Manufacturing Technology 2021, 21(6):836-841 | DOI: 10.21062/mft.2021.096

3D surface roughness characteristics for biological applications

Jan Podany ORCID..., Vladimir Stary ORCID..., Jan Tomicek ORCID...
Faculty of Mechanical Engineering, Czech Technical University in Prague. Technicka 1902/4, 160 00 Praha 6. Czech Republic

This paper deals with the topographic evaluation of samples made from materials applied in biomedicine. Different samples were made from Ti, TiAlV, TiNb and austenitic steel – Fe were used together with different surface morphology created. These samples were coated with a layer of TiNb alloy. The goal was to measure surface roughness in individual samples of biomaterials and to evaluate a 3D measurement of surface morphology made with a confocal microscope. Another task was to compare with appropriate software the pictures of material topography acquired at lower and higher magnification. Lower (10x) and higher (200x) magnification was used. For measured data evaluation SPIP and Gwyddion software were used. The same method of surface treatment was used but on different samples, which can lead to different results. The values obtained from topography measurements are crucial, but their formulation or evaluation can be affected by different processing methods. Our interest was to find and record the theoretically best procedure for the evaluation of measured data. Then to better understand the cell adhesion and integration of bacteria, we dealt with visualization of topography of given samples.

Keywords: biomaterials, roughness, titanium alloys, TiNb coating, cell adhesion

Received: August 30, 2021; Revised: December 18, 2021; Accepted: December 23, 2021; Prepublished online: December 23, 2021; Published: January 8, 2022  Show citation

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Podany J, Stary V, Tomicek J. 3D surface roughness characteristics for biological applications. Manufacturing Technology. 2021;21(6):836-841. doi: 10.21062/mft.2021.096.
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    References

    1. NEOH, K. G., HU, X., ZHENG, D., KANG, E. T. Leading opinion: Balancing osteoblast functions and bacterial adhesion on functionalized titanium surfaces. Biomaterials [online]. 2012, 33(10), 2813-2822 [cit. 2017-01-14]. DOI: 10.1016/j.biomaterials.2012.01.018. ISSN 01429612. Go to original source...
    2. FILOVA, E., FOJT, J., KRYSLOVA, M., MORAVEC, H., JOSKA, L., BACAKOVA, L. The diameter of nanotubes formed on Ti-6Al-4V alloy controls the adhesion and differentiation of Saos-2 cells. International Journal of Nanomedicine, Vol 2015, Iss default, Pp 7145-7163 (2015) [online]. 2015, 2015(default), 7145-7163 [cit. 2017-01-14]. ISSN 11782013. Go to original source...
    3. STANCEKOVA, D., SEMCER, J., RUDAWSKA, A., CEP, R., Identification of Drilling of Biocompatible Materials Based on Titanium. Manufacturing Technology. 2015;15(4):699-704. doi: 10.21062/ujep/x.2015/a/1213-2489/MT/15/4/699. Go to original source...
    4. HORAK, M., 3D charakteristiky drsnosti povrchu pro biologické aplikace [online]. Praha, 2017 [quoted 2021-01-29]. Available at: https://dspace.cvut.cz/bitstream/handle/10467/70510/F2-BP-2017-Horak-Martin-HORAK_UMI_BP_2017c.pdf?sequence=1&isAllowed=y. Bachelor thesis. CTU, Faculty of Mechanical Engineering, Praha. Thesis tutor doc. Ing. Vladimír Starý, CSc.
    5. PODANY, J.; MOLOTOVNIK, A., 3D Measurement of Surface Texture Parameters. Manufacturing Technology. 2014:14(4):596-600. doi: 10.21062/ujep/x.2014/a/1213-2489/MT/14/4/596 Go to original source...
    6. NEČAS, D., KLAPETEK, P. Gwyddion: An open-source software for SPM data analysis, Cent. Eur. J. Phys. 10(1) (2012) 11-188, Czech Metrology Institute, Czech Republic. Go to original source...
    7. JØRGENSEN, J. F. The Scanning Probe Image Processor, SPIP™ V. 6.1.1, Image Metrology A/S, Lyngsø Alle 3A, Denmark.

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