Load‐bearing biodegradable PCL‐PGA ‐beta TCP scaffolds for bone tissue regeneration

Autor: Ibrahim Aldulijan, Amalia Terracciano, Tsan-Liang Su, Carlos H. Leon, Aneela Anwar, Xiaojun Yu, Alok Kumar, Sangamesh G. Kumbar, Dilhan M. Kalyon, Seyed Mohammad Mir, Xiao Zhao, Agrim Mahajan
Rok vydání: 2020
Předmět:
Zdroj: Journal of Biomedical Materials Research Part B: Applied Biomaterials. 109:193-200
ISSN: 1552-4981
1552-4973
DOI: 10.1002/jbm.b.34691
Popis: A biocompatible and biodegradable scaffold with load-bearing ability is required to enhance the repair of bone defects by facilitating the attachment, and proliferation of cells, and vascularization during new bone formation. However, it is challenging to maintain the porosity and biodegradability, as well as mechanical properties (especially compressive strength), at the same time. Therefore, in the present work, a biodegradable composite structure of poly(caprolactone) (PCL) was designed using compression molding with varying amounts of poly(glycolic acid) (PGA) (25, 50, 75 wt%) and fixed amount (20 wt%) of beta tricalcium phosphate (beta TCP). It was hypothesized that the fabricated composite structure will develop porosity during the degradation of the PGA and that the corresponding decrease in mechanical properties will be compensated by new bone formation and ingrowth, in vivo. Accordingly, we have systematically studied the effects of sample composition on time-dependent dissolution and mechanical properties of the PGA/beta TCP scaffolds. The compressive strength increased up to ~92 MPa at 50% compression of the designed PCL-PGA samples. Furthermore, the dissolution rate, as well as weight loss, was observed to increase with an increase in the PGA amount in PCL. Based on the mechanical properties and dissolution data, it is concluded that the PCL-PGA scaffolds with beta TCP can be suitable candidates for bone tissue engineering applications, specifically for the reconstruction of bone defects, where strength and biodegradation are both important characteristics.
Databáze: OpenAIRE