Degradable shape-memory polymer networks from oligo[(l-lactide)-ran-glycolide]dimethacrylates

Area of Science:

• Polymer Chemistry
• Materials Science
• Biomedical Engineering

Background:

• Shape-memory polymers (SMPs) offer dynamic mechanical properties.
• Degradable polymers are crucial for biomedical applications to minimize long-term complications.
• Existing SMPs may lack sufficient degradability or tailored mechanical performance.

Purpose of the Study:

• To synthesize and characterize novel degradable shape-memory polymer networks.
• To evaluate the shape-memory properties and mechanical performance of these networks.
• To explore their potential for biomedical applications like intelligent implants and drug delivery systems.

Main Methods:

• Synthesis of oligo[(-lactide)--glycolide]dimethacrylates via ring-opening polymerization.
• Functionalization of oligodiols with methacrylate groups.
• UV-initiated crosslinking to form polymer networks without photoinitiators.
• Thermomechanical testing to assess shape-memory behavior and mechanical properties.

Main Results:

• Transparent, hydrolytically degradable polymer networks were successfully synthesized.
• The polymer networks demonstrated excellent shape-memory properties with strain recovery rates near 100% under stress-controlled programming.
• Glass transition temperature (Tg) remained stable at approximately 55 °C, while mechanical properties above Tg were dependent on crosslinking density.

Conclusions:

• The developed degradable shape-memory polymer networks exhibit promising properties for biomedical use.
• Stress-controlled programming is effective for achieving high shape recovery.
• Further investigation into biomedical applications such as intelligent implants and smart drug release systems is warranted.