Metallic bone implant devices are commonly used to tackle a wide array of bone failures in human patients. The success of such implants relies on the biomechanical and functional bonding between the living bone tissue and implant, a process defined as osseointegration. However, the mechanism of osseointegration is still under debate in the scientific community. One efficient method to help understand this complex process is to characterize the interface between human bones and implant devices after the osseointegration has been established, while another approach is to visualize mineralization in real-time under simulated body conditions. Both of these approaches to understand mineralization have been explored in this thesis.
Firstly, due to the inhomogeneous nature of bone and complex topography of implant surfaces, a suitable sample geometry for three-dimensional (3D) characterization was required to fully understand osseointegration. Electron tomography has been proven as an efficient technique to visualize the nanoscale topography of bone-implant interface in 3D. However, resulting from the thickness and shadowing effects of conventional transmission electron microscope (TEM) lamellae at high tilt angles and the limited tilt-range of TEM holders, “missing wedge” artifacts limit the resolution of final reconstructions. In Chapter 3, the exploration of a novel sample geometry to explore osseointegration is reported. Here, on-axis electron tomography based on a needle-shaped sample was applied to solve the problem of the “missing wedge”. This resulted in a near artifact-free 3D visualization of the structure of human bone and laser-modified titanium implant, showing bone growth into the nanotopographies of the implant surface and contributing to the evolution of the definition of osseointegration towards nano-osseointegration.
One of the key issues regarding the mechanism of osseointegration that remains is that of the chemical structure at the implant interface, namely distribution of calcium-based and carbon-based components at the interface and their origins. Thus, the second objective of this thesis aimed to push characterization techniques further to four dimensions (4D), by incorporating chemical information as the fourth dimension after the spatial X,Y,Z coordinates. In Chapter 4, correlative 4D characterization techniques including electron energy-loss spectroscopy (EELS) tomography and atom probe tomography (APT) and other spectroscopy techniques were used to probe the nanoscale chemical structure of the bone-implant interface. This work uncovered a transitional biointerphase at the bone-implant interface, consisting of morphological and chemical differences compared to bone away from the interface. Also, a TiN layer between the surface oxide and bulk metal was identified in the laser-modified commercial dental implant. Both findings have implications for the immediate and long-term osseointegration.
Since bone formation at the implant interface is a dynamic process, which includes calcium phosphates (CaP) biomineralization as a basis of these reactions, the third objective of this work focused on exploring real-time mineralization processes. Liquid-phase transmission electron microscopy (LP-TEM) is a promising technique to enable real-time imaging with nanoscale spatial resolution and sufficient temporal resolution. In Chapter 5, by using this technique, we present the first real-time imaging of CaP nucleation and growth, which is a direct evidence to demonstrate that CaP mineralization occurs by particle attachment.
Overall, this thesis has applied state-of-the-art advanced microscopy techniques to enhance the knowledge and understanding of osseointegration mechanisms by investigating established biointerfaces and real-time mineralization. The developed correlative 4D tomography workflow is transferable to study other interfacial applications in materials science and biological systems, while the LP-TEM work forms a basis for further mineralization research. / Thesis / Doctor of Philosophy (PhD)
Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/23467 |
Date | 12 1900 |
Creators | Wang, Xiaoyue |
Contributors | Grandfield, Kathryn, Materials Science and Engineering |
Source Sets | McMaster University |
Language | English |
Detected Language | English |
Type | Thesis |
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