQA ionomer matrix. This resulted in a robust physical PCLQA@CNT network stabilized by ionic clusters and cation-π interactions, along with significantly enhanced CNT dispersion. The PCLQA@CNT composites demonstrated remarkably improved mechanical performance (tensile strength, σ<sub>b</sub> > 40 MPa; elongation at break, ε<sub>b</sub> > 1900%), excellent thermally induced SME (shape fixity ratio of 99.6% and shape recovery ratio of 92.3%), and exceptional antibacterial effects (>99% against <i>Escherichia coli</i> and <i>Staphylococcus aureus</i>). Furthermore, the physical dynamic interactions endowed PCLQA@CNT networks with reproducibility and welding capability. The remotely controllable shape memory and self-healing behaviors via NIR and electrical stimulation were verified and demonstrated. This work paves the way for developing remotely controllable shape memory materials for advanced intelligent devices and applications.

ACS Applied Materials & InterfacesVol. 17(11)
Sichuan University (CN), West China Hospital of Sichuan University (CN), Ingenierie des Materiaux polymeres (FR)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 13%
Polymer composites and self-healing
2.43
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