3D-Printed CNT-Reinforced Bioresorbable Vascular Scaffold with Enhanced Mechanical Stability and Integrated Wireless...

Area of Science:

• Biomaterials Engineering
• Medical Devices
• Nanotechnology

Background:

• Polymer-based bioresorbable vascular scaffolds (BVS) are crucial in cardiovascular applications.
• Polycaprolactone (PCL) offers good biocompatibility but lacks sufficient radial strength.
• Current BVS necessitate post-implantation monitoring for complications like restenosis and thrombosis.

Purpose of the Study:

• To engineer a mechanically robust and customizable PCL-based BVS.
• To integrate a wireless sensing capability for real-time monitoring of vascular pressure.
• To overcome the limitations of low radial strength and the need for periodic monitoring in conventional BVS.

Main Methods:

• Fabrication of a carbon nanotube (CNT)-reinforced PCL BVS using 3D printing.
• Integration of a microelectromechanical systems (MEMS) fabricated wireless LC capacitive pressure sensor.
• Inclusion of a supporting micropillar within the sensor cavity to enhance stability.
• Mechanical testing to evaluate radial force and sensor performance (sensitivity, capacitance variation).
• In-vitro phantom experiments to validate sensor response to hemodynamic changes.

Main Results:

• PCL/CNT stents demonstrated significantly higher radial force (0.1 N/mm) compared to pristine PCL (0.013 N/mm).
• The wireless sensor achieved high sensitivity (49 kHz/mmHg) with minimal capacitance variation (±5%).
• In-vitro studies confirmed stable sensor performance correlating accurately with hemodynamic changes.
• 3D printing enabled patient-specific customization and improved mechanical durability.

Conclusions:

• The developed PCL/CNT smart stent offers enhanced mechanical properties and integrated wireless sensing.
• This novel device provides a noninvasive platform for real-time monitoring of vascular conditions.
• The integration of biodegradable nanocomposites, 3D printing, and wireless sensing advances cardiovascular implant technology for personalized patient care.