Effect of Albumin Concentrations on Frictional Coefficients of Cobalt-Chromium Femoral Head From Atomic Force Microscopy

Author(s):  
CongTruyen Duong ◽  
Jae-Hoon Lee ◽  
SangSoo Lee ◽  
Seonghun Park

Atomic Force Microscopy (AFM) has been widely used to measure frictional properties of diverse materials at the microscopic level [1, 2]. Furthermore, there has been the general agreement that albumin plays an important role as an effective lubricant in the frictional behavior of hip implant materials. Through hip simulator, it has been reported that either boundary or mixed lubrication occurs when bovine serum albumin was used as a lubricant [3, 4]. When lubricants contained proteins of albumin or globulin, the frictional properties of the rubbing surfaces were affected by the adsorption of these constituents on the bearing surfaces of the prostheses [4]. Through macroscopic pin-on-disk measurements, another study in the literature has reported the importance of albumin as an effective lubricant for reducing friction and wear of hip implant materials [5]. Although microscopic AFM measurements are very effective for exploring boundary lubrication of diverse lubricants on joint implants, because the frictional coefficients of bearing surfaces in the joint implants can be measured without being affected by the surface roughness of bearing materials, the effect of boundary lubrications of bovine serum albumin (BSA) on hip implant materials has not been well identified. Therefore, the objective of the present study is to investigate the role of BSA as a boundary lubricant in the lubrication of cobalt-chromium (CoCr) femoral head ten years after total hip arthroplasty (THA) by measuring its frictional coefficients with AFM techniques.

2020 ◽  
Vol 22 (34) ◽  
pp. 19162-19171 ◽  
Author(s):  
Georgia A. Pilkington ◽  
Anna Oleshkevych ◽  
Patricia Pedraz ◽  
Seiya Watanabe ◽  
Milad Radiom ◽  
...  

Neutron reflectivity and atomic force microscopy results reveal the electroresponsive interfacial structuring and nano-frictional properties of ionic liquid (IL) lubricant mixtures with a polar solvent are strongly dependent on bulk IL concentration.


2021 ◽  
pp. 1-10
Author(s):  
Ngoc-Phat Huynh ◽  
Tuan-Em Le ◽  
Koo-Hyun Chung

Atomic force microscopy (AFM) can determine mechanical properties, associated with surface topography and structure, of a material at the nanoscale. Force–indentation curves that depict the deformation of a target specimen as a function of an applied force are widely used to determine the elastic modulus of a material based on a contact model. However, a hysteresis may arise due to friction between the AFM tip and a specimen. Consequently, the normal force detected using a photodetector during extension and retraction could be underestimated and overestimated, respectively, and the extension/retraction data could result in a significant difference in the elastic modulus measurement result. In this study, elastic modulus and friction coefficient values were determined based on an in situ theoretical model that compensated for the effect of friction on force–indentation data. It validated the proposed model using three different polymer specimens and colloidal-tipped probes for the force–indentation curve and friction loop measurements. This research could contribute to the accurate measurement of mechanical properties using AFM by enhancing the interpretation of force–indentation curves with friction-induced hysteresis. Furthermore, the proposed approach may be useful for analyzing in situ relationships between mechanical and frictional properties from a fundamental tribological perspective.


Materials ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 4803
Author(s):  
Alessandro Gambardella ◽  
Gregorio Marchiori ◽  
Melania Maglio ◽  
Alessandro Russo ◽  
Chiara Rossi ◽  
...  

Many biomaterials’ surfaces exhibit directional properties, i.e., possess spatial anisotropy on a range of spatial scales spanning from the domain of the naked eye to the sub-micrometer level. Spatial anisotropy of surface can influence the mechanical, physicochemical, and morphological characteristics of the biomaterial, thus affecting its functional behavior in relation, for example, to the host tissue response in regenerative processes, or to the efficacy of spatially organized surface patterns in avoiding bacterial attachment. Despite the importance of the availability of quantitative data, a comprehensive characterization of anisotropic topographies is generally a hard task due to the proliferation of parameters and inherent formal complications. This fact has led so far to excessive simplification that has often prevented researchers from having comparable results. In an attempt to overcome these issues, in this work a systematic and multiscale approach to spatial anisotropy is adopted, based on the determination of only two statistical parameters of surface, namely the texture aspect ratio Str and the roughness exponent H, extracted from atomic force microscopy images of the surface. The validity on this approach is tested on four commercially available implant materials, namely titanium alloy, polyethylene, polyetheretherketone and polyurethane, characterized by textured surfaces obtained after different machining. It is found that the “two parameters” approach is effective in describing the anisotropy changes on surfaces with complex morphology, providing a simple quantitative route for characterization and design of natural and artificial textured surfaces at spatial scales relevant to a wide range of bio-oriented applications.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
David Andersson ◽  
Astrid S. de Wijn

AbstractFriction is a ubiquitous phenomenon that greatly affects our everyday lives and is responsible for large amounts of energy loss in industrialised societies. Layered materials such as graphene have interesting frictional properties and are often used as (additives to) lubricants to reduce friction and protect against wear. Experimental Atomic Force Microscopy studies and detailed simulations have shown a number of intriguing effects such as frictional strengthening and dependence of friction on the number of layers covering a surface. Here, we propose a simple, fundamental, model for friction on thin sheets. We use our model to explain a variety of seemingly contradictory experimental as well as numerical results. This model can serve as a basis for understanding friction on thin sheets, and opens up new possibilities for ultimately controlling their friction and wear protection.


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