Fabricating Remote-Controllable Dynamic Ionomer/CNT Networks via Cation-π Interaction for Multi-Responsive Shape...

Area of Science:

• Materials Science
• Polymer Chemistry
• Nanotechnology

Background:

• Shape memory polymers (SMPs) are vital for actuating applications in biomedical and aeronautic fields.
• Remotely controllable triggering is a key requirement for advanced SMP applications.

Purpose of the Study:

• To develop a novel ionomer/carbon nanotube (CNT) composite network with enhanced shape memory effects (SMEs) and self-healing capabilities.
• To investigate the synergistic effects of ionic clusters and cation-π interactions for improved material performance.

Main Methods:

• Synthesized PCLQA ionomers by covalently bonding quaternary ammonium (QA) units to crystalline polycaprolactone (PCL) segments.
• Incorporated multiresponsive carbon nanotubes (CNTs) into the PCLQA matrix to form PCLQA@CNT composites.
• Characterized the mechanical properties, shape memory performance, and antibacterial effects of the developed composites.

Main Results:

• The PCLQA@CNT composites exhibited superior mechanical properties (tensile strength > 40 MPa, elongation at break > 1900%).
• Achieved excellent thermally induced SME with high shape fixity (99.6%) and recovery (92.3%).
• Demonstrated significant antibacterial activity (>99%) and self-healing capabilities via remote stimulation (NIR and electrical).

Conclusions:

• The novel PCLQA@CNT network, stabilized by ionic clusters and cation-π interactions, offers robust, remotely controllable shape memory and self-healing properties.
• The material's enhanced performance and multifunctionality pave the way for advanced intelligent devices.
• This research highlights the potential of ionomer/CNT composites for next-generation smart materials.