Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162654
Title: Investigation of polycaprolactone for bone tissue engineering scaffolds: in vitro degradation and biological studies
Authors: Hou, Yanhao
Wang, Weiguang
Bartolo, Paulo
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Hou, Y., Wang, W. & Bartolo, P. (2022). Investigation of polycaprolactone for bone tissue engineering scaffolds: In vitro degradation and biological studies. Materials & Design, 216, 110582-. https://dx.doi.org/10.1016/j.matdes.2022.110582
Journal: Materials & Design 
Abstract: Polycaprolactone (PCL) is one of the most recognized polymeric materials used for bone tissue engineering scaffold fabrication. This study aims to evaluate the effects of the molecular weight (Mn) of PCL on the degradation kinematics, surface, microstructural, thermal, mechanical, and biological properties of 3D printed bone scaffolds. Surface properties were investigated considering water-in-air contact angle and nanoindentation tests, while morphological characteristics and degradation kinematics (accelerated degradation tests) were examined using scanning electron microscopy (SEM), pairing with thermal and mechanical properties monitored at each considered time point. A set of mathematical equations describing the variation of fiber diameter, porosity, mechanical properties, and weight, as a function of molecular weight and degradation time, were obtained based on the experimental results. Human adipose-derived stem cells (hADSCs) proliferation and differentiation tests were also conducted using in vitro colorimetric assay. All results indicated that molecular weight had impacts on the surface, mechanical and biological properties of PCL scaffolds, while no significant effects were observed on the degradation rate. Scaffolds with lower molecular weight presented better bio-mechanical properties. These findings provide useful information for the design of polymeric bone tissue engineering scaffolds.
URI: https://hdl.handle.net/10356/162654
ISSN: 0261-3069
DOI: 10.1016/j.matdes.2022.110582
Rights: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles
SC3DP Journal Articles

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