Nanoscale study of cartilage surfaces using atomic force microscopy

Wang, Meiling, Peng, Zhongxiao, Watson, Jolanta A., Watson, Gregory S., and Yin, Ling (2012) Nanoscale study of cartilage surfaces using atomic force microscopy. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 226 (12). pp. 899-910.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1177/09544119124604...
9


Abstract

Articulating cartilage wear plays an important role in cartilage degeneration and osteoarthritis (OA) progression. This study investigated the changes of mechanical properties and surface roughness of sheep cartilages with wear progression at a nanometre scale. Young sheep's rear legs were subjected to a series of wear tests to generate worn cartilage samples to simulate the OA progression. Atomic force microscopy (AFM) was used to determine the effective indentation modulus and to measure the surface morphology of moist cartilage surfaces. The study has found that the mean effective indentation modulus values of worn cartilages were lower than that of healthy cartilage as the control sample. A medium-to-strong correlation between the effective indentation modulus values and the OA grades has been found. The relation between surface topography and effective indentation modulus values of the cartilage surfaces with OA progression was weakly correlated. The method established in this study can be implemented to investigate the effective indentation modulus values of clinical osteoarthritic cartilages and to assist in the understanding and assessment of OA.

Item ID: 25031
Item Type: Article (Research - C1)
ISSN: 2041-3033
Keywords: effective indentation modulus, cartilage surface, surface morphology, wear, atomic force microscopy
Date Deposited: 20 Feb 2013 09:15
FoR Codes: 06 BIOLOGICAL SCIENCES > 0699 Other Biological Sciences > 069999 Biological Sciences not elsewhere classified @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page