Home/Journal of Advanced Research (JAR)/Article Record
Peer-Reviewed Article January 26, 2020

Application of robotic-assisted in situ 3D printing in cartilage regeneration with HAMA hydrogel: An in vivo study

Are you an author of this work?Link to your sovereign AfriScholar profile
Published in: Journal of Advanced Research (JAR)
Publisher: Elsevier BV • Egypt • 2090-1224
DOI: https://doi.org/10.1016/j.jare.2020.01.010

Abstract

The concept of in situ 3D bio-printing was previously reported, while its realization has still encountered with several difficulties. The present study aimed to report robotic-assisted in situ 3D bio-printing technology for cartilage regeneration, and explore its potential in clinical application. A six-degree-of-freedom (6-DOF) robot was introduced in this study, and a fast tool center point (TCP) calibration method was developed to improve printing accuracy. The bio-ink consisted of hyaluronic acid methacrylate and acrylate-terminated 4-armed polyethylene glycol was employed as well. The in vitro experiment was performed on a resin model to verify the printing accuracy. The in vivo experiment was conducted on rabbits to evaluate the cartilage treatment capability. According to our results, the accuracy of the robot could be notably improved, and the error of printed surface was less than 30 μm. The osteochondral defect could be repaired during about 60 s, and the regenerated cartilage in hydrogel implantation and in situ 3D bio-printing groups demonstrated the same biomechanical and biochemical performance. We found that the cartilage injury could be treated by using this method. The robotic-assisted in situ 3D bio-printing is highly appropriate for improving surgical procedure, as well as promoting cartilage regeneration.

Download Full Text PDFView at PublisherCrossref RecordCrossref XML

Verified Citation Velocity

Recorded scholarly citations in African and international peer-reviewed literature

180
Total Citations

Citations are continuously tracked and harvested across continental OJS endpoints and OpenAlex feeds.